TeamTreehouse Beginning Data Science Track Thomas | 92330EE65359C4E5C2D49C0F2A8690839026E516

TeamTreehouse Beginning Data Science Track Thomas

Name	TeamTreehouse - Beginning Data Science (Track) [Thomas]	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	3.8 GB
Total Files	258
Last Seen	2025-07-17 23:40
Hash	92330EE65359C4E5C2D49C0F2A8690839026E516

/.../03. Array Programming/
01. New Way of Thinking.webm	57.9 MB
02. Universal Functions.webm	45.0 MB
03. Routines in Action.webm	40.3 MB
04. Plotting.webm	40.6 MB
05. No Problem.webm	18.8 MB
/
README.txt	2.3 KB
TeamTreehouse - Beginning Data Science (Track) [Thomas].jpg	161.0 KB
TeamTreehouse - Beginning Data Science (Track) [Thomas].png	1.1 MB
Beginning Data Science.md	6.8 KB
/01. Data Analysis Basics/
Data Analysis Basics.md	4.0 KB
/.../01. Introducing Data Analysis/
01. Making Better Decisions with Data Analysis.webm	23.3 MB
02. Data is Everywhere.webm	27.1 MB
03. Creating a Spreadsheet.webm	18.8 MB
04. Getting Good Data is Hard.webm	39.4 MB
/.../01. Introducing Data Analysis/Project Files/
marathon_results_2017.csv	4.2 MB
/.../02. Getting to Know Your Data/
01. Summarizing Data Maximum, Minimum, Range.webm	18.8 MB
02. Summarizing Data Mean, Median, Mode.webm	9.7 MB
03. Analyzing Data Spread.webm	10.0 MB
04. Is Our Data Normal.webm	11.2 MB
05. Visualizing Data.webm	16.8 MB
06. Charting Our Data Part 1.webm	9.6 MB
07. Charting Our Data Part 2.webm	13.2 MB
/.../03. The Data Analysis Process/
01. Understanding Metrics.webm	30.1 MB
02. Defining Terms.webm	21.4 MB
03. Analyzing the Data.webm	15.1 MB
04. Presenting Your Findings.webm	31.8 MB
/02. Python Basics/
Python Basics.md	5.8 KB
/.../01. Meet Python/
01. Welcome.webm	37.6 MB
02. Running Scripts.webm	14.9 MB
03. The Python Shell.webm	21.5 MB
04. Syntax and Errors.webm	24.2 MB
05. Variables.webm	21.3 MB
06. Code Challenges.md	0.9 KB
07. Input and Coding Style.webm	27.1 MB
/.../02. Types and Branching/
01. Numeric.webm	28.4 MB
02. Strings and Operators.webm	14.7 MB
03. String Methods.webm	14.0 MB
04. Booleans.webm	18.4 MB
05. If, Else and Elif.webm	24.0 MB
06. Comparisons.webm	26.7 MB
/.../03. Functions and Looping/
01. Functions.webm	31.8 MB
02. Returning Values.webm	26.0 MB
03. Expecting Exceptions.webm	19.5 MB
04. Raising Exceptions.webm	16.7 MB
05. While Loops.webm	25.8 MB
06. For Loops.webm	11.8 MB
/.../04. All Together Now/
01. The Project.webm	18.3 MB
02. Gather Information.webm	13.2 MB
03. Branch and Loop.webm	20.2 MB
04. Handle Exceptions.webm	20.9 MB
05. Cleaner Code Through Refactoring.webm	22.1 MB
06. Wrapping Up.webm	19.7 MB
/03. Introducing Lists/
Introducing Lists.md	3.6 KB
/.../01. Meet Lists/
01. Welcome.webm	17.0 MB
02. Creation.webm	10.7 MB
03. Addition.webm	13.9 MB
04. Indexing.webm	33.1 MB
05. Deletion.webm	15.3 MB
/.../02. Using Lists/
01. Iteration.webm	11.6 MB
02. Mutability.webm	15.2 MB
03. Split and Join.webm	14.1 MB
04. Multidimensional Lists.webm	14.9 MB
/.../03. Build an Application/
01. The Application.webm	19.5 MB
