365datascience | 52E861553CC3CA0D53F0344A9AC46CF3E1B39BE6

365datascience

Name	365datascience	DOWNLOAD Copy Link
Total Size	28.9 GB
Total Files	1498
Last Seen	2025-02-16 01:12
Hash	52E861553CC3CA0D53F0344A9AC46CF3E1B39BE6

/Python Programmer Bootcamp/
2. Why code and why Python.mp4.mp4	182.1 MB
1. What does the course cover.mp4.mp4	58.0 MB
2. Installing Python_v2.mp4.mp4	59.9 MB
3. Introducing Spyder.mp4.mp4	63.8 MB
4. Print function.mp4.mp4	61.3 MB
5. The solution.mp4.mp4	14.2 MB
5.1 Variables.mp4.mp4	31.1 MB
5.2 Strings.mp4.mp4	30.4 MB
5.3. Let's write a program.mp4.mp4	10.6 MB
5.4. Q1.mp4.mp4	7.2 MB
5.5. Q2.mp4.mp4	7.1 MB
5.6. Q3.mp4.mp4	13.3 MB
5.7. Q4.mp4.mp4	5.3 MB
5.8. Q5.mp4.mp4	27.4 MB
6.1_conditionals.mp4.mp4	51.0 MB
6.2 Logical operators.mp4.mp4	12.3 MB
6.3 Not true is false.mp4.mp4	11.7 MB
6.4 IF statement.mp4.mp4	45.0 MB
6.5 More on strings.mp4.mp4	73.4 MB
6.6 More strings!.mp4.mp4	55.8 MB
6.7 Practical challenge.mp4.mp4	67.5 MB
7.1 Intro to For loops.mp4.mp4	37.4 MB
7.2. more on variables.mp4.mp4	21.9 MB
7.3. Lists.mp4.mp4	57.1 MB
7.4. The power of lists and loops working together.mp4.mp4	77.5 MB
7.5. Common list methods.mp4.mp4	14.8 MB
7.6 While loops.mp4.mp4	38.6 MB
7.7. Modulus.mp4.mp4	24.6 MB
7.8 Practical challenge.mp4.mp4	87.0 MB
8.1. Modules.mp4.mp4	33.1 MB
8.2 Dictionaries.mp4.mp4	66.7 MB
8.3. Zip function.mp4.mp4	11.0 MB
8.4 More string methods.mp4.mp4	19.8 MB
8.5. Tuples.mp4.mp4	10.3 MB
8.6 More than 1 dimension.mp4.mp4	16.5 MB
8.7 Import counters 1 of 2.mp4.mp4	39.0 MB
8.8 Import counters 2 of 2.mp4.mp4	47.5 MB
9.0.1_Files and functions.mp4.mp4	46.2 MB
9.0.2 Appending to a file.mp4.mp4	14.5 MB
9.0.3. Functions.mp4.mp4	52.8 MB
9.0.4. Fibonacci in a function.mp4.mp4	21.8 MB
9.0.5 Recursion.mp4.mp4	21.8 MB
9.1.1 Objects.mp4.mp4	60.1 MB
9.1.2 Class.mp4.mp4	8.4 MB
9.1.3 _Init_.mp4.mp4	8.1 MB
9.1.4 Class variables.mp4.mp4	7.5 MB
9.1.5 Methods.mp4.mp4	14.6 MB
9.1.6 Inheritance.mp4.mp4	18.6 MB
9.1.7 Practical exercise 1.mp4.mp4	32.8 MB
9.1.8 Practical exercise 2.mp4.mp4	4.5 MB
9.2_general_tips.mp4.mp4	142.3 MB
9.3.1_Big_O.mp4.mp4	145.1 MB
9.3.2 O(n).mp4.mp4	42.0 MB
9.3.3 O(n^2).mp4.mp4	53.0 MB
9.3.4 O(n!).mp4.mp4	66.6 MB
9.3.5 Summary.mp4.mp4	19.5 MB
9.4.1.mp4.mp4	37.7 MB
9.4.2 Caesar cipher.mp4.mp4	66.6 MB
9.4.3 Jupyter notebook intro.mp4.mp4	10.9 MB
9.4.4 Caesar cipher solution.mp4.mp4	37.9 MB
9.4.5 Two sum.mp4.mp4	31.8 MB
9.4.6 Two sum solution.mp4.mp4	69.5 MB
9.4.7 Card class.mp4.mp4	5.5 MB
9.4.8 Playing card class.mp4.mp4	14.2 MB
9.4.9 Playing card class solution.mp4.mp4	8.7 MB
9.5.1 Matplotlib.mp4.mp4	38.2 MB
9.5.2 Random walk explanation.mp4.mp4	33.1 MB
9.5.3 Simulating a random walk.mp4.mp4	28.2 MB
9.5.4 Sierpinski triangle.mp4.mp4	52.8 MB
9.5.5 Creating the triangle in Matplotlib.mp4.mp4	28.1 MB
9.5.6 Python imaging library.mp4.mp4	22.7 MB
9.6.1 Intro to stacks.mp4.mp4	114.4 MB
9.6.2 Coding a stack in Python.mp4.mp4	14.3 MB
9.6.3 Practical challenge - stacks.mp4.mp4	71.6 MB
9.6.4 Hint on solving the challenge.mp4.mp4	27.2 MB
9.6.5 Solving the stacks challenge.mp4.mp4	25.6 MB
9.6.6 Towers of Hanoi.mp4.mp4	57.3 MB
9.6.7 Some hints.mp4.mp4	61.5 MB
9.6.8 Code for Tower of Hanoi.mp4.mp4	14.7 MB
9.6.9 Enumerate sets and none.mp4.mp4	23.2 MB
9.7.1.mp4.mp4	16.1 MB
9.7.2 Linear search.mp4.mp4	43.9 MB
9.7.3 Binary search.mp4.mp4	82.3 MB
9.7.4 Insertion sort.mp4.mp4	123.4 MB
9.8.1 Intro to cards and coins.mp4.mp4	48.8 MB
9.8.2 Luhn's algorithm.mp4.mp4	22.5 MB
9.8.3 Coins.mp4.mp4	47.7 MB
9.8.4 Coins - Python code.mp4.mp4	35.9 MB
9.9.1 Debugging.mp4.mp4	46.2 MB
9.9.2 Beyond the PRINT function.mp4.mp4	29.5 MB
9.9.3 Debugging in Spyder.mp4.mp4	22.2 MB
9.9.4 A little more on strings.mp4.mp4	20.8 MB
9.9.5 Regular expressions.mp4.mp4	29.1 MB
9.9.6 More regular expressions.mp4.mp4	19.7 MB
9.9.7 Type hints.mp4.mp4	18.0 MB
9.9.8 Farewell.mp4.mp4	113.7 MB
10.0 Introduction to the project.mp4.mp4	69.1 MB
10.1 Coin photographs.mp4.mp4	14.1 MB
10.2 Introducing OpenCV.mp4.mp4	14.7 MB
10.3 Starting to work with Visual Studio.mp4.mp4	18.2 MB
10.4 Hough circle transform.mp4.mp4	30.0 MB
10.5 Get circle radii.mp4.mp4	9.5 MB
10.6 Get brightness values.mp4.mp4	12.2 MB
10.7 Performing coin classification.mp4.mp4	15.6 MB
10.8 Closing remarks.mp4.mp4	14.8 MB
/Advanced Microsoft Excel/
Advanced Excel - Tips and Tricks - Part I.mp4.mp4	40.7 MB
Advanced Excel - Tips and Tricks - Part II.mp4.mp4	39.9 MB
Advanced Excel - Tips and Tricks - Part III.mp4.mp4	31.0 MB
Advanced Excel - Tips and Tricks - Part IV.mp4.mp4	23.6 MB
Cell Styles.mp4.mp4	28.4 MB
Circ Refs Example.mp4.mp4	10.7 MB
circ refs the basics.mp4.mp4	15.1 MB
Cond Formatting.mp4.mp4	26.9 MB
Custom Numbers.mp4.mp4	19.5 MB
Date Functions.mp4.mp4	15.5 MB
F and R - Formulas.mp4.mp4	27.3 MB
F and R Formatting.mp4.mp4	34.0 MB
F keys.mp4.mp4	24.6 MB
Filter by Color.mp4.mp4	22.6 MB
Format Cells Pt I.mp4.mp4	13.9 MB
FP and Paste Sp.mp4.mp4	12.9 MB
Group Cols and Rows.mp4.mp4	38.3 MB
Group Sheets.mp4.mp4	6.6 MB
Index and Match.mp4.mp4	33.1 MB
INDIRECT Vlookup Indirect.mp4.mp4	20.0 MB
Nested Functions.mp4.mp4	9.5 MB
Offset, Offset and Match.mp4.mp4	21.7 MB
Pro Formatting.mp4.mp4	27.8 MB
Rols Cols. Vlookup and Cols.mp4.mp4	18.6 MB
Select Vis Cells.mp4.mp4	18.3 MB
Split Screen.mp4.mp4	40.6 MB
Trace Precedents.mp4.mp4	22.0 MB
Vlookup and Choose.mp4.mp4	10.6 MB
Vlookup and Match.mp4.mp4	7.8 MB
Why Excel and Why Modeling.mp4.mp4	9.4 MB
Advanced Excel - Index, Match, Match.mp4.mp4	13.8 MB
/Credit Risk Modeling in Python/
1.1. What is credit risk. Why is credit risk important.mp4.mp4	20.1 MB
1.2. Expected loss (EL) and its components.mp4.mp4	16.7 MB
1.3.mp4.mp4	18.0 MB
1.4.mp4.mp4	35.5 MB
1.5.mp4.mp4	37.1 MB
2.1.mp4.mp4	1.8 MB
2.2.mp4.mp4	9.4 MB
2.3.mp4.mp4	7.6 MB
2.4.mp4.mp4	4.5 MB
2.5.mp4.mp4	9.6 MB
2.6.mp4.mp4	3.2 MB
3.1.mp4.mp4	15.8 MB
3.2.mp4.mp4	18.8 MB
4.1.mp4.mp4	14.2 MB
4.2.mp4.mp4	29.4 MB
4.4.mp4.mp4	16.1 MB
4.5.mp4.mp4	8.0 MB
5.1.mp4.mp4	12.9 MB
5.2.mp4.mp4	12.5 MB
5.3.mp4.mp4	17.1 MB
5.4.mp4.mp4	13.5 MB
5.5.mp4.mp4	18.8 MB
5.6.mp4.mp4	18.2 MB
5.7.mp4.mp4	13.9 MB
5.8.mp4.mp4	21.7 MB
5.9.mp4.mp4	16.7 MB
5.10.mp4.mp4	35.8 MB
5.12.mp4.mp4	17.4 MB
5.13.mp4.mp4	15.6 MB
5.14.mp4.mp4	35.8 MB
5.16.mp4.mp4	33.0 MB
5.18.mp4.mp4	8.9 MB
6.1.mp4.mp4	19.6 MB
6.2.mp4.mp4	13.2 MB
6.3.mp4.mp4	8.5 MB
6.4.mp4.mp4	39.9 MB
6.5.mp4.mp4	12.0 MB
7.1.mp4.mp4	16.3 MB
7.2.mp4.mp4	24.6 MB
7.3.mp4.mp4	23.2 MB
8.1.mp4.mp4	11.5 MB
8.2.mp4.mp4	37.5 MB
8.3.mp4.mp4	13.2 MB
8.4.mp4.mp4	7.1 MB
8.5.mp4.mp4	28.0 MB
9.1.mp4.mp4	11.3 MB
9.2_new.mp4.mp4	47.2 MB
9.3.mp4.mp4	27.6 MB
10.1.mp4.mp4	14.5 MB
10.2.mp4.mp4	11.7 MB
10.3.mp4.mp4	12.5 MB
11.1.mp4.mp4	8.1 MB
11.2.mp4.mp4	15.5 MB
11.3.mp4.mp4	11.8 MB
11.4.mp4.mp4	6.7 MB
11.5.mp4.mp4	12.2 MB
11.6.mp4.mp4	8.2 MB
11.7.mp4.mp4	7.4 MB
12.1.mp4.mp4	14.4 MB
12.2.mp4.mp4	9.6 MB
13.1.mp4.mp4	38.2 MB
/Customer Analytics in Python/
1.1.mp4.mp4	26.2 MB
1.2.mp4.mp4	28.2 MB
1.3.mp4.mp4	23.7 MB
1.4.mp4.mp4	30.3 MB
3.1.mp4.mp4	11.4 MB
3.2.mp4.mp4	27.4 MB
3.3.mp4.mp4	7.9 MB
4.1.mp4.mp4	9.3 MB
4.2.mp4.mp4	15.9 MB
5.1.mp4.mp4	7.5 MB
5.2..mp4.mp4	10.8 MB
5.3.mp4.mp4	19.1 MB
6.1.mp4.mp4	4.3 MB
6.2.mp4.mp4	9.1 MB
6.3.mp4.mp4	10.2 MB
6.4.mp4.mp4	6.5 MB
6.5.mp4.mp4	26.3 MB
6.6.mp4.mp4	7.6 MB
7.1.mp4.mp4	2.7 MB
7.2.mp4.mp4	23.0 MB
7.3.mp4.mp4	4.1 MB
7.4.mp4.mp4	9.4 MB
8.1.mp4.mp4	14.4 MB
8.2.mp4.mp4	10.6 MB
8.3.mp4.mp4	12.0 MB
8.4.mp4.mp4	17.4 MB
9.1.mp4.mp4	5.5 MB
9.2.mp4.mp4	3.4 MB
9.3.mp4.mp4	9.7 MB
9.4.mp4.mp4	15.5 MB
9.5.mp4.mp4	12.7 MB
9.6.mp4.mp4	17.2 MB
9.8.mp4.mp4	6.0 MB
9.9..mp4.mp4	5.1 MB
9.11-11-21-19.mp4.mp4	7.5 MB
10.1.mp4.mp4	7.1 MB
10.2.mp4.mp4	6.3 MB
10.3.mp4.mp4	7.3 MB
10.4.mp4.mp4	12.7 MB
10.5.mp4.mp4	14.5 MB
10.6.mp4.mp4	16.1 MB
10.7.mp4.mp4	15.0 MB
11.1.mp4.mp4	7.5 MB
11.2.mp4.mp4	29.4 MB
11.3.mp4.mp4	10.7 MB
11.4.mp4.mp4	5.8 MB
12.1.mp4.mp4	11.5 MB
12.2.mp4.mp4	23.8 MB
12.3.mp4.mp4	2.4 MB
12.4. Balancing the dataset.mp4.mp4	15.6 MB
12.5.mp4.mp4	29.1 MB
12.6.mp4.mp4	7.6 MB
12.7.mp4.mp4	26.2 MB
12.8.mp4.mp4	14.3 MB
12.9.mp4.mp4	14.4 MB
12.10.mp4.mp4	3.8 MB
12.11.mp4.mp4	18.0 MB
/Deep Learning with Tensorflow/
2.1. Introduction to neural networks.mp4.mp4	44.6 MB
2.2. Training the model.mp4.mp4	28.1 MB
2.3. Types of machine learning.mp4.mp4	42.8 MB
2.4. The linear model.mp4.mp4	27.3 MB
2.5. The linear model_multiple inputs.mp4.mp4	24.8 MB
2.6. Linear model_ multiple inputs and multiple outputs.mp4.mp4	44.3 MB
