Udemy - Complete Data Analysis Course with Pandas & NumPy : Pytho...

Files:

• 1. What is Data analysis.mp4 (95.8 MB)
• 1. What is Data analysis.vtt (6.1 KB)
• 2. Introduction to Pandas.mp4 (78.4 MB)
• 2. Introduction to Pandas.vtt (4.5 KB)
• 3. Course FAQ.mp4 (73.7 MB)
• 3. Course FAQ.vtt (5.4 KB)
• 4. Pandas.html (0.1 KB)

• 1. Warning - Panel Data type.mp4 (8.6 MB)
• 1. Warning - Panel Data type.vtt (4.2 KB)

• 1. max_rows , max_columns.mp4 (66.1 MB)
• 1. max_rows , max_columns.vtt (10.1 KB)
• 1.1 Pandas Settings.zip.zip (10.0 KB)
• 2. precision.mp4 (13.0 MB)
• 2. precision.vtt (2.8 KB)

• 1. Display Stock data with Line Chart.mp4 (63.8 MB)
• 1. Display Stock data with Line Chart.vtt (13.5 KB)
• 2. Pie, Histogram and Bar Chart.mp4 (56.3 MB)
• 2. Pie, Histogram and Bar Chart.vtt (10.7 KB)
• 3. Data Visualization.html (0.1 KB)

• 1. read_csv() & to_csv() method.mp4 (61.7 MB)
• 1. read_csv() & to_csv() method.vtt (11.9 KB)

• 1. Getting started with Data.mp4 (44.4 MB)
• 1. Getting started with Data.vtt (5.7 KB)
• 2. Some String methods.mp4 (43.4 MB)
• 2. Some String methods.vtt (8.4 KB)
• 3. More String methods.mp4 (71.0 MB)
• 3. More String methods.vtt (14.6 KB)
• 4. Filtering Message with String.mp4 (41.4 MB)
• 4. Filtering Message with String.vtt (7.6 KB)
• 5. Splitting Text.mp4 (29.5 MB)
• 5. Splitting Text.vtt (6.0 KB)
• 6. Processing on Column names.mp4 (10.1 MB)
• 6. Processing on Column names.vtt (2.3 KB)

• 1. Importing Data Grouping.mp4 (48.5 MB)
• 1. Importing Data Grouping.vtt (5.5 KB)
• 2. Getting Group.mp4 (37.4 MB)
• 2. Getting Group.vtt (6.7 KB)
• 3. Size, First and Last Method.mp4 (31.0 MB)
• 3. Size, First and Last Method.vtt (5.7 KB)
• 4. Sum, Mean, Max, Min Method.mp4 (48.3 MB)
• 4. Sum, Mean, Max, Min Method.vtt (7.7 KB)
• 5. .agg method.mp4 (39.3 MB)
• 5. .agg method.vtt (7.5 KB)

• 1. Import Data - Multiindex.mp4 (9.6 MB)
• 1. Import Data - Multiindex.vtt (2.9 KB)
• 2. Set multiple column as index.mp4 (23.4 MB)
• 2. Set multiple column as index.vtt (4.8 KB)
• 3. Sorting MultiIndex.mp4 (32.0 MB)
• 3. Sorting MultiIndex.vtt (5.9 KB)
• 4. Index - Meta Information.mp4 (39.4 MB)
• 4. Index - Meta Information.vtt (5.9 KB)
• 5. Change Index names.mp4 (10.2 MB)
• 5. Change Index names.vtt (1.6 KB)
• 6. Fetch data from MultiIndex Dataframe.mp4 (39.1 MB)
• 6. Fetch data from MultiIndex Dataframe.vtt (7.1 KB)
• 7. Transposing DataFrame.mp4 (51.0 MB)
• 7. Transposing DataFrame.vtt (8.4 KB)
• 8. UnStack and Stack Data.mp4 (48.7 MB)
• 8. UnStack and Stack Data.vtt (8.0 KB)
• 9. Pivot and Pivot_table Method.mp4 (38.9 MB)
• 9. Pivot and Pivot_table Method.vtt (7.0 KB)

• 1. Python Date and Datetime module.mp4 (36.2 MB)
• 1. Python Date and Datetime module.vtt (8.0 KB)
• 2. Pandas Timestamp and Datetimeindex object.mp4 (86.3 MB)
• 2. Pandas Timestamp and Datetimeindex object.vtt (16.7 KB)
• 3. Generate Time sequence.vtt (10.4 KB)

