| 23. Python Basics/7. Data Types Lists (Part 2).mp4 | 134.41 MB |
| 11. Cleaning Data/17. Coding Exercise 11 (Solution).mp4 | 129.71 MB |
| 17. ---PART 3 COMPREHENSIVE PROJECT CHALLENGE---/4. Olympic Medal Tables (Solution Part 2).mp4 | 128.78 MB |
| 23. Python Basics/18. Visualization with Matplotlib.mp4 | 124.22 MB |
| 19. Time Series Basics/5. Creating a customized DatetimeIndex with pd.date_range().mp4 | 114.64 MB |
| 8. Visualization with Matplotlib/3. Customization of Plots.mp4 | 102.99 MB |
| 14. Reshaping and Pivoting DataFrames/6. pd.crosstab().mp4 | 99.48 MB |
| 12. Merging, Joining, and Concatenating Data/13. Joining on different Column Names Indexes.mp4 | 95.32 MB |
| 25. Statistical Concepts/1. Statistics - Overview, Terms and Vocabulary.mp4 | 93.36 MB |
| 10. Importing Data/1. Importing csv-files with pd.read_csv.mp4 | 90.94 MB |
| 11. Cleaning Data/5. Detection of missing Values.mp4 | 89.4 MB |
| 11. Cleaning Data/10. Handling Removing Duplicates.srt | 88.7 MB |
| 11. Cleaning Data/10. Handling Removing Duplicates.mp4 | 88.67 MB |
| 12. Merging, Joining, and Concatenating Data/2. Adding Rows with append() and pd.concat() (Part 1).mp4 | 88.07 MB |
| 1. Getting Started/5. Installation of Anaconda.mp4 | 86.27 MB |
| 23. Python Basics/11. Conditional Statements (if, elif, else, while).mp4 | 86.04 MB |
| 19. Time Series Basics/7. Downsampling Time Series with resample() (Part 1).mp4 | 85.5 MB |
| 11. Cleaning Data/6. Removing missing values.mp4 | 85.5 MB |
| 15. Data Preparation and Feature Creation/8. Discretization and Binning with pd.qcut().mp4 | 85.39 MB |
| 16. Advanced Visualization with Seaborn/3. Categorical Plots.mp4 | 85.2 MB |
| 24. The Numpy Package/11. Visualization and (Linear) Regression.mp4 | 84.55 MB |
| 13. GroupBy Operations/16. Coding Exercise 13 (Solution).mp4 | 81.56 MB |
| 11. Cleaning Data/2. String Operations.mp4 | 80.88 MB |
| 12. Merging, Joining, and Concatenating Data/6. Outer Joins with merge().mp4 | 80.1 MB |
| 16. Advanced Visualization with Seaborn/4. Joint Plots Regression Plots.mp4 | 79.61 MB |
| 11. Cleaning Data/9. Detection of Duplicates.mp4 | 79.21 MB |
| 13. GroupBy Operations/13. stack() and unstack().mp4 | 78.81 MB |
| 20. Time Series Advanced Financial Time Series/12. Filling NA Values with bfill, ffill and interpolation.mp4 | 78.44 MB |
| 23. Python Basics/5. Data Types Strings.mp4 | 77.78 MB |
| 3. Pandas Basics (DataFrame Basics I)/16. Slicing Rows and Columns with loc (label-based indexing).mp4 | 77.55 MB |
| 4. Pandas Series and Index Objects/17. Changing Row Index with set_index() and reset_index().mp4 | 75.03 MB |
| 7. DataFrame Basics III/9. User-defined Functions with apply(), map() and applymap().mp4 | 74.33 MB |
| 10. Importing Data/3. Importing Data from Excel with pd.read_excel().mp4 | 73.9 MB |
| 24. The Numpy Package/5. Numpy Arrays Indexing and Slicing of multi-dimensional Arrays.mp4 | 73.64 MB |
| 15. Data Preparation and Feature Creation/6. Discretization and Binning with pd.cut() (Part 1).mp4 | 73.03 MB |
| 7. DataFrame Basics III/11. Hierarchical Indexing (Part 2).mp4 | 72.59 MB |
| 7. DataFrame Basics III/10. Hierarchical Indexing (Part 1).mp4 | 72.59 MB |
| 10. Importing Data/4. Importing messy Data from Excel with pd.read_excel().mp4 | 72.44 MB |
| 20. Time Series Advanced Financial Time Series/3. Importing Stock Price Data from Yahoo Finance (it still works!).mp4 | 71.92 MB |
| 13. GroupBy Operations/5. split-apply-combine applied.mp4 | 70.7 MB |
| 8. Visualization with Matplotlib/2. The plot() method.mp4 | 70.25 MB |
| 7. DataFrame Basics III/2. Sorting DataFrames with sort_index() and sort_values() (Version 1.0 Update).mp4 | 68.86 MB |
| 14. Reshaping and Pivoting DataFrames/2. Transposing Rows and Columns.mp4 | 68.43 MB |
| 11. Cleaning Data/1. First Inspection & Handling of inconsistent Data.mp4 | 68.24 MB |
| 24. The Numpy Package/7. Generating Random Numbers.mp4 | 67.53 MB |
| 4. Pandas Series and Index Objects/3. Analyzing Numerical Series with unique(), nunique() and value_counts().mp4 | 67.12 MB |
| 1. Getting Started/7. How to use Jupyter Notebooks.mp4 | 66.29 MB |
| 4. Pandas Series and Index Objects/7. Indexing and Slicing Pandas Series.mp4 | 66.22 MB |
| 5. DataFrame Basics II/5. Advanced Filtering with between(), isin() and ~.mp4 | 65.68 MB |
| 1. Getting Started/6. Opening a Jupyter Notebook.mp4 | 65.09 MB |