2.7. Graphical representation.mp4.mp4	23.0 MB
2.8. The objective function.mp4.mp4	18.6 MB
2.9. L2-norm loss.mp4.mp4	22.4 MB
2.10. Cross-entropy loss.mp4.mp4	35.0 MB
2.11. One-parameter gradient descent.mp4.mp4	59.1 MB
2.12. N-parameter gradient descent.mp4.mp4	16.4 MB
3.1. Setting up the environment - Do not skip, please!.mp4.mp4	8.3 MB
3.2. Why Python and why Jupyter.mp4.mp4	36.3 MB
3.3. Installing Anaconda.mp4.mp4	38.9 MB
3.4 Jupyter Dashboard - Part 1.mp4.mp4	10.8 MB
3.5 Jupyter Dashboard - Part 2.mp4.mp4	22.0 MB
3.6. Installing the TensorFlow package.mp4.mp4	14.8 MB
4.1. Outline.mp4.mp4	14.6 MB
4.2. Generating the data (optional).mp4.mp4	24.9 MB
4.3. Initializing the variables.mp4.mp4	21.4 MB
4.4. Training the model.mp4.mp4	48.8 MB
5.1. TensorFlow outline.mp4.mp4	46.8 MB
5.2. TensorFlow Intro.mp4.mp4	20.2 MB
5.3. Types of file formats used in TensorFlow.mp4.mp4	13.5 MB
5.4. Laying down the model.mp4.mp4	29.1 MB
5.5. Laying down the optimizers.mp4.mp4	22.5 MB
5.6. Output.mp4.mp4	31.7 MB
6.1. The layer.mp4.mp4	17.2 MB
6.2. What is a deep net.mp4.mp4	34.2 MB
6.3. Really understand deep nets.mp4.mp4	61.0 MB
6.4. Why we need non-linearities.mp4.mp4	39.8 MB
6.5. Activation functions.mp4.mp4	30.6 MB
6.6. Softmax activation.mp4.mp4	26.2 MB
6.7. Backpropagation.mp4.mp4	55.3 MB
6.8. Backpropagation - intuition.mp4.mp4	25.6 MB
8.1. Underfitting and overfitting.mp4.mp4	35.7 MB
8.2. Underfitting and overfitting_classification.mp4.mp4	34.1 MB
8.3. Train vs validation.mp4.mp4	39.3 MB
8.4. Train vs validation vs test.mp4.mp4	32.8 MB
8.5. N-fold cross validation.mp4.mp4	26.8 MB
8.6. Early stopping - motivation and types.mp4.mp4	29.7 MB
9.1. Initializaiton.mp4.mp4	27.4 MB
9.2. Types of simple initializations.mp4.mp4	12.9 MB
9.3. Xavier initialization.mp4.mp4	20.1 MB
10.1. SGD&Batching.mp4.mp4	36.2 MB
10.2. Local minima pitfalls.mp4.mp4	15.0 MB
10.3. Momentum.mp4.mp4	19.9 MB
10.4. Learning rate schedules.mp4.mp4	38.9 MB
10.5. Learning rate schedules. A picture.mp4.mp4	11.5 MB
10.6. Adaptive learning rate schedules.mp4.mp4	31.3 MB
10.7. Adaptive moment estimation.mp4.mp4	30.5 MB
11.1. Preprocessing.mp4.mp4	26.8 MB
11.2. Basic preprocessing.mp4.mp4	11.6 MB
11.3. Standardization.mp4.mp4	42.3 MB
11.4. Dealing with categorical data.mp4.mp4	19.1 MB
11.5. One hot vs binary.mp4.mp4	33.8 MB
12. Machine learning.mp4.mp4	39.8 MB
12.1.mp4.mp4	7.4 MB
12.2. How to tackle the MNIST.mp4.mp4	32.4 MB
12.3. MNIST - Importing libraries and data.mp4.mp4	13.3 MB
12.4. MNIST_Outlining the model.mp4.mp4	47.2 MB
12.5. MNIST - Declaring the loss.mp4.mp4	19.6 MB
12.6. Accuracy of prediction.mp4.mp4	42.2 MB
12.7. Early stopping and batching preparation.mp4.mp4	10.3 MB
12.8. Optimization.mp4.mp4	35.7 MB
12.9. Commenting on the results.mp4.mp4	55.3 MB
13.1. The dataset.mp4.mp4	55.2 MB
13.2. Outlining the solution.mp4.mp4	12.7 MB
13.3. Balancing a dataset.mp4.mp4	47.1 MB
13.4. Preprocessing the data.mp4.mp4	82.6 MB
13.5. Creating the batching class.mp4.mp4	59.4 MB
13.6. Outlining the model.mp4.mp4	48.5 MB
13.7. Optimizing the algorithm.mp4.mp4	28.8 MB
13.8. Running the code.mp4.mp4	20.9 MB
13.9. Test.mp4.mp4	9.3 MB
13.10. Homework.mp4.mp4	60.3 MB
14.1. Summary.mp4.mp4	50.9 MB
14.2. Whats more out there.mp4.mp4	18.4 MB
14.3. An overview of CNNs.mp4.mp4	75.4 MB
14.4. An overview of RNNs.mp4.mp4	28.7 MB
14.5. Non-NN approaches.mp4.mp4	43.9 MB
What does the course cover teachable.mp4.mp4	51.6 MB
/Deep Learning with Tensorflow 2.0/
2.1. Introduction to neural networks.mp4.mp4	44.6 MB
2.2. Training the model.mp4.mp4	28.1 MB
2.3. Types of machine learning.mp4.mp4	42.8 MB
2.4. The linear model.mp4.mp4	27.3 MB
2.5. The linear model_multiple inputs.mp4.mp4	24.8 MB
2.6. Linear model_ multiple inputs and multiple outputs.mp4.mp4	44.3 MB
2.7. Graphical representation.mp4.mp4	23.0 MB
2.8. The objective function.mp4.mp4	18.6 MB
2.9. L2-norm loss.mp4.mp4	22.4 MB
2.10. Cross-entropy loss.mp4.mp4	35.0 MB
2.11. One-parameter gradient descent.mp4.mp4	59.1 MB
2.12. N-parameter gradient descent.mp4.mp4	16.4 MB
3.1.mp4.mp4	2.3 MB
3.2.mp4.mp4	13.7 MB
3.3.mp4.mp4	16.7 MB
3.4.mp4.mp4	4.6 MB
3.5.mp4.mp4	9.9 MB
3.6_new_edited.mp4.mp4	16.4 MB
4.1. Outline.mp4.mp4	14.6 MB
4.2. Generating the data (optional).mp4.mp4	24.9 MB
4.3. Initializing the variables.mp4.mp4	21.4 MB
4.4. Training the model.mp4.mp4	48.8 MB
5.1.mp4.mp4	14.4 MB
5.2.mp4.mp4	11.2 MB
5.3.mp4.mp4	2.7 MB
5.4.mp4.mp4	7.3 MB
5.5.mp4.mp4	16.1 MB
5.6.mp4.mp4	12.2 MB
5.7.mp4.mp4	9.0 MB
6.1. The layer.mp4.mp4	17.2 MB
6.2. What is a deep net.mp4.mp4	34.2 MB
6.3. Really understand deep nets.mp4.mp4	61.0 MB
6.4. Why we need non-linearities.mp4.mp4	39.8 MB
6.5. Activation functions.mp4.mp4	30.6 MB
6.6. Softmax activation.mp4.mp4	26.2 MB
6.7. Backpropagation.mp4.mp4	55.3 MB
6.8. Backpropagation - intuition.mp4.mp4	25.6 MB
8.1. Underfitting and overfitting.mp4.mp4	35.7 MB
8.2. Underfitting and overfitting_classification.mp4.mp4	34.1 MB
8.3. Train vs validation.mp4.mp4	39.3 MB
8.4. Train vs validation vs test.mp4.mp4	32.8 MB
8.5. N-fold cross validation.mp4.mp4	26.8 MB
8.6. Early stopping - motivation and types.mp4.mp4	29.7 MB
9.1. Initializaiton.mp4.mp4	27.4 MB
9.2. Types of simple initializations.mp4.mp4	12.9 MB
9.3. Xavier initialization.mp4.mp4	20.1 MB
10.1. SGD&Batching.mp4.mp4	36.2 MB
10.2. Local minima pitfalls.mp4.mp4	15.0 MB
10.3. Momentum.mp4.mp4	19.9 MB
10.4. Learning rate schedules.mp4.mp4	38.9 MB
10.5. Learning rate schedules. A picture.mp4.mp4	11.5 MB
10.6. Adaptive learning rate schedules.mp4.mp4	31.3 MB
10.7. Adaptive moment estimation.mp4.mp4	30.5 MB
11.1. Preprocessing.mp4.mp4	26.8 MB
11.2. Basic preprocessing.mp4.mp4	11.6 MB
11.3. Standardization.mp4.mp4	42.3 MB
11.4. Dealing with categorical data.mp4.mp4	19.1 MB
11.5. One hot vs binary.mp4.mp4	33.8 MB
12. Machine learning.mp4.mp4	39.8 MB
12.1.mp4.mp4	7.4 MB
12.2.mp4.mp4	11.0 MB
12.3.mp4.mp4	7.3 MB
12.4.mp4.mp4	13.8 MB
12.5.mp4.mp4	18.9 MB
12.6.mp4.mp4	13.3 MB
12.7.mp4.mp4	6.3 MB
12.8.mp4.mp4	18.5 MB
12.9.mp4.mp4	13.0 MB
13.1.mp4.mp4	27.7 MB
13.2.mp4.mp4	4.3 MB
13.3.mp4.mp4	15.5 MB
13.4.mp4.mp4	38.8 MB
13.5.mp4.mp4	8.9 MB
13.6.mp4.mp4	13.8 MB
13.7.mp4.mp4	19.7 MB
13.8.mp4.mp4	4.7 MB
14.1. Summary.mp4.mp4	50.9 MB
14.2. Whats more out there.mp4.mp4	18.4 MB
14.3. An overview of CNNs.mp4.mp4	75.4 MB
14.4. An overview of RNNs.mp4.mp4	28.7 MB
14.5. Non-NN approaches.mp4.mp4	43.9 MB
What does the course cover teachable.mp4.mp4	51.6 MB
/Git and Github/
2. Configuring Git.mp4.mp4	16.0 MB
3. Basic Commands.mp4.mp4	13.1 MB
4. Exploring Git log.mp4.mp4	16.2 MB
5. Git diff.mp4.mp4	4.3 MB
6. Head.mp4.mp4	12.9 MB
7. Making Corrections - Git resent.mp4.mp4	21.0 MB
8. Branching.mp4.mp4	14.3 MB
9. GitHub.mp4.mp4	12.9 MB
10. Git Clone.mp4.mp4	9.4 MB
11. Conclusion.mp4.mp4	66.1 MB
GitHub_Intro.mp4.mp4	127.4 MB
Installing Git.mp4.mp4	8.3 MB
/Intro to Data Science/
0f40de676dd744bf3ba4afbecf66d91ceaa16b04.mp4	67.8 MB
2e1e98f6e626f557213a26c442bb7b5ab5efc17a.mp4	114.3 MB
3fff2c3d83d9b2bf70655a6aba82d2ca0266b134.mp4	35.7 MB
4b9181f17764e8ac6c7dbce6842f11c329f97acd.mp4	20.7 MB
7e80128460334e7c6329229c609eaa4c1b595096.mp4	72.0 MB
8c01f2c89127fcc8dd5d497380f9de362f1ac25d.mp4	61.3 MB
8e829a1c0dbdd55e103fd312c32a5bf2f5ccf30d.mp4	51.6 MB
9a6ded93c5521132af977a7ae5ee08dd154213c9.mp4	36.3 MB
34dc74fa42f045e6e73675312d36b875.mp4	93.2 MB
365 Data Science (2020-03-24 17_08_28).html	407.8 KB
365-DataScience.png	2.7 MB
2474b6bd3c353048fd460978990537fc3921bd63.mp4	109.3 MB
04476dc278b260d82f13dfc5d823840df4754103.mp4	42.4 MB
100961bb8d68153c30b29ba8a942d165b1cd420b.mp4	82.7 MB
a2ccc76404685b6871a7d11c600c73970a31c40a.mp4	52.3 MB
a59cfe212e1b136a097411822d32b882e75f2810.mp4	45.3 MB
a9378cbf80957439da6db862619eefb40e8414bc.mp4	45.8 MB
bb1da58986f638ce50087012bffc97f070e2e571.mp4	91.6 MB
c6b31f940205f63ebb262b7e098da3090ef541cf.mp4	45.1 MB
cdb0f589e5210f28eba7820411c7ad00f1f19108.mp4	71.4 MB
d04a26cdadd9e0518945d97d49b4a62e2fbe07af.mp4	20.5 MB
d5333639ca21cab028ca39bea4b22ed61f60f14d.mp4	137.4 MB
dc3f7f143ce5bcf78251540a8a100ecfb4d6fa7b.mp4	16.2 MB
fb6c90bf971df6ecd60ef4f0f94b1e33e8ee407a.mp4	59.5 MB
/Intro to Microsoft Excel/
1. Sum Functions.mp4.mp4	10.9 MB
2. count.mp4.mp4	9.6 MB
15. Tell me what you want to do.mov.mp4	3.5 MB
16. Pivot Tables.mp4.mp4	9.3 MB
17. Formatting.mp4.mp4	4.1 MB
18. Macros.mp4.mp4	6.9 MB