• 1. Data cleaning - Youtube Dataset (warm up) Part - 1.mp4 (18.5 MB)
• 1. Data cleaning - Youtube Dataset (warm up) Part - 1.vtt (5.3 KB)
• 1.1 Data Cleaning.zip.zip (261.0 KB)
• 2. Data cleaning - Youtube Channel Dataset Part - 2.mp4 (48.7 MB)
• 2. Data cleaning - Youtube Channel Dataset Part - 2.vtt (8.9 KB)
• 3. Data cleaning - Youtube Channel Dataset Part - 3.mp4 (90.7 MB)
• 3. Data cleaning - Youtube Channel Dataset Part - 3.vtt (14.2 KB)

• 1. Notes.html (0.2 KB)

• 1. Different ways of installation.mp4 (53.4 MB)
• 1. Different ways of installation.vtt (3.3 KB)
• 10. Installation.html (0.1 KB)
• 2. Download and Install anaconda + Pandas.mp4 (46.7 MB)
• 2. Download and Install anaconda + Pandas.vtt (7.3 KB)
• 2.1 Anaconda PythonR Distribution - Anaconda.html (0.1 KB)
• 2.1 MacOS installation.html (0.1 KB)
• 2.1 Windows Installation.html (0.1 KB)
• 2.2 Anaconda PythonR Distribution - Anaconda.html (0.1 KB)
• 2.2 Linux Installation.html (0.1 KB)
• 2.2 Windows Installation.html (0.1 KB)
• 2.3 Anaconda PythonR Distribution - Anaconda.html (0.1 KB)
• 2.3 Linux Installation.html (0.1 KB)
• 2.3 MacOS installation.html (0.1 KB)
• 2.3 Windows Installation.html (0.1 KB)
• 2.4 Anaconda PythonR Distribution - Anaconda.html (0.1 KB)
• 2.4 Linux Installation.html (0.1 KB)
• 2.4 MacOS installation.html (0.1 KB)
• 2.4 Windows Installation.html (0.1 KB)
• 3. Troubleshooting 'conda' is not recognized as an internal or external command.html (1.1 KB)
• 4. Anaconda + Conda Command.mp4 (57.1 MB)
• 4. Anaconda + Conda Command.vtt (8.5 KB)
• 4.1 Conda utility documentation.html (0.1 KB)
• 5. Conda Cheatsheet.html (0.3 KB)
• 5.1 Conda Cheatsheet.html (0.2 KB)
• 6. anaconda, conda & pandas Update.html (0.4 KB)
• 6.1 Updating from older versions.html (0.1 KB)
• 7. Getting started with Jupyter Lab.mp4 (75.0 MB)
• 7. Getting started with Jupyter Lab.vtt (14.8 KB)
• 7.1 Jupyter Lab Documentation.html (0.1 KB)
• 8. Jupyter Notebook cheatsheet.html (0.3 KB)
• 8.1 Jupyter Notebook cheatsheet.html (0.1 KB)
• 9. Import Library.mp4 (23.5 MB)
• 9. Import Library.vtt (8.7 KB)
• 9.1 Import Library.zip.zip (0.5 KB)
• 9.1 Python Import Documentation.html (0.1 KB)
• 9.2 Import Library.zip.zip (0.5 KB)
• 9.2 Pandas Documentation.html (0.1 KB)
• 9.3 Import Library.zip.zip (0.5 KB)
• 9.3 Pandas Documentation.html (0.1 KB)
• 9.3 Python Import Documentation.html (0.1 KB)

• 1. Bonus Lecture.html (0.6 KB)

• 1. Python Code.html (0.1 KB)
• 1.1 Pandas.pdf.pdf (650.3 KB)
• 1.1 code.zip.zip (13.7 MB)
• 1.2 Pandas.pdf.pdf (650.3 KB)
• 1.2 code.zip.zip (13.7 MB)

