Beginning Data Science Track | 41480EA91CCC5BC0E213701EAFB02B99F201412E

Beginning Data Science Track

Name	Beginning Data Science (Track)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.9 GB
Total Files	452
Last Seen
Hash	41480EA91CCC5BC0E213701EAFB02B99F201412E

/.../03. Array Programming/
01. New Way of Thinking.webm	57.9 MB

TutsNode.com.txt	0.1 KB
[TGx]Downloaded from torrentgalaxy.to .txt	0.6 KB
/.../13. Introduction to pandas/1. Exploring pandas/Instruction/
Selecting Data.png	769.6 KB
Optional Challenge #3 - Verified Email List.png	429.4 KB
Optional Challenge #2 - Update Users.png	409.0 KB
Optional Challenge #1 - Top Referrers.png	403.4 KB
Manipulating Text.png	742.8 KB
Grouping.png	968.6 KB
Handling Duplicated and Missing Data.png	883.7 KB
Manipulation Techniques.png	1.3 MB
Exploration Methods.png	1.3 MB
Combining DataFrames.png	1.3 MB
/.../08. Object-Oriented Python/
Object-Oriented Python.md	7.3 KB
[TutsNode.net] - TeamTreehouse - Beginning Data Science (Track)/
Beginning Data Science.md	6.8 KB
/.../02. Python Basics/
Python Basics.md	5.8 KB
/.../15. Introduction to Data Visualization with Matplotlib/
Introduction to Data Visualization with Matplotlib.md	4.6 KB
/.../12. Introduction to NumPy/
Introduction to NumPy.md	4.5 KB
/.../19. Introduction to Big Data/
Introduction to Big Data.md	4.3 KB
/.../06. Functions, Packing, and Unpacking/
Functions, Packing, and Unpacking.md	4.3 KB
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/.../02. Array Organization/
01. Indexing.webm	51.4 MB
02. Boolean Array Indexing.webm	47.6 MB
04. Manipulation.webm	45.6 MB
03. Slicing.webm	29.6 MB
/.../17. Scraping Data From the Web/
Scraping Data From the Web.md	4.2 KB
/.../01. Data Analysis Basics/
Data Analysis Basics.md	4.0 KB
/.../03. Introducing Lists/
Introducing Lists.md	3.6 KB
/.../07. Introducing Tuples/
Introducing Tuples.md	1.9 KB
/.../01. Meet NumPy/
01. Welcome.webm	48.5 MB
03. Introducing Arrays.webm	40.3 MB
05. Multidimensional Arrays.webm	37.0 MB
04. Creating the Study Log.webm	30.5 MB
02. Getting Setup.webm	18.3 MB
/.../13. Introduction to pandas/0. Meet pandas/Instruction/
Accessing a Series.png	696.3 KB
Series Vectorization and Broadcasting.png	566.7 KB
Creating a Series.png	523.7 KB
Creating a DataFrame.png	476.2 KB
About This Course.png	307.9 KB
Accessing a DataFrame.png	735.2 KB
/.../05. Python Sequences/
Python Sequences.md	3.6 KB
/.../20. Machine Learning Basics/
Machine Learning Basics.md	3.4 KB
/.../04. Introducing Dictionaries/
Introducing Dictionaries.md	3.0 KB
/.../02. Sequence Operations/
08. Sequence Operations Cheat Sheet.md	2.8 KB
06. Code Samples Membership Testing, Count, and Index.md	1.2 KB
01. Sequence Operations.webm	8.2 MB
02. Slices.webm	7.3 MB
05. Count and Index.webm	7.2 MB
07. Concatenation and Multiplication.webm	4.6 MB
03. Len, Min, and Max.webm	4.6 MB
04. Membership Testing.webm	4.3 MB
/.../Getting to Know Tuples/
04. Tuple Syntax.md	2.6 KB
03. Tuples vs. Lists.md	2.1 KB
02. Recap.webm	9.4 MB
01. Introducing Tuples.webm	8.2 MB
/.../14. Preparing Data for Analysis/
Preparing Data for Analysis.md	2.4 KB
/.../01. Meet Python/
06. Code Challenges.md	0.9 KB
01. Welcome.webm	37.6 MB