19. RE-use macros.mp4.mp4	3.7 MB
20. Fast scroll.mp4.mp4	9.4 MB
21. F5 and Enter.mp4.mp4	7.6 MB
22. Fixing References.mp4.mp4	8.3 MB
23. Select special.mp4.mp4	4.5 MB
24. Dynamic names.mp4.mp4	4.9 MB
25. Naming ranges.mp4.mp4	3.6 MB
26. Custom formatting.mp4.mp4	3.7 MB
27. Data Validation.mp4.mp4	5.4 MB
28. Custom sort.mp4.mp4	3.9 MB
29. Shortcuts.mp4.mp4	17.2 MB
30. Multiply by 1.mp4.mp4	5.4 MB
31. Find and replace.mp4.mp4	7.8 MB
32. Replace formats.mp4.mp4	4.7 MB
33. Green references.mp4.mp4	4.3 MB
34 Beauty saving.mp4.mp4	5.4 MB
35. F2.mp4.mp4	6.4 MB
36. Conditional formatting.mp4.mp4	20.0 MB
37. If.mp4.mp4	8.1 MB
38. Enlarge the formula bar.mp4.mp4	3.0 MB
41. Average.mp4.mp4	5.9 MB
42. Text function.mp4.mp4	14.4 MB
43. Working with text.mp4.mp4	7.3 MB
44. Max and Min.mp4.mp4	3.5 MB
45 show that equeals and plus are the same.mp4.mp4	2.9 MB
46. Round.mp4.mp4	2.7 MB
47 Lookup.mp4.mp4	29.8 MB
48. Index and match.mp4.mp4	29.6 MB
49. iferror.mp4.mp4	5.7 MB
50. Rank.mp4.mp4	11.5 MB
51. Choose.mp4.mp4	10.0 MB
52. Goal seek.mp4.mp4	8.5 MB
53. Data Tables.mp4.mp4	11.3 MB
58. Intro.mp4.mp4	3.0 MB
59. What you will see next.mp4.mp4	4.4 MB
60 Data sourse.mp4.mp4	14.4 MB
61.mp4.mp4	15.0 MB
62. create a code.mp4.mp4	14.1 MB
63.mp4.mp4	11.9 MB
64. Vlook up.mp4.mp4	34.8 MB
65 Sumif.mp4.mp4	28.2 MB
66 Index match.mp4.mp4	28.8 MB
67. Mapping.mp4.mp4	21.3 MB
68 Mapping exercise.mp4.mp4	11.8 MB
69. Building Pl.mp4.mp4	10.6 MB
70. Formating a PL.mp4.mp4	12.8 MB
71 Fill in the PL.mp4.mp4	16.3 MB
72 Countif.mp4.mp4	16.6 MB
73. percentage variations.mp4.mp4	15.0 MB
74. Charts.mp4.mp4	3.2 MB
75. inserting charts.mp4.mp4	9.6 MB
76. formatting.mp4.mp4	11.6 MB
77 Modifying.mp4.mp4	14.4 MB
78. bridge chart.mp4.mp4	5.5 MB
79. Treemap.mp4.mp4	4.3 MB
80.Sparklines.mp4.mp4	10.6 MB
82. Column stacked chart.mp4.mp4	22.6 MB
83. Doughnut chart.mp4.mp4	18.9 MB
84. Area and line chart.mp4.mp4	14.1 MB
85. Bridge.mp4.mp4	25.7 MB
86. Introduction.mp4.mp4	5.0 MB
87. the finance.mp4.mp4	17.9 MB
88.mp4.mp4	9.5 MB
89. Adjusting pivot tables.mp4.mp4	21.9 MB
90. GetPivotData.mp4.mp4	16.4 MB
91. Slicers.mp4.mp4	20.4 MB
94. Introduction.mp4.mp4	8.6 MB
95. SAP Data.mp4.mp4	20.4 MB
96. Mapping.mp4.mp4	18.4 MB
97. Structure.mp4.mp4	11.0 MB
98. Layout.mp4.mp4	11.9 MB
99..mp4.mp4	7.2 MB
100. the finance.mp4.mp4	11.5 MB
101. GetPivotData.mp4.mp4	30.0 MB
104. formatting slicers.mp4.mp4	15.7 MB
105. playing with slicers.mp4.mp4	18.2 MB
193. inserting slisers.mp4.mp4	16.5 MB
365 Data Science (2020-03-24 17_23_41).html	481.8 KB
/.../1.Getting to know Excel/
1. Getting to know Excel_365ds.mp4.mp4	7.9 MB
1. Introduction to Excel.pdf	2.4 MB
1. Overview-of-Excel-Exercise-Solved.xlsx	11.1 KB
1. Overview-of-Excel-Exercise-Unsolved.xlsx	10.7 KB
/.../2. Data Entry Techniques in Excel/
2. Data entry - 365ds.mp4.mp4	6.7 MB
2. Data-Entry - Lecture.xlsx	8.3 KB
2. Data-Entry- Exercise -Solved.xlsx	33.5 KB
2. Data-Entry-Exercise - Unsolved.xlsx	11.2 KB
/3. Formatting/
3. Formatting - 365ds.mp4.mp4	14.6 MB
3. Formatting - Lecture - Solved.xlsx	10.1 KB
3. Formatting- Exercise - Solved.xlsx	11.9 KB
3. Formatting- Lecture - Unsolved.xlsx	9.1 KB
3. Formatting-Exercise - Unsolved.xlsx	11.9 KB
/.../4. Inserting, Deleting, and Modifying Rows & Columns/
4. Basic-Manipulations - Exercise - Solved.xlsx	33.2 KB
4. Basic-Manipulations - Exercise - Unsolved.xlsx	11.3 KB
4. Data Entry - Lecture.xlsx	8.3 KB
4. Rows and columns - 365ds.mp4.mp4	4.2 MB
/.../5. Excel Formulas for Beginners/
5. Formulas - Exercise - Unsolved.xlsx	12.0 KB
5. Formulas -365ds.mp4.mp4	5.9 MB
5. Formulas- Exercise - Solved.xlsx	82.1 KB
5. Formulas- Lecture - Solved.xlsx	9.6 KB
5. Formulas- Lecture - Unsolved.xlsx	9.5 KB
/6. Excel Functions/
6. Functions - Lecture -Solved.xlsx	9.6 KB
6. Functions with 365 ds.mp4.mp4	8.2 MB
6. Functions- Exercise - Solved.xlsx	83.0 KB
6. Functions- Lecture - Unsolved.xlsx	9.5 KB
6. Functions-Exercise - Unsolved.xlsx	13.6 KB
Introduction-to-Excels-basic-features.pdf	2.4 MB
/.../7. Work Efficiently by Using Cut, Copy, and Paste/
7. Copy-Cut-Paste-Exercise - Solved.xlsx	12.9 KB
7. Copy-Cut-Paste-Exercise - Unsolved.xlsx	11.6 KB
7. Cut, copy, paste.mp4.mp4	5.3 MB
/.../8. Pasting Values, Formulas and Formats with Paste Special/
8. paste special.mp4.mp4	3.5 MB
8. Paste-Special-Exercise - Solved.xlsx	13.8 KB
8. Paste-Special-Exercise - Unsolved.xlsx	13.8 KB
/.../9. Inserting a Line Break with Alt - Enter/
9. alt enter.mp4.mp4	1.7 MB
9. Alt-Enter- Lecture - Solved.xlsx	9.9 KB
9. Alt-Enter- Lecture - Unsolved.xlsx	9.9 KB
9. Alt-Enter-Exercise - Solved.xlsx	11.7 KB
9. Alt-Enter-Exercise - Unsolved.xlsx	11.4 KB
/.../10. Do More with Your Sales Data with Excel's Text to Columns Feature/
10. text to colums.mp4.mp4	4.9 MB
10. Text-to-Columns-Exercise - Solved.xlsx	11.6 KB
10. Text-to-Columns-Exercise - Unsolved.xlsx	10.8 KB
10. Text-to-columns-Lecture - Solved.xlsx	10.1 KB
10. Text-to-columns-Lecture - Unsolved.xlsx	10.0 KB
Useful-Tips-Tools.pdf	3.5 MB
/.../11. Create Easily Printable Excel Documents/
11. set print area.mp4.mp4	2.8 MB
11. Set-Print-Area-Lecture - Solved.xlsx	11.5 KB
11. Set-Print-Area-Lecture - Unsolved.xlsx	11.7 KB
/.../12. How to Wrap Text in Excel and Adjust a Cell's Size/
12. Wrap text.mp4.mp4	1.6 MB
12. Wrap-Text-Exercise - Solved.xlsx	10.4 KB
12. Wrap-Text-Exercise - Unsolved.xlsx	10.4 KB
12. Wrap-text-Lecture - Solved.xlsx	9.8 KB
12. Wrap-text-Lecture - Unsolved.xlsx	9.8 KB
/.../13. Insert Hyperlinks into Excel Spreadsheets/
13. Hyperlinks .mp4.mp4	2.8 MB
13. Hyperlinks-Exercise - Solved.xlsx	140.4 KB
13. Hyperlinks-Exercise - Unsolved.xlsx	140.2 KB
/.../14. Using Excel's Freeze Panes to Handle Large Datasets/
14. Freeze panes - 365ds.mp4.mp4	6.7 MB
/Introducction to R Programming/
2.1 R for Statistics and Data Science - Downloading and installing R and RStudio.mp4.mp4	29.3 MB
2.2 R for Statistics and Data Science - Quick guide to the RStudio user interface.mp4.mp4	44.8 MB
2.3 R for Statistics and Data Science - Changing the appearance of RStudio.mp4.mp4	13.1 MB
2.4 R for Statistics and Data Science - Installing packages and using the library.mp4.mp4	58.9 MB
3.1 R for Statistics and Data Science - Creating an object in R.mp4.mp4	31.3 MB
3.2 R for Statistics and Data Science - Data types in R (Integers and doubles).mp4.mp4	28.0 MB
3.3 R for Statistics and Data Science - Data types in R (Characters and logicals).mp4.mp4	21.6 MB
3.4 R for Statistics and Data Science - Coercion rules in R.mp4.mp4	19.0 MB
3.5 R for Statistics and Data Science - Functions in R.mp4.mp4	20.5 MB
3.6 R for Statistics and Data Science - Functions and arguments.mp4.mp4	14.6 MB
3.7 R for Statistics and Data Science - Building a function in R.mp4.mp4	52.6 MB
3.8 R for Statistics and Data Science - Using the script vs. using the console.mp4.mp4	19.7 MB
4.1 R for Statistics and Data Science - Introduction to vectors.mp4.mp4	23.9 MB
4.2 R for Statistics and Data Science - Vector recycling.mp4.mp4	10.0 MB
4.3 R for Statistics and Data Science - Naming a vector.mp4.mp4	19.3 MB
4.4 R for Statistics and Data Science - Getting help with R.mp4.mp4	51.9 MB
4.5 R for Statistics and Data Science - Slicing and indexing a vector.mp4.mp4	42.1 MB
4.6 R for Statistics and Data Science - Changing the dimensions of an object in R.mp4.mp4	30.6 MB
5.1 R for Statistics and Data Science - Creating a matrix.mp4.mp4	39.8 MB
5.2 R for Statistics and Data Science - Faster code - creating a matrix in a single line of code.mp4.mp4	18.9 MB
5.3 R for Statistics and Data Science - Do matrices recycle.mp4.mp4	11.1 MB
5.4 R for Statistics and Data Science - Indexing an element from a matrix.mp4.mp4	31.7 MB
5.5 R for Statistics and Data Science - Slicing a matrix.mp4.mp4	24.5 MB
5.6 R for Statistics and Data Science - Matrix arithmetic.mp4.mp4	49.3 MB
5.7 R for Statistics and Data Science - Matrix operations.mp4.mp4	34.7 MB
5.8_edited.mp4.mp4	9.8 MB
5.9 R for Statistics and Data Science - Creating a factor in R.mp4.mp4	44.2 MB
5.10 Lists in R.mp4.mp4	15.1 MB
6.1 R for Statistics and Data Science - Creating a data frame.mp4.mp4	39.7 MB
6.1.1 Relational operators in R.mp4.mp4	11.1 MB
6.1.2 Logical operators in R.mp4.mp4	7.6 MB
6.1.3 Logical operators and vectors.mp4.mp4	5.6 MB
6.2 R for Statistics and Data Science - The Tidyverse package.mp4.mp4	29.3 MB