• 1. Introduction.mp4 (34.3 MB)
• 1. Introduction.vtt (2.3 KB)
• 1.1 Python Crash Course.zip.zip (3.1 KB)
• 10. Functions.mp4 (26.4 MB)
• 10. Functions.vtt (8.1 KB)
• 11. Python - 1.html (0.1 KB)
• 12. Python - 2.html (0.1 KB)
• 2. Python Basics - I.mp4 (49.8 MB)
• 2. Python Basics - I.vtt (17.1 KB)
• 3. Data types, Numbers, String.html (0.1 KB)
• 4. Python Basics - II.mp4 (28.2 MB)
• 4. Python Basics - II.vtt (8.8 KB)
• 5. Loops & Decision making.html (0.1 KB)
• 6. Lists and tuples.mp4 (62.7 MB)
• 6. Lists and tuples.vtt (17.2 KB)
• 7. Lists and tuples.html (0.1 KB)
• 8. Dictionary and set.mp4 (35.3 MB)
• 8. Dictionary and set.vtt (11.4 KB)
• 9. Dictionary and set.html (0.1 KB)

• 1. Exercise Overview.mp4 (29.2 MB)
• 1. Exercise Overview.vtt (5.0 KB)
• 1.1 Python Exercise.zip.zip (2.8 KB)
• 2. Solutions.mp4 (109.4 MB)
• 2. Solutions.vtt (21.9 KB)

• 1. Creating NumPy array.mp4 (85.2 MB)
• 1. Creating NumPy array.vtt (17.7 KB)
• 1.1 NumPy cheatsheet.html (0.1 KB)
• 1.1 Numpy Quick tutorial.html (0.1 KB)
• 1.1 Numpy.zip.zip (50.8 KB)
• 1.2 NumPy cheatsheet.html (0.1 KB)
• 1.2 Numpy.zip.zip (50.8 KB)
• 1.3 NumPy cheatsheet.html (0.1 KB)
• 1.3 Numpy Quick tutorial.html (0.1 KB)
• 1.3 Numpy.zip.zip (50.8 KB)
• 2. Numpy indexing and selection, Functions.mp4 (93.6 MB)
• 2. Numpy indexing and selection, Functions.vtt (17.4 KB)
• 3. Some more Numpy Functions.mp4 (61.9 MB)
• 3. Some more Numpy Functions.vtt (12.8 KB)
• 4. Linear algebra with NumPy.mp4 (43.8 MB)
• 4. Linear algebra with NumPy.vtt (9.5 KB)
• 5. List vs NumPy Array.mp4 (51.2 MB)
• 5. List vs NumPy Array.vtt (12.2 KB)
• 6. Views vs Copy - Numpy Array.mp4 (34.7 MB)
• 6. Views vs Copy - Numpy Array.vtt (8.1 KB)
• 7. Insert, Append and Delete NumPy array.mp4 (45.2 MB)
• 7. Insert, Append and Delete NumPy array.vtt (10.7 KB)
• 8. Split, Concatenate, Tile and Repeat array.mp4 (59.9 MB)
• 8. Split, Concatenate, Tile and Repeat array.vtt (12.8 KB)
• 9. NumPy.html (0.1 KB)

• 1. Series.html (0.4 KB)
• 10. inplace parameter, sort_values & sort_index.mp4 (33.4 MB)
• 10. inplace parameter, sort_values & sort_index.vtt (8.3 KB)
• 10.1 sorting index.html (0.1 KB)
• 10.1 sorting.html (0.1 KB)
• 10.2 sorting index.html (0.1 KB)
• 10.2 sorting.html (0.1 KB)
• 11. inplace parameter, sort_values & sort_index.html (0.1 KB)
• 12. Apply Python built in function on Series.mp4 (13.9 MB)
• 12. Apply Python built in function on Series.vtt (3.1 KB)
• 13. Extract Value from Series.mp4 (25.8 MB)
• 13. Extract Value from Series.vtt (7.1 KB)
• 14. Extract Value from Series.html (0.1 KB)
• 15. .value_counts() Method.mp4 (7.7 MB)
• 15. .value_counts() Method.vtt (2.0 KB)
• 15.1 Pandas value_count method.html (0.2 KB)
• 16. .apply() and .map() method.mp4 (33.3 MB)
• 16. .apply() and .map() method.vtt (9.2 KB)
• 16.1 Pandas.Series.apply.html (0.1 KB)
• 16.1 Pandas.Series.map.html (0.2 KB)
• 16.2 Pandas.Series.apply.html (0.1 KB)
• 16.2 Pandas.Series.map.html (0.2 KB)
• 17. .apply() and .map() method.html (0.1 KB)
• 18. Series.html (0.1 KB)
• 2. Introduction to Series.mp4 (51.5 MB)
• 2. Introduction to Series.vtt (3.2 KB)
• 3. Create Series from Python Object.mp4 (47.7 MB)
• 3. Create Series from Python Object.vtt (11.5 KB)
• 3.1 Series constructor.html (0.1 KB)
• 4. Create Series from CSV file.mp4 (48.2 MB)
• 4. Create Series from CSV file.vtt (9.9 KB)
• 4.1 Read CSV file.html (0.1 KB)
• 5. Create Series Object.html (0.1 KB)
• 6. Series attributes & methods.mp4 (58.4 MB)
• 6. Series attributes & methods.vtt (13.6 KB)
• 7. Series attributes & methods.html (0.1 KB)
• 8. Label indexing.mp4 (19.4 MB)
• 8. Label indexing.vtt (4.9 KB)
• 9. Label indexing.html (0.1 KB)

