| 1. Introduction | |||
| 1. What is Data analysis.mp4 | 95.77 MB | ||
| 1. What is Data analysis.vtt | 6.07 KB | ||
| 2. Introduction to Pandas.mp4 | 78.38 MB | ||
| 2. Introduction to Pandas.vtt | 4.53 KB | ||
| 3. Course FAQ.mp4 | 73.66 MB | ||
| 3. Course FAQ.vtt | 5.45 KB | ||
| 4. Pandas.html | 136 B | ||
| 10. Panel Pandas | |||
| 1. Warning - Panel Data type.mp4 | 8.62 MB | ||
| 1. Warning - Panel Data type.vtt | 4.2 KB | ||
| 11. Pandas Options | |||
| 1. max_rows , max_columns.mp4 | 66.11 MB | ||
| 1. max_rows , max_columns.vtt | 10.09 KB | ||
| 1.1 Pandas Settings.zip.zip | 9.97 KB | ||
| 2. precision.mp4 | 13.02 MB | ||
| 2. precision.vtt | 2.79 KB | ||
| 12. Visualize Data with Pandas | |||
| 1. Display Stock data with Line Chart.mp4 | 63.8 MB | ||
| 1. Display Stock data with Line Chart.vtt | 13.53 KB | ||
| 2. Pie, Histogram and Bar Chart.mp4 | 56.34 MB | ||
| 2. Pie, Histogram and Bar Chart.vtt | 10.69 KB | ||
| 3. Data Visualization.html | 136 B | ||
| 13. Import and Export data from Pandas | |||
| 1. read_csv() & to_csv() method.mp4 | 61.68 MB | ||
| 1. read_csv() & to_csv() method.vtt | 11.88 KB | ||
| 14. Working with Text Data | |||
| 1. Getting started with Data.mp4 | 44.42 MB | ||
| 1. Getting started with Data.vtt | 5.72 KB | ||
| 2. Some String methods.mp4 | 43.43 MB | ||
| 2. Some String methods.vtt | 8.44 KB | ||
| 3. More String methods.mp4 | 70.95 MB | ||
| 3. More String methods.vtt | 14.57 KB | ||
| 4. Filtering Message with String.mp4 | 41.36 MB | ||
| 4. Filtering Message with String.vtt | 7.62 KB | ||
| 5. Splitting Text.mp4 | 29.46 MB | ||
| 5. Splitting Text.vtt | 6.01 KB | ||
| 6. Processing on Column names.mp4 | 10.1 MB | ||
| 6. Processing on Column names.vtt | 2.26 KB | ||
| 15. Data Grouping | |||
| 1. Importing Data Grouping.mp4 | 48.54 MB | ||
| 1. Importing Data Grouping.vtt | 5.51 KB | ||
| 2. Getting Group.mp4 | 37.42 MB | ||
| 2. Getting Group.vtt | 6.7 KB | ||
| 3. Size, First and Last Method.mp4 | 31.05 MB | ||
| 3. Size, First and Last Method.vtt | 5.73 KB | ||
| 4. Sum, Mean, Max, Min Method.mp4 | 48.31 MB | ||
| 4. Sum, Mean, Max, Min Method.vtt | 7.67 KB | ||
| 5. .agg method.mp4 | 39.26 MB | ||
| 5. .agg method.vtt | 7.45 KB | ||
| 16. Data Frame Multiindex | |||
| 1. Import Data - Multiindex.mp4 | 9.58 MB | ||
| 1. Import Data - Multiindex.vtt | 2.93 KB | ||
| 2. Set multiple column as index.mp4 | 23.38 MB | ||
| 2. Set multiple column as index.vtt | 4.77 KB | ||
| 3. Sorting MultiIndex.mp4 | 32.01 MB | ||
| 3. Sorting MultiIndex.vtt | 5.88 KB | ||
| 4. Index - Meta Information.mp4 | 39.43 MB | ||
| 4. Index - Meta Information.vtt | 5.91 KB | ||
| 5. Change Index names.mp4 | 10.22 MB | ||
| 5. Change Index names.vtt | 1.6 KB | ||
| 6. Fetch data from MultiIndex Dataframe.mp4 | 39.08 MB | ||