6.2.1 If else else-if statements.mp4.mp4	15.2 MB
6.2.2 If else else-if keep-in-minds's.mp4.mp4	9.8 MB
6.3 For loops in R.mp4.mp4	17.1 MB
6.3.1 R for Statistics and Data Science - Data import into R.mp4.mp4	21.7 MB
6.3.2 R for Statistics and Data Science - Importing a CSV into R.mp4.mp4	28.4 MB
6.3.3 R for Statistics and Data Science - Data export in R.mp4.mp4	20.7 MB
6.4 While loops in R.mp4.mp4	11.6 MB
6.4.1 R for Statistics and Data Science - Getting a sense of your data frame.mp4.mp4	28.7 MB
6.4.2 R for Statistics and Data Science - Indexing and slicing a data frame in R.mp4.mp4	34.0 MB
6.5 R for Statistics and Data Science - Extending a data frame in R.mp4.mp4	35.3 MB
6.5 Repeat loops in R.mp4.mp4	9.6 MB
6.6 R for Statistics and Data Science - Dealing with missing data.mp4.mp4	35.3 MB
6.6.1 Building a function in R 2.0.mp4.mp4	11.5 MB
6.6.2 Building a function in R 2.0 Scoping.mp4.mp4	15.3 MB
7. R.mp4.mp4	19.2 MB
7.1 R for Statistics and Data Science - Data transformation with R - the Dplyr package - Part I.mp4.mp4	39.5 MB
7.2 R for Statistics and Data Science - Data transformation with R - the Dplyr package - Part II.mp4.mp4	25.0 MB
7.3 R for Statistics and Data Science - Sampling data with the Dplyr package.mp4.mp4	12.9 MB
7.4 R for Statistics and Data Science - Using the pipe operator.mp4.mp4	25.2 MB
7.5 R for Statistics and Data Science - Tidying your data - gather() and separate().mp4.mp4	66.4 MB
7.6 R for Statistics and Data Science - Tidying your data - unite() and spread().mp4.mp4	20.0 MB
8.1 R for Statistics and Data Science - Intro to data visualisation.mp4.mp4	21.2 MB
8.2 R for Statistics and Data Science - Intro to ggplot2.mp4.mp4	51.9 MB
8.3 R for Statistics and Data Science - Variables revisited.mp4.mp4	30.2 MB
8.4 R for Statistics and Programming - Building a histogram with ggplot2.mp4.mp4	52.2 MB
8.5 R for Statistics and Data Science - Building a bar chart with ggplot2.mp4.mp4	41.0 MB
8.6 R for Statistics and Data Science - Building a box and whiskers plot with ggplot2.mp4.mp4	43.4 MB
8.7 R for Statistics and Data Science - Building a scatterplot with ggplot2.mp4.mp4	69.1 MB
9.1 R for Statistics and Data Science - Population vs Sample.mp4.mp4	22.5 MB
9.2 R forStatistics and Data Science - Mean, median, mode.mp4.mp4	34.5 MB
9.3 R for Statistics and Data Science - Skewness.mp4.mp4	25.1 MB
9.4 R for Statistics and Data Science - Variance, standard deviation, and coefficient of variability.mp4.mp4	35.4 MB
9.5 R for Statistics and Data Science - Covariance and correlation.mp4.mp4	46.7 MB
11.1 Distributions.mp4.mp4	27.3 MB
11.2 Standard Error and Confidence Intervals.mp4.mp4	20.2 MB
11.3 Hypothesis Testing.mp4.mp4	20.0 MB
11.4 Type I and Type II errors.mp4.mp4	10.1 MB
11.5 Test for the mean. Population variance known.mp4.mp4	19.2 MB
11.6 The P-value.mp4.mp4	16.1 MB
11.7 Test for the mean. Population variance unknown.mp4.mp4	16.8 MB
11.8 Dependent samples_edited.mp4.mp4	17.1 MB
11.9 Comparing two means. Independent samples.mp4.mp4	15.0 MB
12.1 The Linear Regression Model.mp4.mp4	16.7 MB
12.2 Correlation vs Regression.mp4.mp4	4.8 MB
12.3 Geometrical Representation.mp4.mp4	3.5 MB
12.4 Doing the Regression in R.mp4.mp4	11.7 MB
12.5 How to interpret the regression table.mp4.mp4	14.7 MB
12.6 Decomposition of variability.mp4.mp4	10.9 MB
R for Statistics and Data Science - Intro 7.0.mp4.mp4	110.8 MB
R for Statistics and Data Science - Intro 8.0.mp4.mp4	76.4 MB
R for Statistics and Data Science - R Squared.mp4.mp4	13.0 MB
R Programming for Statistics and Data Science - Intro 2.0.mp4.mp4	78.6 MB
R Programming for Statistics and Data Science - Intro 4.0.mp4.mp4	92.3 MB
/Introduction to Python/
1. Introduction to Python.mp4	42.6 MB
2. Programming Explained in 5 Minutes.mp4.mp4	28.2 MB
2. Python Introduction - Course Notes.pdf	2.0 MB
3. Why Python.mp4.mp4	28.1 MB
4. Why Jupyter.mp4.mp4	16.0 MB
5. Installing Python and Jupyter.mp4.mp4	19.3 MB
6. Jupyter's Interface - The Dashboard.mp4.mp4	7.1 MB
7. Jupyter's Interface - Prerequisites for Coding.mp4.mp4	15.1 MB
8. Python 2 vs Python 3.mp4.mp4	5.1 MB
9. Variables.mp4.mp4	9.6 MB
10. Numbers and Boolean Values.mp4.mp4	8.0 MB
11. Strings.mp4.mp4	23.3 MB
12. Arithmetic Operators.mp4.mp4	9.3 MB
13. The Double Equality Sign.mp4.mp4	3.3 MB
14. Reassign Values.mp4.mp4	2.1 MB
15. Add Comments.mp4.mp4	5.7 MB
16. Line Continuation.mp4.mp4	1.4 MB
17. Indexing Elements.mp4.mp4	3.1 MB
18. Structure Your Code with Indentation.mp4.mp4	6.6 MB
19. Comparison Operators.mp4.mp4	5.0 MB
20. Logical and Identity Operators.mp4.mp4	15.2 MB
21. Introduction to the If Statement.mp4.mp4	11.6 MB
22. Add an Else Statement.mp4.mp4	10.9 MB
23. Else if, for Brief - Elif.mp4.mp4	23.7 MB
24. A Note on Boolean Values.mp4.mp4	9.0 MB
25. Defining a Function in Python.mp4.mp4	7.6 MB
26. Creating a Function with a Parameter.mp4.mp4	16.9 MB
27. Anotoher Way to Define a Function.mp4.mp4	11.3 MB
28. Using a Function in Another Function.mp4.mp4	3.9 MB
29. Combining Conditional Statements and Functions.mp4.mp4	8.0 MB
30. Creating Functions Containing a Few Arguments.mp4.mp4	6.7 MB
31. Notable Built-In Functions in Python.mp4.mp4	10.4 MB
32. Lists.mp4.mp4	16.5 MB
33. Help Yourself with Methods.mp4.mp4	15.8 MB
34. List Slicing.mp4.mp4	14.4 MB
35.Tuples.mp4.mp4	13.1 MB
36.Dictionaries.mp4.mp4	19.5 MB
37. For Loops.mp4.mp4	10.8 MB
38. While Loops and Incrementing.mp4.mp4	14.8 MB
39. Create Lists with the range() Function.mp4.mp4	12.2 MB
40. Use Conditional Statements and Loops Together.mp4.mp4	12.9 MB
41. All In - Conditional Statements, Functions, and Loops.mp4.mp4	5.1 MB
42. Iterating over Dictionaries.mp4.mp4	13.3 MB
Jupyter_Shortcuts.pdf	603.7 KB
/9. Variables/
Variables - Exercise_Py2.ipynb	2.3 KB
Variables - Exercise_Py3.ipynb	2.3 KB
Variables - Lecture_Py2.ipynb	3.8 KB
Variables - Lecture_Py3.ipynb	3.7 KB
Variables - Solution_Py2.ipynb	4.0 KB
Variables - Solution_Py3.ipynb	3.9 KB
/.../10. Numbers and Boolean Values/
Numbers and Boolean Values - Exercise_Py2.ipynb	2.3 KB
Numbers and Boolean Values - Exercise_Py3.ipynb	2.3 KB
Numbers and Boolean Values - Lecture_Py2.ipynb	3.5 KB
Numbers and Boolean Values - Lecture_Py3.ipynb	3.4 KB
Numbers and Boolean Values - Solution_Py2.ipynb	3.4 KB
Numbers and Boolean Values - Solution_Py3.ipynb	3.3 KB
/11. Strings/
Strings - Exercise_Py2.ipynb	3.3 KB
Strings - Exercise_Py3.ipynb	2.7 KB
Strings - Lecture_Py2.ipynb	7.7 KB
Strings - Lecture_Py3.ipynb	7.7 KB
Strings - Solution_Py2.ipynb	6.0 KB
Strings - Solution_Py3.ipynb	5.6 KB
/.../12. Arithmetic Operators/
Arithmetic Operators - Exercise_Py3.ipynb	2.7 KB
Arithmetic Operators - Lecture_Py2.ipynb	3.6 KB
Arithmetic Operators - Lecture_Py3.ipynb	3.6 KB
Arithmetic Operators - Solution_Py2.ipynb	4.3 KB
Arithmetic Operators - Solution_Py3.ipynb	4.3 KB
/.../13. The Double Equality Sign/
The Double Equality Sign - Exercise_Py2.ipynb	0.8 KB
The Double Equality Sign - Exercise_Py3.ipynb	0.8 KB
The Double Equality Sign - Lecture_Py2.ipynb	1.5 KB
The Double Equality Sign - Lecture_Py3.ipynb	1.5 KB
The Double Equality Sign - Solution_Py2.ipynb	1.2 KB
The Double Equality Sign - Solution_Py3.ipynb	1.2 KB
/.../14. Reassign Values/
Reassign Values - Exercise_Py2.ipynb	1.7 KB
Reassign Values - Exercise_Py3.ipynb	1.7 KB
Reassign Values - Lecture_Py2.ipynb	3.2 KB
Reassign Values - Lecture_Py3.ipynb	3.2 KB
Reassign Values - Solution_Py2.ipynb	2.2 KB
Reassign Values - Solution_Py3.ipynb	2.2 KB
/.../15. Add Comments/
Add Comments - Lecture_Py2.ipynb	1.1 KB
Add Comments - Lecture_Py3.ipynb	1.1 KB
/.../16. Line Continuation/
Line Continuation - Exercise_Py2.ipynb	1.2 KB
Line Continuation - Exercise_Py3.ipynb	1.2 KB
Line Continuation - Lecture_Py2.ipynb	0.8 KB
Line Continuation - Lecture_Py3.ipynb	0.8 KB
Line Continuation - Solution_Py2.ipynb	1.5 KB
Line Continuation - Solution_Py3.ipynb	1.5 KB
/.../17. Indexing Elements/
Indexing Elements - Exercise_Py2.ipynb	1.4 KB
Indexing Elements - Exercise_Py3.ipynb	1.4 KB
Indexing Elements - Lecture_Py2.ipynb	1.4 KB
Indexing Elements - Lecture_Py3.ipynb	1.3 KB
Indexing Elements - Solution_Py2.ipynb	2.2 KB
Indexing Elements - Solution_Py3.ipynb	2.2 KB
/.../18. Structure your code with Indentation/
Structure Your Code with Indentation - Exercise_Py2.ipynb	1.0 KB
Structure Your Code with Indentation - Exercise_Py3.ipynb	1.0 KB