02. Add Items.webm	10.6 MB
03. Display the List.webm	14.5 MB
04. Wrap Up.webm	6.4 MB
/04. Introducing Dictionaries/
Introducing Dictionaries.md	3.0 KB
/.../01. Introducing Dictionaries/
01. What is a dictionary.webm	16.3 MB
02. Dictionary Syntax and KeyValue Pairs.webm	12.8 MB
03. Accessing Keys and Values.webm	6.6 MB
04. Update and Mutate Dictionaries.webm	6.6 MB
/.../02. Iterating and Packing with Dictionaries/
01. Iterate over Dictionaries.webm	6.6 MB
02. Packing with Dictionaries.webm	6.5 MB
03. Unpacking with Dictionaries.md	1.2 KB
/05. Python Sequences/
Python Sequences.md	3.6 KB
/.../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
/.../02. Sequence Operations/
01. Sequence Operations.webm	8.2 MB
02. Slices.webm	7.3 MB
03. Len, Min, and Max.webm	4.6 MB
04. Membership Testing.webm	4.3 MB
05. Count and Index.webm	7.2 MB
06. Code Samples Membership Testing, Count, and Index.md	1.2 KB
07. Concatenation and Multiplication.webm	4.6 MB
08. Sequence Operations Cheat Sheet.md	2.8 KB
/06. Functions, Packing, and Unpacking/
Functions, Packing, and Unpacking.md	4.3 KB
/.../01. Introduction to Functions/
01. Recap of Functions.webm	12.0 MB
02. Defining a Function.webm	4.1 MB
03. Calling a Function.webm	3.3 MB
04. Lets Talk About Scope.webm	11.5 MB
/.../02. Getting Info In and Out of Functions/
01. Moving Forward.webm	5.1 MB
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
05. Function Gotchas.md	1.6 KB
06. Multiple Arguments and Parameters.webm	6.3 MB
/.../03. Packing and Unpacking/
01. Packing.webm	14.1 MB
02. Packing, a Practical Example.webm	5.6 MB
03. Unpacking.webm	4.7 MB
04. Unpacking, a Practical Example.webm	5.2 MB
/07. Introducing Tuples/
Introducing Tuples.md	1.9 KB
/.../Getting to Know Tuples/
01. Introducing Tuples.webm	8.2 MB
02. Recap.webm	9.4 MB
03. Tuples vs. Lists.md	2.1 KB
04. Tuple Syntax.md	2.6 KB
/08. Object-Oriented Python/
Object-Oriented Python.md	7.3 KB
/.../01. Instant Objects/
01. What Are Objects And Classes.webm	31.4 MB
02. Lets Make a Class!.webm	8.0 MB
03. Methods.webm	14.7 MB
04. Method Arguments.webm	14.1 MB
05. Design.webm	33.1 MB
/.../01. Instant Objects/Project Files/
Object-Oriented+Python+2.zip	133.3 KB
/02. Inheritance/
01. Complex Relationships.webm	19.6 MB
02. Super-Duper!.webm	17.7 MB
03. Multiple Superclasses.webm	32.8 MB
04. Family Tree.webm	21.1 MB
/02. Inheritance/Project Files/
Object-Oriented+Python+2.zip	133.3 KB
/.../03. Advanced Objects/
01. Controlling Conversion.webm	20.7 MB
02. Math.webm	14.6 MB
03. Emulating Built-ins.webm	25.4 MB
04. Subclassing Built-ins.webm	29.8 MB
05. Constructicons.webm	20.2 MB
06. Special Methods.webm	20.9 MB
/.../03. Advanced Objects/Project Files/
Object-Oriented+Python+2.zip	133.3 KB
/.../04. Dice Roller/
01. Project Breakdown.webm	17.9 MB
02. Comparing and Combining Dice.webm	18.6 MB
03. Giving a Hand.webm	20.7 MB
04. Yatzy Scoring.webm	14.8 MB
05. Where to Now.webm	16.5 MB
/.../04. Dice Roller/Project Files/
Object-Oriented+Python+2.zip	133.3 KB
/09. Learning SQL/