07. Input and Coding Style.webm	27.1 MB
04. Syntax and Errors.webm	24.2 MB
03. The Python Shell.webm	21.5 MB
05. Variables.webm	21.3 MB
02. Running Scripts.webm	14.9 MB
/.../03. Additional Scraping Tasks/
04. Common Issues with Data Scraping.md	1.7 KB
02. Scraping APIs.webm	24.0 MB
03. Using Scrapers for Site Testing.webm	23.3 MB
01. An Intelligent Spider.webm	20.8 MB
05. Wrapping Up.webm	7.7 MB
/.../Common Issues with Data Scraping/
Common Issues with Data Scraping.md	1.7 KB
/.../02. Getting Info In and Out of Functions/
05. Function Gotchas.md	1.6 KB
02. Functions Recap and Cheat Sheet.md	1.4 KB
03. All About Returns.webm	8.6 MB
04. Arguments and Parameters.webm	7.0 MB
06. Multiple Arguments and Parameters.webm	6.3 MB
01. Moving Forward.webm	5.1 MB
/.../11. Jupyter Notebooks/
Jupyter Notebooks.md	1.3 KB
03. Graphs and Charts.webm	26.5 MB
04. Other Languages.webm	21.2 MB
01. Installation and Creating Your First Notebook.webm	18.5 MB
02. Running Code in Cells.webm	13.0 MB
/.../02. Iterating and Packing with Dictionaries/
03. Unpacking with Dictionaries.md	1.2 KB
01. Iterate over Dictionaries.webm	6.6 MB
02. Packing with Dictionaries.webm	6.5 MB
/.../10. Introduction to Anaconda/
Introduction to Anaconda.md	1.2 KB
01. What is Anaconda and why use it.webm	22.8 MB
04. miniconda.webm	21.4 MB
02. Installing Anaconda.webm	18.5 MB
03. Using conda to Install Packages.webm	9.8 MB
/.../18. Data from APIs/
Data from APIs.md	1.0 KB
01. Accessing an API with Python.webm	33.9 MB
03. Calling the API.webm	26.7 MB
04. Saving the Data.webm	23.4 MB
02. Gathering Weather Data.webm	8.7 MB
/.../16. More Visualization/
More Visualization.md	1.0 KB
/.../03. Writing a Classifier/Project Files/
ML-machine-learning-basics.zip	0.6 KB
/.../09. Learning SQL/
Learning SQL.md	0.5 KB
/.../13. Introduction to pandas/0. Meet pandas/Project Files/
python-introducing-pandas-1.2.0.zip	90.4 KB
/.../02. Data Cleaning/Project Files/
preparing-data-for-analysis-student.zip	38.9 KB
/.../03. Array Programming/
02. Universal Functions.webm	45.0 MB
04. Plotting.webm	40.6 MB
03. Routines in Action.webm	40.3 MB
05. No Problem.webm	18.8 MB
/.../01. Meet NumPy/Project Files/
python-intro-to-numpy.zip	59.1 KB
/.../01. What is Big Data/
04. Exploring Our New Problems.webm	43.3 MB
03. The Importance of Big Data.webm	23.9 MB
01. Welcome.webm	20.1 MB
02. Characteristics of Big Data.webm	10.5 MB
/.../01. Instant Objects/Project Files/
Object-Oriented+Python+2.zip	133.3 KB
/.../02. Array Organization/Project Files/
python-intro-to-numpy.zip	59.1 KB
/.../13. Introduction to pandas/0. Meet pandas/
0.Welcome.webm	41.7 MB
2.Vectorization and Broadcasting Review.webm	14.4 MB
1.Meet Series.webm	12.6 MB
3.Meet DataFrames.webm	12.2 MB
4.Onwards.webm	5.0 MB
/.../08. Object-Oriented Python/02. Inheritance/Project Files/
Object-Oriented+Python+2.zip	133.3 KB
/.../03. Array Programming/Project Files/
python-intro-to-numpy.zip	59.1 KB
/.../01. Introducing Data Scraping/Project Files/
scraping_data_from_the_web.zip	38.2 KB
/.../01. Getting Started with Data Visualization/Project Files/
intro_matplotlib.zip	272.0 KB
/.../03. Advanced Objects/Project Files/
Object-Oriented+Python+2.zip	133.3 KB