Structure Your Code with Indentation - Lecture_Py2.ipynb	1.0 KB
Structure Your Code with Indentation - Lecture_Py3.ipynb	1.0 KB
Structure Your Code with Indentation - Solution_Py2.ipynb	1.6 KB
Structure Your Code with Indentation - Solution_Py3.ipynb	1.5 KB
/.../19. Comparison Operators/
Comparison Operators - Exercise_Py2.ipynb	1.7 KB
Comparison Operators - Exercise_Py3.ipynb	1.6 KB
Comparison Operators - Lecture_Py2.ipynb	2.6 KB
Comparison Operators - Lecture_Py3.ipynb	2.6 KB
Comparison Operators - Solution_Py2.ipynb	2.5 KB
Comparison Operators - Solution_Py3.ipynb	2.5 KB
/.../20. Logical and Identity Operators/
Logical and Identity Operators - Exercise_Py2.ipynb	2.5 KB
Logical and Identity Operators - Exercise_Py3.ipynb	2.5 KB
Logical and Identity Operators - Lecture_Py2.ipynb	6.0 KB
Logical and Identity Operators - Lecture_Py3.ipynb	6.0 KB
Logical and Identity Operators - Solution_Py2.ipynb	3.5 KB
Logical and Identity Operators - Solution_Py3.ipynb	3.5 KB
/.../21. Introduction to the IF statement/
Introduction to the If Statement - Exercise_Py2.ipynb	1.6 KB
Introduction to the If Statement - Exercise_Py3.ipynb	1.6 KB
Introduction to the If Statement - Lecture_Py2.ipynb	1.2 KB
Introduction to the If Statement - Lecture_Py3.ipynb	1.2 KB
Introduction to the If Statement - Solution_Py2.ipynb	2.2 KB
/.../22. Add an ELSE statement/
Add an Else Statement - Exercise_Py2.ipynb	1.0 KB
Add an Else Statement - Exercise_Py3.ipynb	1.0 KB
Add an Else Statement - Lecture_Py2.ipynb	1.8 KB
Add an Else Statement - Lecture_Py3.ipynb	1.8 KB
Add an Else Statement - Solution_Py2.ipynb	1.4 KB
Add an Else Statement - Solution_Py3.ipynb	1.4 KB
/.../23. Else If for brief, Elif/
Else If, for Brief - Elif - Exercise_Py2.ipynb	1.8 KB
Else If, for Brief - Elif - Exercise_Py3.ipynb	1.8 KB
Else If, for Brief - Elif - Lecture_Py2.ipynb	3.4 KB
Else If, for Brief - Elif - Lecture_Py3.ipynb	3.3 KB
Else If, for Brief - Elif - Solution_Py2.ipynb	2.5 KB
Else If, for Brief - Elif - Solution_Py3.ipynb	2.5 KB
/.../24. A note on Boolean Values/
A Note on Boolean Values - Lecture_Py2.ipynb	0.8 KB
A Note on Boolean Values - Lecture_Py3.ipynb	0.8 KB
/.../25. Defining a Function in Python/
Defining a Function in Python - Lecture_Py2.ipynb	0.9 KB
Defining a Function in Python - Lecture_Py3.ipynb	0.9 KB
/.../26. Creating a Function with a Parameter/
Creating a Function with a Parameter - Exercise_Py2.ipynb	1.2 KB
Creating a Function with a Parameter - Exercise_Py3.ipynb	1.2 KB
Creating a Function with a Parameter - Lecture_Py2.ipynb	1.7 KB
Creating a Function with a Parameter - Lecture_Py3.ipynb	1.6 KB
Creating a Function with a Parameter - Solution_Py2.ipynb	1.9 KB
Creating a Function with a Parameter - Solution_Py3.ipynb	1.8 KB
/.../27. Another way to define a Function/
Another Way to Define a Function - Exercise_Py2.ipynb	1.3 KB
Another Way to Define a Function - Exercise_Py3.ipynb	1.3 KB
Another Way to Define a Function - Lecture_Py2.ipynb	3.5 KB
Another Way to Define a Function - Lecture_Py3.ipynb	3.4 KB
Another Way to Define a Function - Solution_Py2.ipynb	2.0 KB
Another Way to Define a Function - Solution_Py3.ipynb	2.0 KB
/.../28. Using a Function in another Function/
0.6.4 Using a Function in another Function - Exercise_Py2.ipynb	1.1 KB
0.6.4 Using a Function in another Function - Exercise_Py3.ipynb	1.1 KB
0.6.4 Using a Function in another Function - Lecture_Py2.ipynb	1.0 KB
0.6.4 Using a Function in another Function - Lecture_Py3.ipynb	1.0 KB
0.6.4 Using a Function in another Function - Solution_Py2.ipynb	1.7 KB
0.6.4 Using a Function in another Function - Solution_Py3.ipynb	1.6 KB
/.../29. Combining Conditional Statements and Functions/
Combining Conditional Statements and Functions - Exercise_Py2.ipynb	1.1 KB
Combining Conditional Statements and Functions - Exercise_Py3.ipynb	1.1 KB
Combining Conditional Statements and Functions - Lecture_Py2.ipynb	1.4 KB
Combining Conditional Statements and Functions - Lecture_Py3.ipynb	1.3 KB
Combining Conditional Statements and Functions - Solution_Py2.ipynb	1.7 KB
Combining Conditional Statements and Functions - Solution_Py3.ipynb	1.7 KB
/.../30. Creating Functions Containing a Few Arguments/
Creating Functions Containing a Few Arguments - Lecture_Py2.ipynb	1.8 KB
Creating Functions Containing a Few Arguments - Lecture_Py3.ipynb	1.8 KB
/.../31. Notable Built-In Functions in Python/
Notable Built-In Functions in Python - Exercise_Py2.ipynb	3.8 KB
Notable Built-In Functions in Python - Exercise_Py3.ipynb	3.7 KB
Notable Built-In Functions in Python - Lecture_Py2.ipynb	4.6 KB
Notable Built-In Functions in Python - Lecture_Py3.ipynb	4.6 KB
Notable Built-In Functions in Python - Solution_Py2.ipynb	5.7 KB
Notable Built-In Functions in Python - Solution_Py3.ipynb	5.7 KB
/32. Lists/
Lists - Exercise_Py2.ipynb	2.2 KB
Lists - Exercise_Py3.ipynb	2.2 KB
Lists - Lecture_Py2.ipynb	2.8 KB
Lists - Lecture_Py3.ipynb	2.8 KB
Lists - Solution_Py2.ipynb	3.3 KB
Lists - Solution_Py3.ipynb	3.3 KB
/.../33. Help Yourself with Methods/
Help Yourself with Methods - Exercise_Py2.ipynb	2.0 KB
Help Yourself with Methods - Exercise_Py3.ipynb	2.0 KB
Help Yourself with Methods - Lecture_Py2.ipynb	4.5 KB
Help Yourself with Methods - Lecture_Py3.ipynb	4.5 KB
Help Yourself with Methods - Solution_Py2.ipynb	2.9 KB
Help Yourself with Methods - Solution_Py3.ipynb	2.9 KB
/.../34. List Slicing/
List Slicing - Exercise_Py2.ipynb	2.9 KB
List Slicing - Exercise_Py3.ipynb	2.9 KB
List Slicing - Lecture_Py2.ipynb	5.2 KB
List Slicing - Lecture_Py3.ipynb	5.1 KB
List Slicing - Solution_Py2.ipynb	4.4 KB
List Slicing - Solution_Py3.ipynb	4.4 KB
/35. Tuples/
Tuples - Exercise_Py2.ipynb	2.1 KB
Tuples - Exercise_Py3.ipynb	2.1 KB
Tuples - Lecture_Py2.ipynb	3.0 KB
Tuples - Lecture_Py3.ipynb	3.0 KB
Tuples - Solution_Py2.ipynb	4.6 KB
Tuples - Solution_Py3.ipynb	4.7 KB
/36. Dictionaries/
Dictionaries - Exercise_Py2.ipynb	3.0 KB
Dictionaries - Exercise_Py3.ipynb	3.0 KB
Dictionaries - Lecture_Py2.ipynb	4.5 KB
Dictionaries - Lecture_Py3.ipynb	4.5 KB
Dictionaries - Solution_Py2.ipynb	6.3 KB
Dictionaries - Solution_Py3.ipynb	6.3 KB
/.../37. For Loops/
For Loops - Exercise_Py2.ipynb	1.3 KB
For Loops - Exercise_Py3.ipynb	1.3 KB
For Loops - Lecture_Py2.ipynb	1.3 KB
For Loops - Lecture_Py3.ipynb	1.3 KB
For Loops - Solution_Py2.ipynb	1.9 KB
For Loops - Solution_Py3.ipynb	1.8 KB
/.../38. While Loops and Incrementing/
While Loops and Incrementing - Exercise_Py2.ipynb	1.2 KB
While Loops and Incrementing - Exercise_Py3.ipynb	1.1 KB
While Loops and Incrementing - Lecture_Py2.ipynb	1.1 KB
While Loops and Incrementing - Lecture_Py3.ipynb	1.1 KB
While Loops and Incrementing - Solution_Py2.ipynb	1.8 KB
While Loops and Incrementing - Solution_Py3.ipynb	1.8 KB
/.../39. Create Lists with the range() Function/
Create Lists with the range() Function - Exercise_Py2.ipynb	1.5 KB
Create Lists with the range() Function - Exercise_Py3.ipynb	1.5 KB
Create Lists with the range() Function - Lecture_Py2.ipynb	1.4 KB
Create Lists with the range() Function - Lecture_Py3.ipynb	1.4 KB
Create Lists with the range() Function - Solution_Py2.ipynb	2.3 KB
Create Lists with the range() Function - Solution_Py3.ipynb	2.3 KB
/.../40. Use Conditional Statements and Loops Together/
Use Conditional Statements and Loops Together - Exercise_Py2.ipynb	2.2 KB
Use Conditional Statements and Loops Together - Exercise_Py3.ipynb	2.1 KB
Use Conditional Statements and Loops Together - Lecture_Py2.ipynb	2.0 KB
Use Conditional Statements and Loops Together - Lecture_Py3.ipynb	2.1 KB
Use Conditional Statements and Loops Together - Solution_Py2.ipynb	3.2 KB
Use Conditional Statements and Loops Together - Solution_Py3.ipynb	3.0 KB
/.../41. All In/
All In - Exercise_Py2.ipynb	1.3 KB
All In - Exercise_Py3.ipynb	1.3 KB
All In - Lecture_Py2.ipynb	1.7 KB
All In - Lecture_Py3.ipynb	1.7 KB
All In - Solution_Py2.ipynb	1.9 KB
All In - Solution_Py3.ipynb	1.9 KB
/.../42. Iterating over Dictionaries/
Iterating over Dictionaries - Exercise_Py2.ipynb	2.2 KB
Iterating over Dictionaries - Exercise_Py3.ipynb	2.2 KB
Iterating over Dictionaries - Lecture_Py2.ipynb	1.1 KB
Iterating over Dictionaries - Lecture_Py3.ipynb	1.1 KB
Iterating over Dictionaries - Solution_Py2.ipynb	3.0 KB
Iterating over Dictionaries - Solution_Py3.ipynb	2.9 KB
/Machine Learning in Python/