Learning SQL.md	0.5 KB
/10. Introduction to Anaconda/
01. What is Anaconda and why use it.webm	22.8 MB
02. Installing Anaconda.webm	18.5 MB
03. Using conda to Install Packages.webm	9.8 MB
04. miniconda.webm	21.4 MB
Introduction to Anaconda.md	1.2 KB
/11. Jupyter Notebooks/
01. Installation and Creating Your First Notebook.webm	18.5 MB
02. Running Code in Cells.webm	13.0 MB
03. Graphs and Charts.webm	26.5 MB
04. Other Languages.webm	21.2 MB
Jupyter Notebooks.md	1.3 KB
/12. Introduction to NumPy/
Introduction to NumPy.md	4.5 KB
/.../01. Meet NumPy/
01. Welcome.webm	48.5 MB
02. Getting Setup.webm	18.3 MB
03. Introducing Arrays.webm	40.3 MB
04. Creating the Study Log.webm	30.5 MB
05. Multidimensional Arrays.webm	37.0 MB
/.../01. Meet NumPy/Project Files/
python-intro-to-numpy.zip	59.1 KB
/.../02. Array Organization/
01. Indexing.webm	51.4 MB
02. Boolean Array Indexing.webm	47.6 MB
03. Slicing.webm	29.6 MB
04. Manipulation.webm	45.6 MB
/.../02. Array Organization/Project Files/
python-intro-to-numpy.zip	59.1 KB
/.../03. Array Programming/Project Files/
python-intro-to-numpy.zip	59.1 KB
/0. Meet pandas/
0.Welcome.webm	41.7 MB
1.Meet Series.webm	12.6 MB
2.Vectorization and Broadcasting Review.webm	14.4 MB
3.Meet DataFrames.webm	12.2 MB
4.Onwards.webm	5.0 MB
/0. Meet pandas/Instruction/
About This Course.png	307.9 KB
Accessing a DataFrame.png	735.2 KB
Accessing a Series.png	696.3 KB
Creating a DataFrame.png	476.2 KB
Creating a Series.png	523.7 KB
Series Vectorization and Broadcasting.png	566.7 KB
/0. Meet pandas/Project Files/
python-introducing-pandas-1.2.0.zip	90.4 KB
/1. Exploring pandas/
0.Importing Data.webm	9.5 MB
1.Manipulation.webm	5.7 MB
2.Combining DataFrames.webm	9.4 MB
3.Until Next Time.webm	14.4 MB
/1. Exploring pandas/Instruction/
Combining DataFrames.png	1.3 MB
Exploration Methods.png	1.3 MB
Grouping.png	968.6 KB
Handling Duplicated and Missing Data.png	883.7 KB
Manipulating Text.png	742.8 KB
Manipulation Techniques.png	1.3 MB
Optional Challenge #1 - Top Referrers.png	403.4 KB
Optional Challenge #2 - Update Users.png	409.0 KB
Optional Challenge #3 - Verified Email List.png	429.4 KB
Selecting Data.png	769.6 KB
/14. Preparing Data for Analysis/
Preparing Data for Analysis.md	2.4 KB
/.../01. Understanding Cleaning Data/
01. What Is Cleaning Data.webm	17.5 MB
02. Context.webm	18.2 MB
03. Bad Data Types.webm	18.4 MB
/.../02. Data Cleaning/
01. Cleaning A Spreadsheet.webm	37.1 MB
02. Cleaning A Spreadsheet Part 2.webm	22.3 MB
03. Cleaning A CSV.webm	23.9 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
/.../02. Data Cleaning/Project Files/
preparing-data-for-analysis-student.zip	38.9 KB
/15. Introduction to Data Visualization with Matplotlib/
Introduction to Data Visualization with Matplotlib.md	4.6 KB
/.../01. Getting Started with Data Visualization/
01. Welcome to Matplotlib.webm	13.8 MB
02. Getting Started with Charting.webm	10.7 MB
03. The Legend of Charting.webm	11.3 MB
04. Chart Types & Reasons to Use.webm	19.8 MB