/.../04. Dice Roller/Project Files/
Object-Oriented+Python+2.zip	133.3 KB
/.../02. A World Full of Spiders/
04. The Endless Web.webm	40.2 MB
01. Everyone Loves Charlotte.webm	29.2 MB
03. Crawling Spiders.webm	20.5 MB
02. Installing Scrapy.webm	12.5 MB
/.../02. A World Full of Spiders/Project Files/
scraping_data_from_the_web.zip	38.2 KB
/.../03. Additional Scraping Tasks/Project Files/
scraping_data_from_the_web.zip	38.2 KB
/.../01. Introducing Data Analysis/
04. Getting Good Data is Hard.webm	39.4 MB
02. Data is Everywhere.webm	27.1 MB
01. Making Better Decisions with Data Analysis.webm	23.3 MB
03. Creating a Spreadsheet.webm	18.8 MB
/.../02. Data Cleaning/
01. Cleaning A Spreadsheet.webm	37.1 MB
04. Cleaning A CSV Part 2.webm	25.6 MB
05. Cleaning A CSV Part 3.webm	25.1 MB
06. Cleaning A CSV Part 4.webm	24.8 MB
03. Cleaning A CSV.webm	23.9 MB
02. Cleaning A Spreadsheet Part 2.webm	22.3 MB
/.../02. Chart Toppers/Project Files/
intro_matplotlib.zip	272.0 KB
/.../03. Data Eruption/Project Files/
intro_matplotlib.zip	272.0 KB
/.../02. Where and How is Big Data Used/
03. Domain Data Storage.webm	36.3 MB
04. Domain Computations.webm	30.7 MB
02. Types of Data.webm	23.5 MB
05. Domain Infrastructure.webm	18.3 MB
01. Where is it Being Used.webm	14.8 MB
/.../01. Meet Lists/
04. Indexing.webm	33.1 MB
01. Welcome.webm	17.0 MB
05. Deletion.webm	15.3 MB
03. Addition.webm	13.9 MB
02. Creation.webm	10.7 MB
/.../01. Instant Objects/
05. Design.webm	33.1 MB
01. What Are Objects And Classes.webm	31.4 MB
03. Methods.webm	14.7 MB
04. Method Arguments.webm	14.1 MB
02. Lets Make a Class!.webm	8.0 MB
/.../08. Object-Oriented Python/02. Inheritance/
03. Multiple Superclasses.webm	32.8 MB
04. Family Tree.webm	21.1 MB
01. Complex Relationships.webm	19.6 MB
02. Super-Duper!.webm	17.7 MB
/.../01. Introducing Data Scraping/
05. Being a Good Citizen.webm	32.7 MB
01. What is Data Scraping.webm	32.5 MB
03. Beautiful Soup.webm	28.5 MB
04. More Soup in the Tureen.webm	24.7 MB
02. Web Page Anatomy.webm	19.7 MB
/.../03. The Data Analysis Process/
04. Presenting Your Findings.webm	31.8 MB
01. Understanding Metrics.webm	30.1 MB
02. Defining Terms.webm	21.4 MB
03. Analyzing the Data.webm	15.1 MB
/.../03. Functions and Looping/
01. Functions.webm	31.8 MB
02. Returning Values.webm	26.0 MB
05. While Loops.webm	25.8 MB
03. Expecting Exceptions.webm	19.5 MB
04. Raising Exceptions.webm	16.7 MB
06. For Loops.webm	11.8 MB
/.../03. Big Data at Netflix/
01. What Problems Does Netflix Have.webm	30.9 MB
03. Wrapping Up.webm	29.0 MB
02. How Does Netflix Apply Big Data Tools to Solve these Problems.webm	18.2 MB
/.../01. Introduction to Machine Learning/
02. Supervised and Unsupervised Learning.webm	30.8 MB
01. What is Machine Learning.webm	23.5 MB
03. Machine Learning Frameworks.webm	19.8 MB
/.../03. Advanced Objects/
04. Subclassing Built-ins.webm	29.8 MB
03. Emulating Built-ins.webm	25.4 MB
06. Special Methods.webm	20.9 MB
01. Controlling Conversion.webm	20.7 MB
05. Constructicons.webm	20.2 MB
02. Math.webm	14.6 MB
/.../02. Types and Branching/
01. Numeric.webm	28.4 MB
06. Comparisons.webm	26.7 MB
05. If, Else and Elif.webm	24.0 MB
04. Booleans.webm	18.4 MB
02. Strings and Operators.webm	14.7 MB