| 6. Fetch data from MultiIndex Dataframe.vtt | 7.13 KB | ||
| 7. Transposing DataFrame.mp4 | 51 MB | ||
| 7. Transposing DataFrame.vtt | 8.43 KB | ||
| 8. UnStack and Stack Data.mp4 | 48.66 MB | ||
| 8. UnStack and Stack Data.vtt | 7.97 KB | ||
| 9. Pivot and Pivot_table Method.mp4 | 38.91 MB | ||
| 9. Pivot and Pivot_table Method.vtt | 6.97 KB | ||
| 17. Working with Time series data | |||
| 1. Python Date and Datetime module.mp4 | 36.19 MB | ||
| 1. Python Date and Datetime module.vtt | 7.99 KB | ||
| 2. Pandas Timestamp and Datetimeindex object.mp4 | 86.31 MB | ||
| 2. Pandas Timestamp and Datetimeindex object.vtt | 16.65 KB | ||
| 3. Generate Time sequence.vtt | 10.44 KB | ||
| 18. Data cleaning | |||
| 1. Data cleaning - Youtube Dataset (warm up) Part - 1.mp4 | 18.5 MB | ||
| 1. Data cleaning - Youtube Dataset (warm up) Part - 1.vtt | 5.25 KB | ||
| 1.1 Data Cleaning.zip.zip | 261 KB | ||
| 2. Data cleaning - Youtube Channel Dataset Part - 2.mp4 | 48.73 MB | ||
| 2. Data cleaning - Youtube Channel Dataset Part - 2.vtt | 8.91 KB | ||
| 3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 | 90.72 MB | ||
| 3. Data cleaning - Youtube Channel Dataset Part - 3.vtt | 14.2 KB | ||
| 19. Appendix Numpy - Numerical Python Library | |||
| 1. Notes.html | 222 B | ||
| 2. Installation and IDE | |||
| 1. Different ways of installation.mp4 | 53.41 MB | ||
| 1. Different ways of installation.vtt | 3.31 KB | ||
| 10. Installation.html | 136 B | ||
| 2. Download and Install anaconda + Pandas.mp4 | 46.67 MB | ||
| 2. Download and Install anaconda + Pandas.vtt | 7.3 KB | ||
| 2.1 Anaconda PythonR Distribution - Anaconda.html | 99 B | ||
| 2.1 MacOS installation.html | 111 B | ||
| 2.1 Windows Installation.html | 112 B | ||
| 2.2 Anaconda PythonR Distribution - Anaconda.html | 99 B | ||
| 2.2 Linux Installation.html | 110 B | ||
| 2.2 Windows Installation.html | 112 B | ||
| 2.3 Anaconda PythonR Distribution - Anaconda.html | 99 B | ||
| 2.3 Linux Installation.html | 110 B | ||
| 2.3 MacOS installation.html | 111 B | ||
| 2.3 Windows Installation.html | 112 B | ||
| 2.4 Anaconda PythonR Distribution - Anaconda.html | 99 B | ||
| 2.4 Linux Installation.html | 110 B | ||
| 2.4 MacOS installation.html | 111 B | ||
| 2.4 Windows Installation.html | 112 B | ||
| 3. Troubleshooting 'conda' is not recognized as an internal or external command.html | 1.08 KB | ||
| 4. Anaconda + Conda Command.mp4 | 57.09 MB | ||
| 4. Anaconda + Conda Command.vtt | 8.51 KB | ||
| 4.1 Conda utility documentation.html | 88 B | ||
| 5. Conda Cheatsheet.html | 321 B | ||
| 5.1 Conda Cheatsheet.html | 171 B | ||
| 6. anaconda, conda & pandas Update.html | 412 B | ||
| 6.1 Updating from older versions.html | 119 B | ||
| 7. Getting started with Jupyter Lab.mp4 | 74.99 MB | ||