/.../01. Getting Started with Data Visualization/Project Files/
intro_matplotlib.zip	272.0 KB
/.../02. Chart Toppers/
01. Our Data Set - Flower Power.webm	20.0 MB
02. Scatter Plot.webm	18.1 MB
03. Histogram.webm	18.9 MB
04. Box Plot.webm	15.4 MB
05. Saving Your Work.webm	12.6 MB
/.../02. Chart Toppers/Project Files/
intro_matplotlib.zip	272.0 KB
/.../03. Data Eruption/
01. Problem Discussion.webm	13.8 MB
02. Decision Process.webm	21.4 MB
03. Problem Summary and Presentation.webm	9.3 MB
/.../03. Data Eruption/Project Files/
intro_matplotlib.zip	272.0 KB
/16. More Visualization/
More Visualization.md	1.0 KB
/17. Scraping Data From the Web/
Scraping Data From the Web.md	4.2 KB
/.../01. Introducing Data Scraping/
01. What is Data Scraping.webm	32.5 MB
02. Web Page Anatomy.webm	19.7 MB
03. Beautiful Soup.webm	28.5 MB
04. More Soup in the Tureen.webm	24.7 MB
05. Being a Good Citizen.webm	32.7 MB
/.../01. Introducing Data Scraping/Project Files/
scraping_data_from_the_web.zip	38.2 KB
/.../02. A World Full of Spiders/
01. Everyone Loves Charlotte.webm	29.2 MB
02. Installing Scrapy.webm	12.5 MB
03. Crawling Spiders.webm	20.5 MB
04. The Endless Web.webm	40.2 MB
/.../02. A World Full of Spiders/Project Files/
scraping_data_from_the_web.zip	38.2 KB
/.../03. Additional Scraping Tasks/
01. An Intelligent Spider.webm	20.8 MB
02. Scraping APIs.webm	24.0 MB
03. Using Scrapers for Site Testing.webm	23.3 MB
04. Common Issues with Data Scraping.md	1.7 KB
05. Wrapping Up.webm	7.7 MB
/.../03. Additional Scraping Tasks/Project Files/
scraping_data_from_the_web.zip	38.2 KB
/18. Data from APIs/
01. Accessing an API with Python.webm	33.9 MB
02. Gathering Weather Data.webm	8.7 MB
03. Calling the API.webm	26.7 MB
04. Saving the Data.webm	23.4 MB
Data from APIs.md	1.0 KB
/19. Introduction to Big Data/
Introduction to Big Data.md	4.3 KB
/.../01. What is Big Data/
01. Welcome.webm	20.1 MB
02. Characteristics of Big Data.webm	10.5 MB
03. The Importance of Big Data.webm	23.9 MB
04. Exploring Our New Problems.webm	43.3 MB
/.../02. Where and How is Big Data Used/
01. Where is it Being Used.webm	14.8 MB
02. Types of Data.webm	23.5 MB
03. Domain Data Storage.webm	36.3 MB
04. Domain Computations.webm	30.7 MB
05. Domain Infrastructure.webm	18.3 MB
/.../03. Big Data at Netflix/
01. What Problems Does Netflix Have.webm	30.9 MB
02. How Does Netflix Apply Big Data Tools to Solve these Problems.webm	18.2 MB
03. Wrapping Up.webm	29.0 MB
/20. Machine Learning Basics/
Machine Learning Basics.md	3.4 KB
/.../01. Introduction to Machine Learning/
01. What is Machine Learning.webm	23.5 MB
02. Supervised and Unsupervised Learning.webm	30.8 MB
03. Machine Learning Frameworks.webm	19.8 MB
/.../02. Machine Learning Vocabulary/
01. Examples and Features.webm	13.4 MB
02. Labels and Classifiers.webm	11.4 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
/.../03. Writing a Classifier/Project Files/
ML-machine-learning-basics.zip	0.6 KB
/Common Issues with Data Scraping/
Common Issues with Data Scraping.md	1.7 KB
Total files 258