03. String Methods.webm	14.0 MB
/.../04. All Together Now/
05. Cleaner Code Through Refactoring.webm	22.1 MB
04. Handle Exceptions.webm	20.9 MB
03. Branch and Loop.webm	20.2 MB
06. Wrapping Up.webm	19.7 MB
01. The Project.webm	18.3 MB
02. Gather Information.webm	13.2 MB
/.../03. Data Eruption/
02. Decision Process.webm	21.4 MB
01. Problem Discussion.webm	13.8 MB
03. Problem Summary and Presentation.webm	9.3 MB
/.../04. Dice Roller/
03. Giving a Hand.webm	20.7 MB
02. Comparing and Combining Dice.webm	18.6 MB
01. Project Breakdown.webm	17.9 MB
05. Where to Now.webm	16.5 MB
04. Yatzy Scoring.webm	14.8 MB
/.../02. Chart Toppers/
01. Our Data Set - Flower Power.webm	20.0 MB
03. Histogram.webm	18.9 MB
02. Scatter Plot.webm	18.1 MB
04. Box Plot.webm	15.4 MB
05. Saving Your Work.webm	12.6 MB
/.../01. Getting Started with Data Visualization/
04. Chart Types & Reasons to Use.webm	19.8 MB
01. Welcome to Matplotlib.webm	13.8 MB
03. The Legend of Charting.webm	11.3 MB
02. Getting Started with Charting.webm	10.7 MB
/.../03. Build an Application/
01. The Application.webm	19.5 MB
03. Display the List.webm	14.5 MB
02. Add Items.webm	10.6 MB
04. Wrap Up.webm	6.4 MB
/.../03. Writing a Classifier/
01. Installing scikit-learn using Anaconda.webm	18.9 MB
02. Loading a Dataset.webm	15.1 MB
03. Making Predictions with a Classifier.webm	11.9 MB
04. Machine Learning Review.webm	8.2 MB
/.../02. Getting to Know Your Data/
01. Summarizing Data Maximum, Minimum, Range.webm	18.8 MB
05. Visualizing Data.webm	16.8 MB
07. Charting Our Data Part 2.webm	13.2 MB
04. Is Our Data Normal.webm	11.2 MB
03. Analyzing Data Spread.webm	10.0 MB
02. Summarizing Data Mean, Median, Mode.webm	9.7 MB
06. Charting Our Data Part 1.webm	9.6 MB
/.../01. Understanding Cleaning Data/
03. Bad Data Types.webm	18.4 MB
02. Context.webm	18.2 MB
01. What Is Cleaning Data.webm	17.5 MB
/.../01. Introducing Dictionaries/
01. What is a dictionary.webm	16.3 MB
02. Dictionary Syntax and KeyValue Pairs.webm	12.8 MB
04. Update and Mutate Dictionaries.webm	6.6 MB
03. Accessing Keys and Values.webm	6.6 MB
/.../02. Using Lists/
02. Mutability.webm	15.2 MB
04. Multidimensional Lists.webm	14.9 MB
03. Split and Join.webm	14.1 MB
01. Iteration.webm	11.6 MB
/.../13. Introduction to pandas/1. Exploring pandas/
3.Until Next Time.webm	14.4 MB
0.Importing Data.webm	9.5 MB
2.Combining DataFrames.webm	9.4 MB
1.Manipulation.webm	5.7 MB
/.../03. Packing and Unpacking/
01. Packing.webm	14.1 MB
02. Packing, a Practical Example.webm	5.6 MB
04. Unpacking, a Practical Example.webm	5.2 MB
03. Unpacking.webm	4.7 MB
/.../02. Machine Learning Vocabulary/
01. Examples and Features.webm	13.4 MB
02. Labels and Classifiers.webm	11.4 MB
/.../01. Sequence Iteration/
01. Lets Chat About Sequences.webm	12.2 MB
02. Iterating with Basic For Loops.webm	9.1 MB
03. Iterating with Enumerate.webm	7.4 MB
04. Iterating with Ranges.webm	6.7 MB
/.../01. Introduction to Functions/
01. Recap of Functions.webm	12.0 MB
04. Lets Talk About Scope.webm	11.5 MB
02. Defining a Function.webm	4.1 MB
03. Calling a Function.webm	3.3 MB
/.../01. Introducing Data Analysis/Project Files/
marathon_results_2017.csv	4.2 MB
Total files 452