1.1. Introduction to Regression Analysis.mp4.mp4	16.1 MB
1.2. The linear regression model.mp4.mp4	51.9 MB
1.3. Correlation vs regression.mp4.mp4	12.7 MB
1.4. Geometrical representation.mp4.mp4	6.2 MB
1.5. Python packages relevant for this course.mp4.mp4	14.4 MB
1.6. First regression in Python.mp4.mp4	34.2 MB
1.7. Using Seaborn for graphs.mp4.mp4	11.2 MB
1.8. Regression tables.mp4.mp4	33.3 MB
1.9. Decomposition.mp4.mp4	30.0 MB
1.10. OLS.mp4.mp4	24.1 MB
1.11. R-squared.mp4.mp4	41.2 MB
1.12. Multiple linear regression.mp4.mp4	25.0 MB
1.13. Adjusted R-squared.mp4.mp4	39.6 MB
1.14. F-test.mp4.mp4	11.2 MB
1.15. OLS assumptions.mp4.mp4	16.4 MB
1.16. Linearity.mp4.mp4	11.1 MB
1.17. No endogeneity.mp4.mp4	31.1 MB
1.18. A3_Normality_homoscedasticity.mp4.mp4	32.8 MB
1.19. No autocorrelation.mp4.mp4	30.4 MB
1.20. No multicollinearity.mp4.mp4	23.7 MB
1.21. Dummy variables.mp4.mp4	44.8 MB
1.22. Making predictions.mp4.mp4	18.6 MB
2.1. Introduction to logistic regression.mp4.mp4	21.1 MB
2.2. A simple example in Python.mp4.mp4	28.9 MB
2.3. Logistic vs Logit model.mp4.mp4	58.7 MB
2.4. How to build a logistic regression in Python.mp4.mp4	13.8 MB
2.5. An invaluable programming tip.mp4.mp4	24.1 MB
2.6. Understanding the tables.mp4.mp4	21.9 MB
2.7. Interpreting the coefficients.mp4.mp4	22.7 MB
2.8. Binary predictors.mp4.mp4	26.2 MB
2.9. Assessing the accuracy of a model.mp4.mp4	24.3 MB
2.10. The concept of overfitting.mp4.mp4	26.1 MB
2.11. Testing the model.mp4.mp4	26.6 MB
3.1. Introduction to Cluster analysis.mp4.mp4	36.9 MB
3.2. Where is cluster analysis applied.mp4.mp4	69.5 MB
3.3. Classification vs clustering.mp4.mp4	28.2 MB
3.4. Math prerequisites.mp4.mp4	18.9 MB
3.5. K-means clustering.mp4.mp4	31.3 MB
3.6. World map clustering.mp4.mp4	41.6 MB
3.7. Clustering categorical data.mp4.mp4	16.6 MB
3.8. Selecting the number of clusters.mp4.mp4	42.8 MB
3.9. Pros and cons of kmeans.mp4.mp4	33.4 MB
3.10. Standardization.mp4.mp4	37.7 MB
3.11. Clustering and regression.mp4.mp4	10.4 MB
3.12. Market segmentation example.mp4.mp4	33.1 MB
3.13. Market segmentation example_Part2.mp4.mp4	49.4 MB
3.14. How is clustering useful.mp4.mp4	72.6 MB
3.15. Types of clustering.mp4.mp4	36.1 MB
3.16. The dendrogram.mp4.mp4	38.2 MB
3.17. Heatmaps.mp4.mp4	29.7 MB
10. Advanced statistics.mp4.mp4	36.8 MB
x.1. What is sklearn.mp4.mp4	10.4 MB
x.2.mp4.mp4	6.7 MB
x.3.mp4.mp4	15.5 MB
x.4.mp4.mp4	13.0 MB
x.5. Multiple linear regression.mp4.mp4	8.2 MB
x.6.mp4.mp4	12.7 MB
x.7.mp4.mp4	11.7 MB
x.8.mp4.mp4	5.3 MB
x.9.mp4.mp4	15.4 MB
x.10.mp4.mp4	14.0 MB
x.11.mp4.mp4	10.5 MB
x.12.mp4.mp4	7.7 MB
x.13.mp4.mp4	19.9 MB
x.14.mp4.mp4	40.1 MB
x.15.mp4.mp4	18.3 MB
x.16.mp4.mp4	9.6 MB
x.17.mp4.mp4	22.4 MB
x.18.mp4.mp4	24.8 MB
/Mathematics/
2.1. What is a matrix.mp4.mp4	34.6 MB
2.2. Scalars and vectors.mp4.mp4	30.3 MB
2.3. Linear algebra and geometry.mp4.mp4	48.1 MB
2.4. Scalars, vectors, and matrices in Python.mp4.mp4	25.4 MB
2.5. Tensors.mp4.mp4	20.6 MB
2.6. Addition and subtraction.mp4.mp4	37.0 MB
2.7. Errors when adding matrices.mp4.mp4	9.6 MB
2.8. Transpose of a matrix.mp4.mp4	36.7 MB
2.9. Dot product.mp4.mp4	23.1 MB
2.10. Dot product of matrices.mp4.mp4	51.4 MB
2.12. Why is linear algebra useful.mp4.mp4	128.6 MB
/Power BI/
1. Introduction to Power BI.mp4	30.5 MB
2. Power BI Desktop vs Power BI Pro.mp4	5.5 MB
3. Power BI Data Sources.mp4	5.0 MB
4. Power BI for MAC.mp4	17.9 MB
5. Power BI for Mac Part 2.mp4	29.8 MB
5.12.mp4.mp4	10.8 MB
5.13.mp4.mp4	18.6 MB
5.14 project.mp4.mp4	13.6 MB
6. How to Install Power BI.mp4	7.3 MB
6.1..mp4.mp4	7.1 MB
6.4..mp4.mp4	20.2 MB
6.7..mp4.mp4	13.7 MB
6.14..mp4.mp4	33.7 MB
7. Introduction to Data Sources.mp4	11.3 MB
7.1.new.mp4.mp4	8.7 MB
7.2..mp4.mp4	22.1 MB
8. The Query Editor.mp4	9.1 MB
8. The Query Editor.pbix	1.5 MB
9. Import Mode vs DirectQuery.pbix	10.9 KB
9. Import vs DirectQuery.mp4	11.0 MB
10. Data.xlsx	10.5 MB
10. Import Data in Power BI.pbix	1.9 MB
10. Importing Data from Excel Files.mp4	26.1 MB
11. First Data Model.mp4	13.6 MB
11. First Data Model.pbix	2.2 MB
12. Active vs Inactive Relationships.mp4	26.4 MB
12. Active vs Inactive Relationships.pbix	863.2 KB
12. dim-Date.xlsx	314.8 KB
13. Enter Data Manually.pbix	49.4 KB
13. Entering Data Manually.mp4	6.8 MB
13. Role-level Security.pbix	2.1 MB
13. Roles.mp4	6.2 MB
14. Refreshing Data.mp4	15.0 MB
14. Refreshing Data in Power BI.pbix	49.6 KB
15. Hierarchies.mp4	25.4 MB
15. Hierarchies.pbix	747.2 KB
16. Ask a Question.mp4	12.4 MB
16. Q&A in Power BI.pbix	2.1 MB
17. Power BI Course Task Three.rar	12.0 MB
17. Power BI Course.zip	12.7 MB
17. Section Three Data Extract.xlsx	10.5 MB
17. Task Three Text.txt	0.9 KB
17. Task Three.mp4	6.4 MB
17. Task Three.pbix	2.2 MB
18. Task Three, Part 1.mp4	5.4 MB
19. Task Three, Part 2.mp4	5.0 MB
20. Introduction to Data Modelling.mp4	14.9 MB
21. DAX.mp4	13.7 MB
22. Calculated Columns.mp4	7.5 MB
22. Population.pbix	29.6 KB
23. Measures.mp4	9.6 MB
23. Measures.pbix	36.7 KB
24. Star Schema.pbix	2.2 MB
24. The Star Schema.mp4	24.7 MB
25. Snowflake Schema.pbix	814.0 KB
25. The Snowflake Schema.mp4	17.2 MB
26. Investigating Filter Flow.pbix	788.6 KB
26. Investigating the Filter Flow.mp4	11.7 MB
27. Related vs Relatedtable.mp4	24.9 MB
27. RELATED vs RELATEDTABLE.pbix	776.4 KB
28. Bi-directional Cross-filtering.mp4	33.7 MB
28. Bi-Directional Cross-filtering.pbix	788.5 KB
29. Calculate.mp4	10.9 MB
29. CALCULATE.pbix	769.5 KB
30. Time Intelligence Functions.pbix	741.8 KB
30. Time Intelligence, Part 1.mp4	18.1 MB
31. Time Intelligence, Part 2.mp4	21.9 MB
32. All.mp4	26.1 MB
32. ALL.pbix	771.2 KB
33. Filter.mp4	23.9 MB
33. FILTER.pbix	885.5 KB
34. Iterators.mp4	47.7 MB
34. X Iterators.pbix	725.7 KB
35. Logical operators.mp4	14.5 MB
35. Logical Operators.pbix	732.5 KB
36. Switch.mp4	23.2 MB
36. SWITCH.pbix	736.7 KB
37. Text Functions.mp4	35.0 MB
37. Text Functions.pbix	1.9 MB
38. Task Four Text.txt	0.9 KB
38. Task Four.mp4	17.6 MB
a.3.2..mp4.mp4	21.3 MB
a.4.1..mp4.mp4	23.1 MB
a.4.2..mp4.mp4	27.2 MB
a.4.3..mp4.mp4	21.3 MB
a.5.1..mp4.mp4	7.3 MB
a.5.2..mp4.mp4	6.4 MB
a.5.3..mp4.mp4	15.9 MB
a.5.4..mp4.mp4	20.4 MB
S. 5, L. 3.mp4.mp4	26.4 MB
S. 5, L. 4.mp4.mp4	27.7 MB
S. 5, L. 5.mp4.mp4	23.7 MB
S. 5, L. 6.mp4.mp4	16.6 MB
S. 5, L. 8.mp4.mp4	15.0 MB
S. 5, Pt. 1.mp4.mp4	4.4 MB
S. 5, Pt. 2.mp4.mp4	11.3 MB
T. 6, Pt. 6 project.mp4.mp4	17.7 MB
T. 6, Pt. 8.mp4.mp4	37.0 MB
T. 6, Pt. 9.mp4.mp4	9.5 MB
T. 6, Pt. 10.mp4.mp4	19.2 MB
T. 6, Pt. 12.mp4.mp4	24.4 MB
T. 6, Pt. 13.mp4.mp4	21.3 MB
T. 6, Pt. project.mp4.mp4	23.8 MB
T.6, Pt. 2.mp4.mp4	19.8 MB
T.6, Pt. 3.mp4.mp4	15.5 MB
T.6, Pt. 5 project.mp4.mp4	21.5 MB
WDTCC - final with screen.mp4.mp4	51.0 MB
а.3.1..mp4.mp4	25.6 MB
/Probability/
1.2.mp4.mp4	28.2 MB
1.3.mp4.mp4	26.9 MB
1.4.mp4.mp4	20.6 MB
1.5.mp4.mp4	19.3 MB
2.1.mp4.mp4	5.9 MB
2.2 Permutation 30.04.mp4.mp4	14.2 MB
2.3.mp4.mp4	9.7 MB
2.4.mp4.mp4	11.7 MB
2.5. Probability - Why do we use a different formula.mp4.mp4	15.1 MB
2.6.mp4.mp4	20.2 MB
2.7.mp4.mp4	14.9 MB
2.8.mp4.mp4	12.6 MB
2.10 Summary 30.04.mp4.mp4	13.2 MB
2.11.mp4.mp4	43.3 MB
3.1.mp4.mp4	15.6 MB
3.2 (Exclute - Exclude).mp4.mp4	16.9 MB
3.3.mp4.mp4	10.1 MB
3.4.mp4.mp4	20.1 MB
3.5.mp4.mp4	9.2 MB
3.6.mp4.mp4	12.0 MB
3.7.mp4.mp4	15.4 MB
3.9.mp4.mp4	15.3 MB
3.10 Bayes Rule.mp4.mp4	21.4 MB
4,5.mp4.mp4	12.0 MB
4.1 An overview of distributions.mp4.mp4	19.3 MB
4.2 18.07.mp4.mp4	30.2 MB
4.3..mp4.mp4	8.3 MB
4.4..mp4.mp4	8.8 MB
4.6 np.mp4.mp4	19.3 MB
4.7 19.07.mp4.mp4	15.1 MB
4.8 18.07.mp4.mp4	21.1 MB
4.9 Normal Distribution-1080 FINAL.mp4.mp4	14.9 MB
4.9.1..mp4.mp4	16.1 MB
4.10.mp4.mp4	9.4 MB
4.11.mp4.mp4	9.4 MB
4.12 Exponential Distribution-with LOGO.mp4.mp4	12.5 MB
4.13 Logistic Distribution with LOGO.mp4.mp4	15.6 MB
5.1 Tie-ins to Finance-1080p-FINAL.mp4.mp4	31.1 MB
5.2 Statistics-1080p-FINAL.mp4.mp4	25.3 MB
5.3 Data Science-1080p-FINAL.mp4.mp4	21.6 MB
Additive Law - table fixed.mp4.mp4	10.0 MB
Bayesian (12.09).mp4.mp4	50.7 MB
Dist attempt 2.mp4.mp4	67.9 MB
Law of Total Probability.mp4.mp4	12.8 MB
Lottery - additional 0.mp4.mp4	15.1 MB
/SQL/
1.2 Why SQL.tsc365_dsproj.mp4.mp4	39.9 MB
1.3 Why MySQL_365_ds.mp4.mp4	18.7 MB
1.4 Introduction to Databases_365ds.mp4.mp4	60.1 MB
2.1 SQL as a declarative language_365_ds.mp4.mp4	28.2 MB
2.2 DDL_365_ds.mp4.mp4	24.1 MB
2.3 Keywords_365_ds.mp4.mp4	4.7 MB
2.4 DML_365_ds.mp4.mp4	14.5 MB
2.5 DC_365_dsL.mp4.mp4	33.1 MB
2.6 TCL_365ds.mp4.mp4	19.4 MB