| 7. Getting started with Jupyter Lab.vtt | 14.8 KB | ||
| 7.1 Jupyter Lab Documentation.html | 105 B | ||
| 8. Jupyter Notebook cheatsheet.html | 290 B | ||
| 8.1 Jupyter Notebook cheatsheet.html | 150 B | ||
| 9. Import Library.mp4 | 23.53 MB | ||
| 9. Import Library.vtt | 8.68 KB | ||
| 9.1 Import Library.zip.zip | 526 B | ||
| 9.1 Python Import Documentation.html | 108 B | ||
| 9.2 Import Library.zip.zip | 526 B | ||
| 9.2 Pandas Documentation.html | 106 B | ||
| 9.3 Import Library.zip.zip | 526 B | ||
| 9.3 Pandas Documentation.html | 106 B | ||
| 9.3 Python Import Documentation.html | 108 B | ||
| 20. Bonus Lecture | |||
| 1. Bonus Lecture.html | 664 B | ||
| 3. Code Download | |||
| 1. Python Code.html | 103 B | ||
| 1.1 Pandas.pdf.pdf | 650.32 KB | ||
| 1.1 code.zip.zip | 13.66 MB | ||
| 1.2 Pandas.pdf.pdf | 650.32 KB | ||
| 1.2 code.zip.zip | 13.66 MB | ||
| 4. Python Crash Course [Optional] | |||
| 1. Introduction.mp4 | 34.27 MB | ||
| 1. Introduction.vtt | 2.35 KB | ||
| 1.1 Python Crash Course.zip.zip | 3.13 KB | ||
| 10. Functions.mp4 | 26.43 MB | ||
| 10. Functions.vtt | 8.07 KB | ||
| 11. Python - 1.html | 136 B | ||
| 12. Python - 2.html | 136 B | ||
| 2. Python Basics - I.mp4 | 49.84 MB | ||
| 2. Python Basics - I.vtt | 17.14 KB | ||
| 3. Data types, Numbers, String.html | 136 B | ||
| 4. Python Basics - II.mp4 | 28.25 MB | ||
| 4. Python Basics - II.vtt | 8.76 KB | ||
| 5. Loops & Decision making.html | 136 B | ||
| 6. Lists and tuples.mp4 | 62.73 MB | ||
| 6. Lists and tuples.vtt | 17.2 KB | ||
| 7. Lists and tuples.html | 136 B | ||
| 8. Dictionary and set.mp4 | 35.31 MB | ||
| 8. Dictionary and set.vtt | 11.39 KB | ||
| 9. Dictionary and set.html | 136 B | ||
| 5. Python Exercises | |||
| 1. Exercise Overview.mp4 | 29.16 MB | ||
| 1. Exercise Overview.vtt | 5.02 KB | ||
| 1.1 Python Exercise.zip.zip | 2.77 KB | ||
| 2. Solutions.mp4 | 109.43 MB | ||
| 2. Solutions.vtt | 21.91 KB | ||
| 6. Numpy | |||
| 1. Creating NumPy array.mp4 | 85.15 MB | ||
| 1. Creating NumPy array.vtt | 17.71 KB | ||
| 1.1 NumPy cheatsheet.html | 146 B | ||
| 1.1 Numpy Quick tutorial.html | 114 B | ||
| 1.1 Numpy.zip.zip | 50.78 KB | ||
| 1.2 NumPy cheatsheet.html | 146 B | ||
| 1.2 Numpy.zip.zip | 50.78 KB | ||
| 1.3 NumPy cheatsheet.html | 146 B | ||
| 1.3 Numpy Quick tutorial.html | 114 B | ||
| 1.3 Numpy.zip.zip | 50.78 KB | ||
| 2. Numpy indexing and selection, Functions.mp4 | 93.62 MB | ||
| 2. Numpy indexing and selection, Functions.vtt | 17.39 KB | ||
| 3. Some more Numpy Functions.mp4 | 61.94 MB | ||
| 3. Some more Numpy Functions.vtt | 12.83 KB | ||
| 4. Linear algebra with NumPy.mp4 | 43.83 MB | ||
| 4. Linear algebra with NumPy.vtt | 9.49 KB | ||
| 5. List vs NumPy Array.mp4 | 51.15 MB | ||
| 5. List vs NumPy Array.vtt | 12.21 KB | ||