• 1. Introduction to Data Frame.mp4 (73.0 MB)
• 1. Introduction to Data Frame.vtt (5.0 KB)
• 10. Filtering Data with .isin() method.mp4 (37.2 MB)
• 10. Filtering Data with .isin() method.vtt (5.8 KB)
• 11. Filtering Data with .between() method.mp4 (28.6 MB)
• 11. Filtering Data with .between() method.vtt (4.1 KB)
• 12. unique() & nunique() method.mp4 (29.9 MB)
• 12. unique() & nunique() method.vtt (5.2 KB)
• 13. sorting values.mp4 (84.7 MB)
• 13. sorting values.vtt (10.2 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 (75.0 MB)
• 15. .loc() and .iloc() method.vtt (15.1 KB)
• 16. .ix() method.mp4 (22.0 MB)
• 16. .ix() method.vtt (4.6 KB)
• 17. .astype() method - optimize memory requirement.mp4 (49.9 MB)
• 17. .astype() method - optimize memory requirement.vtt (8.6 KB)
• 18. set_index() change index column.mp4 (34.2 MB)
• 18. set_index() change index column.vtt (4.8 KB)
• 19. .apply() method on single column.mp4 (34.8 MB)
• 19. .apply() method on single column.vtt (6.2 KB)
• 2. Create Data Frame - random data + from File.mp4 (85.4 MB)
• 2. Create Data Frame - random data + from File.vtt (12.0 KB)
• 2.1 Read_CSV.pdf.pdf (107.3 KB)
• 20. .apply() method on multiple column.mp4 (55.6 MB)
• 20. .apply() method on multiple column.vtt (8.8 KB)
• 21. Fetch random sample.mp4 (29.0 MB)
• 21. Fetch random sample.vtt (4.9 KB)
• 3. Data frame attributes and methods.mp4 (83.4 MB)
• 3. Data frame attributes and methods.vtt (13.4 KB)
• 4. Adding new column.mp4 (30.6 MB)
• 4. Adding new column.vtt (4.1 KB)
• 5. Select one or more than one column.mp4 (44.9 MB)
• 5. Select one or more than one column.vtt (7.7 KB)
• 5.1 Select Column.pdf.pdf (85.2 KB)
• 6. Broadcasting operation.mp4 (28.5 MB)
• 6. Broadcasting operation.vtt (4.3 KB)
• 7. Drop missing row or column.mp4 (36.0 MB)
• 7. Drop missing row or column.vtt (8.9 KB)
• 8. Filtering Data with one condition.mp4 (68.5 MB)
• 8. Filtering Data with one condition.vtt (11.3 KB)
• 9. Filtering Data with multiple condition.mp4 (38.8 MB)
• 9. Filtering Data with multiple condition.vtt (6.9 KB)
• 9.1 Truth Table for AND and OR operation.html (0.2 KB)

• 1. Exercise Overview Google App store dataset.mp4 (28.7 MB)
• 1. Exercise Overview Google App store dataset.vtt (3.7 KB)
• 1.1 Pandas Exercise.zip.zip (309.6 KB)
• 2. Pandas Exercise Solution - I.mp4 (133.0 MB)
• 2. Pandas Exercise Solution - I.vtt (16.8 KB)
• 3. Pandas Exercise Solution - II.mp4 (131.7 MB)
• 3. Pandas Exercise Solution - II.vtt (15.5 KB)

• [CourseClub.Me].url (0.0 KB)
• [DesireCourse.Net].url (0.0 KB)