3.1 Relational Database Essentials_365ds.mp4.mp4	59.9 MB
3.2 Databases vs. Spreadsheets_365ds.mp4.mp4	90.9 MB
3.3 Database Terminology_365ds.mp4.mp4	51.0 MB
3.4 Rel Schemas - Primary Key_365ds.mp4.mp4	30.0 MB
3.5 Rel Schemas Foreign Key_365ds.mp4.mp4	31.2 MB
3.6 Rel Schemas Unique Keys Null Value_365dss.mp4.mp4	18.1 MB
3.7 Relationships_365ds.mp4.mp4	27.9 MB
4.1 Installing MySQL_365ds.mp4.mp4	73.6 MB
4.2 Setting Up a Connection_365ds.mp4.mp4	19.3 MB
4.2.2 nativeuser creation_365ds.mp4.mp4	24.1 MB
4.3 Introduction to the MySQL Interface_new_365ds.mp4.mp4	35.4 MB
5.1 Creating a Database - Part I_365ds.mp4.mp4	28.0 MB
5.2 Creating a Database - Part II 365_ds.mp4.mp4	7.2 MB
5.3 Introduction to Data Types_365ds.mp4.mp4	11.7 MB
5.4 String Data Types_365ds.mp4.mp4	25.0 MB
5.5 Integers_365ds.mp4.mp4	27.4 MB
5.6 Fixed Floating Data Types_365ds.mp4.mp4	34.2 MB
5.7 Other Useful Data Types_365ds.mp4.mp4	31.4 MB
5.8 Creating a Table 365_ds.mp4.mp4	15.2 MB
5.9 Using Databases and Tables 365_ds.mp4.mp4	9.4 MB
5.10 Additional Notes on Using Tables 365_ds.mp4.mp4	7.7 MB
6. SQL.mp4.mp4	33.7 MB
6.1 PRIMARY KEY Constraint_365ds.mp4.mp4	25.6 MB
6.2.1 FOREIGN KEY Constraint - Part I_365ds.mp4.mp4	23.5 MB
6.2.2 FOREIGN KEY Constraint - Part II.mp4.mp4	32.1 MB
6.3 UNIQUE Constraint_365ds.mp4.mp4	25.2 MB
6.4 DEFAULT Constraint_365ds.mp4.mp4	27.8 MB
6.5 NOT NULL Constraint - Part I_365ds.mp4.mp4	32.3 MB
6.6 NOT NULL Constraint - Part II_365ds.mp4.mp4	9.8 MB
7.1 Coding Techniques and Best Practices - Part I_365ds.mp4.mp4	24.2 MB
7.2 Coding Tips and Best Practices - II_365ds.mp4.mp4	20.4 MB
8.0 Loading the 'employees' Database_365ds.mp4.mp4	12.8 MB
8.1 SELECT... FROM..._365ds.mp4.mp4	23.4 MB
8.2 WHERE_365ds.mp4.mp4	12.9 MB
8.3 AND_365ds.mp4.mp4	10.1 MB
8.4 OR_365ds.mp4.mp4	18.9 MB
8.5 Operator Precedence_365ds.mp4.mp4	18.5 MB
8.6 IN - NOT IN_365ds.mp4.mp4	17.9 MB
8.7 LIKE - NOT LIKE_365ds.mp4.mp4	21.6 MB
8.8 Wildcard Characters_365ds.mp4.mp4	8.4 MB
8.9 BETWEEN... AND..._365ds.mp4.mp4	10.7 MB
8.10 IS NOT NULL - IS NULL_365ds.mp4.mp4	8.7 MB
8.11 Other Comparison Operators_365ds.mp4.mp4	24.5 MB
8.12 SELECT DISTINCT_365ds.mp4.mp4	9.9 MB
8.13 Introduction to Aggregate Functions_365ds.mp4.mp4	26.7 MB
8.14 ORDER BY_365ds.mp4.mp4	23.8 MB
8.15 GROUP BY_365ds.mp4.mp4	32.9 MB
8.16 Using Aliases (AS)_365ds.mp4.mp4	12.5 MB
8.17 HAVING_365ds.mp4.mp4	20.0 MB
8.18 WHERE vs HAVING - Part I_365ds.mp4.mp4	21.7 MB
8.19 WHERE vs HAVING - Part II_365ds.mp4.mp4	14.8 MB
8.20 LIMIT_365ds.mp4.mp4	28.7 MB
9.1 The INSERT Statement - Part I_365ds.mp4.mp4	31.6 MB
9.2 The INSERT Statement - Part II_365ds.mp4.mp4	14.9 MB
9.3 Inserting Data INTO a New Table.mp4.mp4	21.1 MB
10.0 TCL's COMMIT and ROLLBACK_365ds.mp4.mp4	16.9 MB
10.1 The UPDATE Statement - Part I_365ds.mp4.mp4	17.4 MB
10.2 The UPDATE Statement - Part II_365ds.mp4.mp4	16.5 MB
11.1 The DELETE Statement - Part I_365ds.mp4.mp4	22.8 MB
11.2 The DELETE Statement - Part II_365am.mp4.mp4	7.9 MB
11.3 DROP vs TRUNCATE vs DELETE_365ds.mp4.mp4	15.7 MB
12.2 SUM()_365ds.mp4.mp4	6.7 MB
12.3 MIN() and MAX()_365ds.mp4.mp4	6.5 MB
12.4 AVG()_365ds.mp4.mp4	8.9 MB
12.5 ROUND()_365ds.mp4.mp4	10.6 MB
12.7 IFNULL() and COALESCE()_365ds.mp4.mp4	20.3 MB
12.8 Another Example of Using COALESCE()_365ds.mp4.mp4	8.0 MB
13.1 Introduction to Joins_365ds.mp4.mp4	26.6 MB
13.2 INNER JOINs - Part I_365ds.mp4.mp4	26.8 MB
13.3 INNER JOIN - Part II_365ds.mp4.mp4	39.4 MB
13.4 A Note on Using Joins_365ds.mp4.mp4	24.0 MB
13.5 Duplicate Records_365ds.mp4.mp4	27.6 MB
13.6 LEFT JOIN - Part I_365ds.mp4.mp4	29.6 MB
13.7 LEFT JOIN - Part II_365ds.mp4.mp4	32.1 MB
13.8 RIGHT JOIN_365ds.mp4.mp4	12.2 MB
13.9 The New and the Old Join Syntax_365ds.mp4.mp4	19.5 MB
13.10 JOIN and WHERE Used Together_365ds.mp4.mp4	14.0 MB
13.10.1 CROSS JOIN_temp_365ds.mp4.mp4	42.7 MB
13.11 Using Aggr Fcts and Joins_365ds.mp4.mp4	13.7 MB
13.12 JOIN More Than Two Tables in SQL_365ds.mp4.mp4	13.4 MB
13.13 Tips and Tricks for Joins_365ds.mp4.mp4	29.0 MB
13.14 UNION vs UNION ALL_365ds.mp4.mp4	28.3 MB
13.15 Subqueries - IN - WHERE 365_ds.mp4.mp4	15.5 MB
13.16 Subqueries - EXISTS - WHERE_365ds.mp4.mp4	10.2 MB
13.17 Subqueries SELECT FROM_365ds.mp4.mp4	44.4 MB
13.18 SQL Self Join_365ds.mp4.mp4	45.1 MB
13.19 Using SQL Views_365ds.mp4.mp4	38.0 MB
14.1 Introduction to Stored Routines_365ds.mp4.mp4	19.9 MB
14.2 Syntax St Procedures_365ds.mp4.mp4	23.4 MB
14.3 St Procedures - Example - Part I_365ds.mp4.mp4	15.5 MB
14.4 St Procedures - Example - Part II_365ds.mp4.mp4	24.3 MB
14.5 Another Way to Create a Procedure_365ds.mp4.mp4	18.5 MB
14.6 St Procedures with an Input Parameter_365ds.mp4.mp4	37.1 MB
14.7 St Procedures with an Output Parameter_365ds.mp4.mp4	19.1 MB
14.8 Variables_365ds.mp4.mp4	33.6 MB
14.9 User-Defined Functions in MySQL.mp4.mp4	20.4 MB
14.10 Stored Routines - Conclusion_365ds.mp4.mp4	17.1 MB
15.1 MySQL Variables - Local Variables_365ds.mp4.mp4	25.5 MB
15.2 Session Variables_365ds.mp4.mp4	24.6 MB
15.3 Global Variables_365ds.mp4.mp4	10.3 MB
15.4 User-Defined vs System Variables_365ds.mp4.mp4	23.8 MB
15.6 MySQL Indexes_365ds.mp4.mp4	38.4 MB
15.7 The CASE Statement_365ds.mp4.mp4	31.4 MB
BI SQL 12.1 COUNT()_365ds.mp4.mp4	18.9 MB
/SQL - Tableau - Python/
1.1 Integration Level 1.mp4.mp4	19.7 MB
1.2 Integration Level 1.mp4.mp4	30.1 MB
1.3 Integration Level 1.mp4.mp4	35.8 MB
1.4 Integration Level 1.mp4.mp4	18.1 MB
1.5 Integration Level 1.mp4.mp4	22.6 MB
2.1 Integration Level 1.mp4.mp4	16.4 MB
2.2 Integration Level 1.mp4.mp4	13.2 MB
2.3 Integration Level 1.mp4.mp4	12.7 MB
3.2 Integration Level 1.mp4.mp4	9.6 MB
3.3 Integration Level 1.mp4.mp4	24.6 MB
3.4 Integration Level 1.mp4.mp4	11.9 MB
3.5 Integration Level 1.mp4.mp4	7.7 MB
3.6 Integration Level 1.mp4.mp4	24.7 MB
3.7 Integration Level 1.mp4.mp4	15.4 MB
3.8 Integration Level 1.mp4.mp4	31.0 MB
3.9 Integration Level 1.mp4.mp4	5.0 MB
3.10 Integration Level 1.mp4.mp4	28.5 MB
3.11 Integration Level 1.mp4.mp4	15.0 MB
3.12 Integration Level 1.mp4.mp4	5.6 MB
3.13 Integration Level 1.mp4.mp4	10.0 MB
3.14 Integration Level 1.mp4.mp4	21.9 MB
3.15 Integration Level 1.mp4.mp4	18.7 MB
3.16 Integration Level 1.mp4.mp4	11.0 MB
3.17 Integration Level 1.mp4.mp4	10.9 MB
3.18 Integration Level 1.mp4.mp4	14.3 MB
3.19 Integration Level 1.mp4.mp4	10.4 MB
4.1 Integration Level 1.mp4.mp4	9.9 MB
4.2 Integration Level 1.mp4.mp4	18.3 MB
4.3 Integration Level 1.mp4.mp4	7.1 MB
4.4 Integration Level 1.mp4.mp4	8.5 MB
4.5 Integration Level 1.mp4.mp4	20.4 MB
4.6 Integration Level 1.mp4.mp4	16.5 MB
4.7 Integration Level 1.mp4.mp4	16.2 MB
4.8 Integration Level 1.mp4.mp4	18.0 MB
4.9 Integration Level 1.mp4.mp4	15.3 MB
4.10 Integration Level 1.mp4.mp4	15.5 MB
4.11 Integration Level 1.mp4.mp4	15.7 MB
4.12 Integration Level 1.mp4.mp4	16.2 MB
4.13 Integration Level 1.mp4.mp4	12.6 MB
4.15 Integration Level 1.mp4.mp4	18.3 MB
5.1 Integration Level 1.mp4.mp4	10.9 MB
5.2 Integration Level 1.mp4.mp4	20.3 MB
5.3 Integration Level 1.mp4.mp4	20.8 MB
5.4 Integration Level 1.mp4.mp4	7.4 MB
5.5 Integration Level 1.mp4.mp4	8.3 MB
5.6 Integration Level 1.mp4.mp4	19.5 MB
5.7 Integration Level 1.mp4.mp4	9.7 MB
5.8 Integration Level 1.mp4.mp4	31.7 MB
5.9 Integration Level 1.mp4.mp4	23.8 MB
5.10 Integration Level 1.mp4.mp4	11.4 MB
6.1 Integration Level 1.mp4.mp4	20.2 MB
6.2 Integration Level 1.mp4.mp4	22.6 MB
6.3 Integration Level 1.mp4.mp4	14.4 MB
/SQL and Tableau/
0.1 Introduction to software integration.mp4.mp4	39.8 MB
0.2 Combining SQL and Tableau_bi.mp4.mp4	30.3 MB
9. SQL and Tableau.mp4.mp4	39.2 MB
16.3 Installing Tableau Public_365ds.mp4.mp4	20.6 MB
SQL Tableau - Chart 1 Visualization Pt I.mp4.mp4	20.7 MB
SQL Tableau - Chart 1 Visualization Pt II.mp4.mp4	23.2 MB
SQL Tableau - Chart 2 Visualization.mp4.mp4	25.6 MB
SQL Tableau - Chart 3 Visualization.mp4.mp4	17.9 MB
SQL Tableau - Chart 4 Visualization.mp4.mp4	11.2 MB
SQL Tableau - Export and Load CSV.mp4.mp4	14.4 MB
SQL Tableau - Loading the Database.mp4.mp4	17.9 MB
SQL Tableau - Problem 1 Solution in SQL.mp4.mp4	19.4 MB
SQL Tableau - Problem 1 Task.mp4.mp4	18.3 MB
SQL Tableau - Problem 2 Solution in SQL.mp4.mp4	17.2 MB
SQL Tableau - Problem 2 Task.mp4.mp4	15.1 MB
SQL Tableau - Problem 3 Solution in SQL.mp4.mp4	16.1 MB
SQL Tableau - Problem 3 Task.mp4.mp4	7.5 MB
SQL Tableau - Problem 4 Solution in SQL.mp4.mp4	14.6 MB
SQL Tableau - Problem 4 Task.mp4.mp4	11.9 MB
