Python Data Mastery

  Start Here

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• Course Syllabus and Details Start
• Welcome Video (20:21) Start
• How to Memorize Python Syntax (18:40) Start

  Setup

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• Install Anaconda (5:06) Start
• Quick Tour of Anaconda Navigator (2:22) Start
• Check Package Installation (3:35) Start
• A Quick Tour of the Spyder IDE (8:00) Start
• Install Anki (2:56) Start
• How to Change Your Keyboard Shortcuts in Spyder (4:30) Start

  Base Python, Part I

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• Data Types (33:40) Start
• Math basics in Python (33:46) Start
• Strings (44:06) Start
• Lists (54:38) Start
• Tuples (41:37) Start
• Practice Exercises: Base Python Part I (50:10) Start

  Anki Practice Tips

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• How to Increase the Number of New Anki Cards (4:42) Start
• How to Deal with Cards That are "Too Easy") (5:16) Start

  Base Python, Part II

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• Dictionaries (42:08) Start
• Booleans and comparison operations (35:49) Start
• If-Else statements (27:10) Start
• Loops and list comprehensions (75:22) Start
• Functions (37:02) Start
• Practice Exercises: Base Python Part II (3:25) Start

  Numpy

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• Numpy Array Basics (5:16) Start
• Numpy Array Attributes (9:35) Start
• Numpy Axes Explained (8:36) Start
• Numpy Seed, Explained (20:53) Start
• The Numpy Array Function (8:55) Start
• Numpy Ones, Zeros, Empty, and Full (36:15) Start
• Numpy Arange (22:02) Start
• Numpy Linspace (22:35) Start
• Numpy Reshape (23:48) Start
• Practice Exercises: Numpy Start

  Pandas Basics

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• Pandas Basics (8:01) Start
• Create Dataframes from Raw Data (11:15) Start
• Create Dataframes from CSV Files (5:19) Start
• Subset Data with the .iloc[] Method (23:34) Start
• Subset Data with the .loc[] Method (27:52) Start
• Practice Exercises: Pandas Basics Start

  Pandas Data Manipulation, Part I

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• Pandas assign (14:22) Start
• Pandas drop (15:07) Start
• Pandas dropna (12:40) Start
• Pandas fillna (10:06) Start
• Pandas filter (13:13) Start
• Pandas query (22:11) Start
• Pandas rename (13:04) Start
• Pandas sort values (21:00) Start
• Practice Exercises: Pandas Data Manipulation [part 1] Start

  Python Data Manipulation, Part II

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• Pandas agg (18:09) Start
• Pandas concat (13:18) Start
• Pandas groupby (18:20) Start
• Pandas merge (35:12) Start
• Pandas melt (17:27) Start
• Pandas pivot (12:40) Start
• Pandas set index (14:27) Start
• Pandas reset index (13:58) Start
• Practice Exercises: Pandas Data Manipulation [part 2] Start

  Seaborn, Part I

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• Seaborn Scatterplot (26:23) Start
• Seaborn Countplot (21:45) Start
• Seaborn Barplot (30:35) Start
• Seaborn Lineplot (14:46) Start
• Seaborn Boxplot (19:53) Start
• Seaborn Cheat Sheet Start
• Numpy Cheat Sheet Start
• Practice Exercises: Seaborn [part 1] Start

  Seaborn, Part II

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• Seaborn Facet Grid (26:41) Start
• Seaborn Histplot (histogram) Start
• Seaborn Distplot (14:51) Start
• Seaborn Heatmap (16:58) Start
• Seaborn KDEplot (16:15) Start
• Practice Exercises: Seaborn [part2] Start

  Putting the Pieces Together

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• Putting the Pieces Together (9:00) Start
• Pandas Method Chaining (7:44) Start
• Case Study: Data Science Techniques Using Combined Syntax (25:21) Start

  Data Analysis in Python

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• The Process of Data Analysis (18:06) Start
• Defining Analytical Objectives (10:49) Start
• Data Preparation (23:06) Start
• Data Preparation Case Study (36:08) Start
• Data Analysis Case Study: Supercars (43:27) Start

  Machine Learning Essentials with Scikit Learn

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• What is Machine Learning? (15:27) Start
• The Model Building Process (12:37) Start
• Basic Machine Learning Terminology (6:38) Start
• Supervised vs Unsupervised Learning (15:46) Start
• Regression vs Classification (11:48) Start
• Scikit Learn Code: Fit, Predict, Score (9:26) Start
• Train Test Split (5:50) Start
• Linear Regression with Scikit Learn (15:07) Start
• Logistic Regression with Scikit Learn (24:09) Start

  Extra Lessons: Numpy

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• Source Code: Numpy Extra Lessons Start
• Numpy Sort (17:47) Start
• Numpy Flatten (13:25) Start
• Numpy Random Randint (12:29) Start
• Numpy Random Uniform (12:22) Start
• Numpy Random Choice (24:30) Start
• Numpy Random Normal (20:37) Start
• Numpy Vstack (11:27) Start
• Numpy Hstack (10:10) Start
• Numpy Concatenate (16:26) Start
• Numpy Append (16:55) Start
• Numpy Repeat (12:19) Start
• Numpy Tile (16:46) Start
• Numpy Vsplit (12:24) Start
• Numpy Hsplit (12:16) Start
• Numpy Split (18:03) Start
• Numpy Min (13:37) Start
• Numpy Max (11:25) Start
• Numpy Mean (13:50) Start
• Numpy Median (15:13) Start
• Numpy Sum (10:44) Start
• Numpy Standard Deviation (16:09) Start
• Numpy Log (9:27) Start
• Numpy Exponential (9:31) Start
• Numpy Square Root (7:21) Start
• Numpy Power (13:43) Start
• Anki Cards: Numpy Extra Lessons Start

  Bonus Valut: Matplotlib

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• Matplotlib Histogram (6:44) Start
• Matplotlib Scatterplot (8:55) Start
• Matplotlib Bar Chart (9:46) Start
• Matplotlib Line Chart (8:14) Start
• Formatting Matplotlib Charts (9:02) Start
• Practice exercises: Matplotlib Start

  Extra Lessons: Seaborn

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• Code for Extra Lessons (Seaborn) Start
• Pairplot (15:02) Start
• Regplot (19:20) Start
• Violin Plot (15:04) Start
• Rugplot (16:20) Start
• Joint Plot (17:14) Start
• Pairgrid (18:24) Start
• How to Modify Plot Styles (18:13) Start
• How to Add Plot Titles (9:48) Start
• How to Add Axis Labels (9:33) Start
• Sequential Color Palettes (20:23) Start
• Diverging Color Palettes (13:58) Start

  Bonus Vault: Data Visualization Teardowns

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• USA Mover [Map Teardown] (6:37) Start
• Fed Balance Sheet [Line Chart Teardown] (4:40) Start
• US Cities, Municipal Debt [Bar Chart Teardown] (5:37) Start
• US House Seat Census Map [Map Teardown] (4:51) Start

  Bonus Vault: Example Data Projects

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• President Ranking Heatmap, Wikipedia Data (18:50) Start

  Bonus Vault: More Data Visualization Tips

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• 5 Visualization Mistakes that Make You Look Like an Amateur Start
• 5 Ways to Improve Your Visualizations Start

  BONUS: SQL Essentials

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• Setup: Download the "Chinook" Database Start
• Setup: Get DB Browser Start
• SELECT FROM Start
• WHERE Start
• GROUP BY Start
• ORDER BY Start
• INNER JOIN Start

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