| 6. Views vs Copy - Numpy Array.mp4 | 34.75 MB | ||
| 6. Views vs Copy - Numpy Array.vtt | 8.08 KB | ||
| 7. Insert, Append and Delete NumPy array.mp4 | 45.16 MB | ||
| 7. Insert, Append and Delete NumPy array.vtt | 10.68 KB | ||
| 8. Split, Concatenate, Tile and Repeat array.mp4 | 59.86 MB | ||
| 8. Split, Concatenate, Tile and Repeat array.vtt | 12.78 KB | ||
| 9. NumPy.html | 136 B | ||
| 7. Series Pandas | |||
| 1. Series.html | 380 B | ||
| 10. inplace parameter, sort_values & sort_index.mp4 | 33.4 MB | ||
| 10. inplace parameter, sort_values & sort_index.vtt | 8.34 KB | ||
| 10.1 sorting index.html | 149 B | ||
| 10.1 sorting.html | 150 B | ||
| 10.2 sorting index.html | 149 B | ||
| 10.2 sorting.html | 150 B | ||
| 11. inplace parameter, sort_values & sort_index.html | 136 B | ||
| 12. Apply Python built in function on Series.mp4 | 13.95 MB | ||
| 12. Apply Python built in function on Series.vtt | 3.12 KB | ||
| 13. Extract Value from Series.mp4 | 25.76 MB | ||
| 13. Extract Value from Series.vtt | 7.1 KB | ||
| 14. Extract Value from Series.html | 136 B | ||
| 15. .value_counts() Method.mp4 | 7.7 MB | ||
| 15. .value_counts() Method.vtt | 2.04 KB | ||
| 15.1 Pandas value_count method.html | 173 B | ||
| 16. .apply() and .map() method.mp4 | 33.3 MB | ||
| 16. .apply() and .map() method.vtt | 9.17 KB | ||
| 16.1 Pandas.Series.apply.html | 144 B | ||
| 16.1 Pandas.Series.map.html | 160 B | ||
| 16.2 Pandas.Series.apply.html | 144 B | ||
| 16.2 Pandas.Series.map.html | 160 B | ||
| 17. .apply() and .map() method.html | 136 B | ||
| 18. Series.html | 136 B | ||
| 2. Introduction to Series.mp4 | 51.47 MB | ||
| 2. Introduction to Series.vtt | 3.16 KB | ||
| 3. Create Series from Python Object.mp4 | 47.72 MB | ||
| 3. Create Series from Python Object.vtt | 11.5 KB | ||
| 3.1 Series constructor.html | 138 B | ||
| 4. Create Series from CSV file.mp4 | 48.2 MB | ||
| 4. Create Series from CSV file.vtt | 9.92 KB | ||
| 4.1 Read CSV file.html | 140 B | ||
| 5. Create Series Object.html | 136 B | ||
| 6. Series attributes & methods.mp4 | 58.37 MB | ||
| 6. Series attributes & methods.vtt | 13.63 KB | ||
| 7. Series attributes & methods.html | 136 B | ||
| 8. Label indexing.mp4 | 19.43 MB | ||
| 8. Label indexing.vtt | 4.92 KB | ||
| 9. Label indexing.html | 136 B | ||
| 8. Data Frame Pandas | |||
| 1. Introduction to Data Frame.mp4 | 73.01 MB | ||
| 1. Introduction to Data Frame.vtt | 5.01 KB | ||
| 10. Filtering Data with .isin() method.mp4 | 37.2 MB | ||
| 10. Filtering Data with .isin() method.vtt | 5.79 KB | ||
| 11. Filtering Data with .between() method.mp4 | 28.55 MB | ||
| 11. Filtering Data with .between() method.vtt | 4.14 KB | ||
| 12. unique() & nunique() method.mp4 | 29.92 MB | ||
| 12. unique() & nunique() method.vtt | 5.19 KB | ||