SQL Tableau - Problem 5 Organizing Charts 1-4 into a Dashboard.mp4.mp4	24.7 MB
/Statistics/
1.2. Population and sample.mp4.mp4	72.9 MB
2.1. Types of data_new.mp4.mp4	84.3 MB
2.2. Levels of measurement.mp4.mp4	54.4 MB
2.3. Categorical variables. Visualization techniques.mp4.mp4	12.5 MB
2.4. Numerical variables. Frequency distribution table.mp4.mp4	22.2 MB
2.5. The histogram.mp4.mp4	12.6 MB
2.6. Cross table and scatter plot.mp4.mp4	33.6 MB
2.7. Mean, median, mode.mp4.mp4	32.8 MB
2.8. Skewness.mp4.mp4	17.5 MB
2.9. Variance.mp4.mp4	46.6 MB
2.10. Standard deviation and coefficient of variation.mp4.mp4	39.4 MB
2.11. Covariance.mp4.mp4	25.2 MB
2.12. Correlation.mp4.mp4	27.2 MB
2.13. Practical example.mp4.mp4	129.0 MB
3. statistics.mp4.mp4	29.9 MB
3.1. Introduction.mp4.mp4	18.2 MB
3.2. What is a distribution.mp4.mp4	67.4 MB
3.3. The normal distribution.mp4.mp4	35.6 MB
3.4. The standard normal distribution.mp4.mp4	20.5 MB
3.5. The central limit theorem.mp4.mp4	74.0 MB
3.6. Standard error.mp4.mp4	24.4 MB
3.7. Estimators and estimates.mp4.mp4	63.8 MB
3.8. What is a confidence interval.mp4.mp4	60.1 MB
3.9. Population variance known, z-score.mp4.mp4	63.5 MB
3.9_1. Confidence interval clarifications.mp4.mp4	54.7 MB
3.10. Student's T Distribution.mp4.mp4	39.8 MB
3.11. Population variance unknown, t-score.mp4.mp4	10.3 MB
3.12. Margin of error.mp4.mp4	18.8 MB
3.13. Confidence intervals. Two means. Dependent samples.mp4.mp4	59.8 MB
3.14. Confidence intervals. Two means. Independent samples (Part1).mp4.mp4	21.6 MB
3.15. Confidence intervals. Two means. Independent samples (Part2).mp4.mp4	21.8 MB
3.16. Confidence intervals, ind samp, var unkn assumed diff.mp4.mp4	22.6 MB
3.17. Practical example_Al bundy.mp4.mp4	72.5 MB
4.1. Null vs alternative.mp4.mp4	35.5 MB
4.2. Rejection region and significance level.mp4.mp4	40.4 MB
4.3. Type I error vs Type II error.mp4.mp4	40.6 MB
4.4. Test for the mean. Population variance known.mp4.mp4	45.6 MB
4.5. P-value.mp4.mp4	86.8 MB
4.6. Test for the mean. Population variance unknown.mp4.mp4	15.2 MB
4.7. Test for the mean. Dependent samples.mp4.mp4	16.2 MB
4.8. Test for the mean. Independent samples (Part1).mp4.mp4	26.6 MB
4.9. Test for the mean. Independent samples (Part2).mp4.mp4	13.4 MB
4.10. Hypothesis testing.mp4.mp4	55.5 MB
/Tableau/
1. Welcome to Tableau.mp4	29.9 MB
2. Why Use Tableau Make Your Data Make an Impact.mp4	25.7 MB
3. Let's Download Tableau Public.mp4	11.1 MB
4. Connecting data.mp4	5.1 MB
4. GDP-Data.xls	159.2 KB
5. Exploring Tableau's Interface.mp4	33.9 MB
6. Let's Create our first Chart in Tableau!.mp4	33.8 MB
7. Duplicating a Sheet.mp4	11.5 MB
8. Creating a Table.mp4	17.4 MB
8. Tesla-sales-data.xlsx	2.9 MB
9. Creating Custom Fields.mp4	9.5 MB
9. Tableau operators – 365ds.pdf	114.0 KB
10. Creating a Custom Field and Adding Calculations to a Table.mp4	15.8 MB
11. Adding Totals and Subtotals.mp4	9.1 MB
12. Adding a Custom Calculation.mp4	15.7 MB
13. Inserting a Filter.mp4	12.0 MB
14. Types-of-Joins.xlsx	57.7 KB
14. Working with Joins in Tableau.mp4	20.2 MB
15. Audiobook-reviews.xlsx	273.3 KB
15. Audiobook-sales.xlsx	2.0 MB
15. Introduction to the exercise.mp4	10.0 MB
16. Building a Tableau dashboard Three types of charts you want to have in a Tableau dashboard.mp4	7.9 MB
17. Using Joins in Tableau.mp4	20.2 MB
18. Performing a Numbers Check - Attempt #1.mp4	14.3 MB
19. Blending Data in Tableau.mp4	19.9 MB
20. Performing a Numbers Check - Attempt #2.mp4	13.8 MB
21. First chart.mp4	14.7 MB
22. Second chart.mp4	10.5 MB
23. Third Chart.mp4	9.8 MB
24. Creating and Formatting a Dashboard.mp4	18.2 MB
25. Adding Interactive Filters for Improved Analysis.mp4	15.5 MB
26. Interactive filters -fix.mp4	6.2 MB
/Time Series Analysis in Python/
1.1 for teachable (26.09).mp4.mp4	17.0 MB
2.1.mp4.mp4	2.2 MB
2.2.mp4.mp4	9.5 MB
2.3.mp4.mp4	8.4 MB
2.4.mp4.mp4	4.4 MB
2.5.mp4.mp4	9.6 MB
2.6.mp4.mp4	2.9 MB
3.1 Introduction to Time Series Data (02.08).mp4.mp4	16.7 MB
3.2 Notation for Time Series Data (02.08).mp4.mp4	3.9 MB
3.3 Peculiarities (02.08).mp4.mp4	8.5 MB
3.4 Loading the Data (24.09).mp4.mp4	4.2 MB
3.5 Examining the Data (26.07).mp4.mp4	14.6 MB
3.6 Plotting the Data (26.07).mp4.mp4	9.6 MB
3.7 The QQ Plot (24.09).mp4.mp4	6.5 MB
4.1 Transforming String inputs into DateTime Values (29.07).mp4.mp4	10.6 MB
4.2 Using Dates as Indices (29.07).mp4.mp4	6.3 MB
4.3 Setting the Frequency (10.10).mp4.mp4	5.7 MB
4.4 Filling Missing Values (21.10).mp4.mp4	12.8 MB
4.5 Adding and Removing Columns in a Data Frame (31.07).mp4.mp4	7.2 MB
4.6 Splitting the Data (10.10).mp4.mp4	8.6 MB
5.1 White Noise (02.08).mp4.mp4	16.6 MB
5.2 Random Walk (07.08).mp4.mp4	11.3 MB
5.3 Stationarity (02.08).mp4.mp4	6.7 MB
5.4 Determining Weak Form Stationarity (09.08).mp4.mp4	11.9 MB
5.5 Seasonality (20.08).mp4.mp4	11.7 MB
5.6 Correlation Between Past and Present Values (02.08).mp4.mp4	4.7 MB
5.7 The ACF (21.08).mp4.mp4	12.1 MB
5.8 The PACF (21.08).mp4.mp4	10.6 MB
6.1 Picking the Correct Model (02.08).mp4.mp4	8.1 MB
7.1 The AR Model (02.08).mp4.mp4	16.1 MB
7.2 Examining the ACF and PACF of Prices (26.08).mp4.mp4	11.5 MB
7.3 Fitting an AR(1) Model for Index Prices (27.08).mp4.mp4	9.9 MB
7.4 Fitting Higher Lag AR Models for Prices (02.09).mp4.mp4	22.9 MB
7.5 Using Returns (24.09).mp4.mp4	12.1 MB
7.6 Examining the ACF and PACF of Returns (03.09).mp4.mp4	6.1 MB
7.7 Fitting an AR(1) Model for Index Returns (03.09).mp4.mp4	5.2 MB
7.8 Fitting Higher Lag AR Models for Returns (04.09).mp4.mp4	11.6 MB
7.9 Normalizing Values (24.09).mp4.mp4	13.5 MB
7.10 Model Selection for Normalized Returns (04.09).mp4.mp4	7.6 MB
7.11 Examining the AR Model Residuals (05.09).mp4.mp4	11.7 MB
7.12 Unexpected Shocks from Past Periods (19.09).mp4.mp4	5.8 MB
8.1 The MA Model (05.09).mp4.mp4	10.0 MB
8.2 Fitting an MA(1) Model for Returns (05.09).mp4.mp4	8.3 MB
8.3 Fitting Higher-Lag MA Models for Returns (05.09).mp4.mp4	24.5 MB
8.4 Examining the MA Model Residuals for Returns (06.09).mp4.mp4	13.3 MB
8.5 Model Selection for Normalized Returns (07.09).mp4.mp4	7.7 MB
8.6 Fitting an MA(1) Model for Prices (07.09).mp4.mp4	11.1 MB
8.7 Past Values and Past Errors (19.09).mp4.mp4	7.3 MB
9.1 The ARMA Model (18.09).mp4.mp4	9.9 MB
9.2 Fitting a Simple ARMA Model for Returns (08.09).mp4.mp4	10.2 MB
9.3.0 Fitting a Higher-Lag ARMA Model for Returns - part 1 (08.09).mp4.mp4	15.5 MB
9.3.1 Fitting a Higher-Lag ARMA Model for Returns - part 2 (08.09).mp4.mp4	15.0 MB
9.3.2 Fitting a Higher-Lag ARMA Model for Returns - part 3 (08.09).mp4.mp4	18.0 MB
9.4 Examinig the ARMA Model Residuals of Returns (08.09).mp4.mp4	21.7 MB
9.5 ARMA for Prices (08.09).mp4.mp4	20.9 MB
9.6 ARMA Models and Non-stationary Data (19.09).mp4.mp4	5.5 MB
10.1 The ARIMA Model (19.09).mp4.mp4	16.3 MB
10.2 Fitting a Simple ARIMA Model for Prices (24.09).mp4.mp4	16.5 MB
10.3.1 Fitting a Higher Lag ARIMA Model for Prices - part 1 (11.09).mp4.mp4	16.0 MB
10.3.2 Fitting a Higher Lag ARIMA Model for Prices - part 2 (11.09).mp4.mp4	16.0 MB
10.4 Higher Levels of Integration (11.09).mp4.mp4	9.0 MB
10.5 Using ARIMA Models for Returns (19.09).mp4.mp4	9.9 MB
10.6 Outside Factors and the ARIMAX Model (11.09).mp4.mp4	8.9 MB
10.7 (SARIMAX) (22.12).mp4.mp4	16.6 MB
10.7 Predicting Stability (19.09).mp4.mp4	5.7 MB
11.1 The ARCH Model (19.09).mp4.mp4	14.4 MB
11.2 Volatility (19.09).mp4.mp4	9.4 MB
11.3 A More Detailed Look of the ARCH Model (18.09).mp4.mp4	13.9 MB
11.4 The arch_model Method(16.09).mp4.mp4	23.4 MB
11.5 The Simple ARCH Model (16.09).mp4.mp4	21.3 MB
11.6 Higher Lag ARCH Models (16.09).mp4.mp4	12.2 MB
11.7 An ARMA Equivalent of the ARCH Model (19.09).mp4.mp4	4.2 MB
12.1 The GARCH Model (19.09).mp4.mp4	8.3 MB
12.2 The ARMA and the GARCH (19.09).mp4.mp4	6.2 MB
12.3 The Simple GARCH Model (20.09).mp4.mp4	10.7 MB
12.4 Higher-Lag GARCH Models (19.09).mp4.mp4	13.2 MB
12.5 The Goal Behind Modeling (19.09).mp4.mp4	3.6 MB
12.6 (18.12).mp4.mp4	4.1 MB
13.1 (18.12).mp4.mp4	14.3 MB
13.2 (04.12).mp4.mp4	4.5 MB
13.3 (04.12).mp4.mp4	16.0 MB
13.4 (10.12).mp4.mp4	32.2 MB
13.5 (11.12).mp4.mp4	16.5 MB
14.1 (11.12).mp4.mp4	18.5 MB
14.2 (11.12).mp4.mp4	12.5 MB
14.3 (19.12).mp4.mp4	14.6 MB
14.4 (19.12).mp4.mp4	9.5 MB
14.5(21.12).mp4.mp4	11.2 MB
14.6 (21.12).mp4.mp4	18.7 MB
14.7 (21.12).mp4.mp4	13.5 MB
14.8 (22.12).mp4.mp4	24.3 MB
15.1 (22.12).mp4.mp4	70.2 MB
Total files 1498