| 09. Pandas Exercise/2. Pandas Exercise Solution - I.mp4 | 132.99 MB |
| 09. Pandas Exercise/3. Pandas Exercise Solution - II.mp4 | 131.72 MB |
| 05. Python Exercises/2. Solutions.mp4 | 109.43 MB |
| 01. Introduction/1. What is Data analysis.mp4 | 95.77 MB |
| 06. Numpy/2. Numpy indexing and selection, Functions.mp4 | 93.62 MB |
| 18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 | 90.72 MB |
| 17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4 | 86.31 MB |
| 08. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4 | 85.44 MB |
| 06. Numpy/1. Creating NumPy array.mp4 | 85.15 MB |
| 08. Data Frame Pandas/13. sorting values.mp4 | 84.74 MB |
| 08. Data Frame Pandas/3. Data frame attributes and methods.mp4 | 83.4 MB |
| 01. Introduction/2. Introduction to Pandas.mp4 | 78.38 MB |
| 08. Data Frame Pandas/15. .loc() and .iloc() method.mp4 | 75.04 MB |
| 02. Installation and IDE/7. Getting started with Jupyter Lab.mp4 | 74.99 MB |
| 01. Introduction/3. Course FAQ.mp4 | 73.66 MB |
| 08. Data Frame Pandas/1. Introduction to Data Frame.mp4 | 73.01 MB |
| 14. Working with Text Data/3. More String methods.mp4 | 70.95 MB |
| 08. Data Frame Pandas/8. Filtering Data with one condition.mp4 | 68.55 MB |
| 11. Pandas Options/1. max_rows , max_columns.mp4 | 66.11 MB |
| 12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4 | 63.8 MB |
| 04. Python Crash Course [Optional]/6. Lists and tuples.mp4 | 62.73 MB |
| 06. Numpy/3. Some more Numpy Functions.mp4 | 61.94 MB |
| 13. Import and Export data from Pandas/1. read_csv() & to_csv() method.mp4 | 61.68 MB |
| 06. Numpy/8. Split, Concatenate, Tile and Repeat array.mp4 | 59.86 MB |
| 07. Series Pandas/6. Series attributes & methods.mp4 | 58.37 MB |
| 02. Installation and IDE/4. Anaconda + Conda Command.mp4 | 57.09 MB |
| 12. Visualize Data with Pandas/2. Pie, Histogram and Bar Chart.mp4 | 56.34 MB |
| 08. Data Frame Pandas/20. .apply() method on multiple column.mp4 | 55.58 MB |
| 02. Installation and IDE/1. Different ways of installation.mp4 | 53.41 MB |
| 07. Series Pandas/2. Introduction to Series.mp4 | 51.47 MB |
| 06. Numpy/5. List vs NumPy Array.mp4 | 51.15 MB |
| 16. Data Frame Multiindex/7. Transposing DataFrame.mp4 | 51 MB |
| 08. Data Frame Pandas/17. .astype() method - optimize memory requirement.mp4 | 49.88 MB |
| 04. Python Crash Course [Optional]/2. Python Basics - I.mp4 | 49.84 MB |
| 18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.mp4 | 48.73 MB |
| 16. Data Frame Multiindex/8. UnStack and Stack Data.mp4 | 48.66 MB |
| 15. Data Grouping/1. Importing Data Grouping.mp4 | 48.54 MB |
| 15. Data Grouping/4. Sum, Mean, Max, Min Method.mp4 | 48.31 MB |
| 07. Series Pandas/4. Create Series from CSV file.mp4 | 48.2 MB |
| 07. Series Pandas/3. Create Series from Python Object.mp4 | 47.72 MB |
| 02. Installation and IDE/2. Download and Install anaconda + Pandas.mp4 | 46.67 MB |
| 06. Numpy/7. Insert, Append and Delete NumPy array.mp4 | 45.16 MB |
| 08. Data Frame Pandas/5. Select one or more than one column.mp4 | 44.87 MB |
| 14. Working with Text Data/1. Getting started with Data.mp4 | 44.42 MB |
| 06. Numpy/4. Linear algebra with NumPy.mp4 | 43.83 MB |
| 14. Working with Text Data/2. Some String methods.mp4 | 43.43 MB |
| 14. Working with Text Data/4. Filtering Message with String.mp4 | 41.36 MB |
| 16. Data Frame Multiindex/4. Index - Meta Information.mp4 | 39.43 MB |
| 15. Data Grouping/5. .agg method.mp4 | 39.26 MB |
| 16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.mp4 | 39.08 MB |