| 13. sorting values.mp4 | 84.74 MB | ||
| 13. sorting values.vtt | 10.24 KB | ||
| 14. sort index and inplace parameter.mp4 | 37.7 MB | ||
| 14. sort index and inplace parameter.vtt | 5.6 KB | ||
| 15. .loc() and .iloc() method.mp4 | 75.04 MB | ||
| 15. .loc() and .iloc() method.vtt | 15.09 KB | ||
| 16. .ix() method.mp4 | 22.01 MB | ||
| 16. .ix() method.vtt | 4.57 KB | ||
| 17. .astype() method - optimize memory requirement.mp4 | 49.88 MB | ||
| 17. .astype() method - optimize memory requirement.vtt | 8.63 KB | ||
| 18. set_index() change index column.mp4 | 34.22 MB | ||
| 18. set_index() change index column.vtt | 4.8 KB | ||
| 19. .apply() method on single column.mp4 | 34.76 MB | ||
| 19. .apply() method on single column.vtt | 6.15 KB | ||
| 2. Create Data Frame - random data + from File.mp4 | 85.44 MB | ||
| 2. Create Data Frame - random data + from File.vtt | 11.96 KB | ||
| 2.1 Read_CSV.pdf.pdf | 107.31 KB | ||
| 20. .apply() method on multiple column.mp4 | 55.58 MB | ||
| 20. .apply() method on multiple column.vtt | 8.84 KB | ||
| 21. Fetch random sample.mp4 | 29.02 MB | ||
| 21. Fetch random sample.vtt | 4.91 KB | ||
| 3. Data frame attributes and methods.mp4 | 83.4 MB | ||
| 3. Data frame attributes and methods.vtt | 13.37 KB | ||
| 4. Adding new column.mp4 | 30.55 MB | ||
| 4. Adding new column.vtt | 4.12 KB | ||
| 5. Select one or more than one column.mp4 | 44.87 MB | ||
| 5. Select one or more than one column.vtt | 7.74 KB | ||
| 5.1 Select Column.pdf.pdf | 85.25 KB | ||
| 6. Broadcasting operation.mp4 | 28.46 MB | ||
| 6. Broadcasting operation.vtt | 4.29 KB | ||
| 7. Drop missing row or column.mp4 | 35.95 MB | ||
| 7. Drop missing row or column.vtt | 8.92 KB | ||
| 8. Filtering Data with one condition.mp4 | 68.55 MB | ||
| 8. Filtering Data with one condition.vtt | 11.31 KB | ||
| 9. Filtering Data with multiple condition.mp4 | 38.81 MB | ||
| 9. Filtering Data with multiple condition.vtt | 6.92 KB | ||
| 9.1 Truth Table for AND and OR operation.html | 157 B | ||
| 9. Pandas Exercise | |||
| 1. Exercise Overview Google App store dataset.mp4 | 28.68 MB | ||
| 1. Exercise Overview Google App store dataset.vtt | 3.7 KB | ||
| 1.1 Pandas Exercise.zip.zip | 309.55 KB | ||
| 2. Pandas Exercise Solution - I.mp4 | 132.99 MB | ||
| 2. Pandas Exercise Solution - I.vtt | 16.75 KB | ||
| 3. Pandas Exercise Solution - II.mp4 | 131.72 MB | ||
| 3. Pandas Exercise Solution - II.vtt | 15.51 KB | ||
| [CourseClub.Me].url | 48 B | ||
| [DesireCourse.Net].url | 51 B | ||
| ▲ 263 total files | |||
Complete Data Analysis Course with Pandas & NumPy : Python
Learn most in demand skill in space of Data Science, Data analytics : Data analysis library Pandas & NumPy - Python
For More Courses Visit: https://desirecourse.net
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