DesireCourse Net Udemy Complete Data Analysis Course with Pandas NumPy Python

DesireCourse Net Udemy Complete Data Analysis Course with Pandas NumPy Python

Name	[DesireCourse.Net] Udemy - Complete Data Analysis Course with Pandas & NumPy Python	DOWNLOAD Copy Link
Total Size	4.5 GB
Total Files	263
Last Seen	2024-10-14 23:37
Hash	21A25E85F29BD2F9639EA3F63FF380679638AF4F

/1. Introduction/
1. What is Data analysis.mp4	100.4 MB
1. What is Data analysis.vtt	6.2 KB
2. Introduction to Pandas.mp4	82.2 MB
2. Introduction to Pandas.vtt	4.6 KB
3. Course FAQ.mp4	77.2 MB
3. Course FAQ.vtt	5.6 KB
4. Pandas.html	0.1 KB
/10. Panel Pandas/
1. Warning - Panel Data type.mp4	9.0 MB
1. Warning - Panel Data type.vtt	4.3 KB
/11. Pandas Options/
1. max_rows , max_columns.mp4	69.3 MB
1. max_rows , max_columns.vtt	10.3 KB
1.1 Pandas Settings.zip.zip	10.2 KB
2. precision.mp4	13.7 MB
2. precision.vtt	2.9 KB
/12. Visualize Data with Pandas/
1. Display Stock data with Line Chart.mp4	66.9 MB
1. Display Stock data with Line Chart.vtt	13.9 KB
2. Pie, Histogram and Bar Chart.mp4	59.1 MB
2. Pie, Histogram and Bar Chart.vtt	10.9 KB
3. Data Visualization.html	0.1 KB
/13. Import and Export data from Pandas/
1. read_csv() & to_csv() method.mp4	64.7 MB
1. read_csv() & to_csv() method.vtt	12.2 KB
/14. Working with Text Data/
1. Getting started with Data.mp4	46.6 MB
1. Getting started with Data.vtt	5.9 KB
2. Some String methods.mp4	45.5 MB
2. Some String methods.vtt	8.6 KB
3. More String methods.mp4	74.4 MB
3. More String methods.vtt	14.9 KB
4. Filtering Message with String.mp4	43.4 MB
4. Filtering Message with String.vtt	7.8 KB
5. Splitting Text.mp4	30.9 MB
5. Splitting Text.vtt	6.2 KB
6. Processing on Column names.mp4	10.6 MB
6. Processing on Column names.vtt	2.3 KB
/15. Data Grouping/
1. Importing Data Grouping.mp4	50.9 MB
1. Importing Data Grouping.vtt	5.6 KB
2. Getting Group.mp4	39.2 MB
2. Getting Group.vtt	6.9 KB
3. Size, First and Last Method.mp4	32.6 MB
3. Size, First and Last Method.vtt	5.9 KB
4. Sum, Mean, Max, Min Method.mp4	50.7 MB
4. Sum, Mean, Max, Min Method.vtt	7.9 KB
5. .agg method.mp4	41.2 MB
5. .agg method.vtt	7.6 KB
/16. Data Frame Multiindex/
1. Import Data - Multiindex.mp4	10.0 MB
1. Import Data - Multiindex.vtt	3.0 KB
2. Set multiple column as index.mp4	24.5 MB
2. Set multiple column as index.vtt	4.9 KB
3. Sorting MultiIndex.mp4	33.6 MB
3. Sorting MultiIndex.vtt	6.0 KB
4. Index - Meta Information.mp4	41.3 MB
4. Index - Meta Information.vtt	6.1 KB
5. Change Index names.mp4	10.7 MB
5. Change Index names.vtt	1.6 KB
6. Fetch data from MultiIndex Dataframe.mp4	41.0 MB
6. Fetch data from MultiIndex Dataframe.vtt	7.3 KB
7. Transposing DataFrame.mp4	53.5 MB
7. Transposing DataFrame.vtt	8.6 KB
8. UnStack and Stack Data.mp4	51.0 MB
8. UnStack and Stack Data.vtt	8.2 KB
9. Pivot and Pivot_table Method.mp4	40.8 MB
9. Pivot and Pivot_table Method.vtt	7.1 KB
/17. Working with Time series data/
1. Python Date and Datetime module.mp4	37.9 MB
1. Python Date and Datetime module.vtt	8.2 KB
2. Pandas Timestamp and Datetimeindex object.mp4	90.5 MB
2. Pandas Timestamp and Datetimeindex object.vtt	17.1 KB
3. Generate Time sequence.vtt	10.7 KB
/18. Data cleaning/
1. Data cleaning - Youtube Dataset (warm up) Part - 1.mp4	19.4 MB
1. Data cleaning - Youtube Dataset (warm up) Part - 1.vtt	5.4 KB
1.1 Data Cleaning.zip.zip	267.3 KB
2. Data cleaning - Youtube Channel Dataset Part - 2.mp4	51.1 MB
2. Data cleaning - Youtube Channel Dataset Part - 2.vtt	9.1 KB
3. Data cleaning - Youtube Channel Dataset Part - 3.mp4	95.1 MB
3. Data cleaning - Youtube Channel Dataset Part - 3.vtt	14.5 KB
/19. Appendix Numpy - Numerical Python Library/
1. Notes.html	0.2 KB
/2. Installation and IDE/
1. Different ways of installation.mp4	56.0 MB
1. Different ways of installation.vtt	3.4 KB
10. Installation.html	0.1 KB
2. Download and Install anaconda + Pandas.mp4	48.9 MB
2. Download and Install anaconda + Pandas.vtt	7.5 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	59.9 MB
4. Anaconda + Conda Command.vtt	8.7 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	78.6 MB
7. Getting started with Jupyter Lab.vtt	15.2 KB
7.1 Jupyter Lab Documentation.html	0.1 KB
8. Jupyter Notebook cheatsheet.html	0.3 KB
8.1 Jupyter Notebook cheatsheet.html	0.2 KB
9. Import Library.mp4	24.7 MB
9. Import Library.vtt	8.9 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
/20. Bonus Lecture/
1. Bonus Lecture.html	0.7 KB
/3. Code Download/
1. Python Code.html	0.1 KB
1.1 Pandas.pdf.pdf	665.9 KB
1.1 code.zip.zip	14.3 MB
1.2 Pandas.pdf.pdf	665.9 KB
1.2 code.zip.zip	14.3 MB
/4. Python Crash Course [Optional]/
1. Introduction.mp4	35.9 MB
1. Introduction.vtt	2.4 KB
1.1 Python Crash Course.zip.zip	3.2 KB
10. Functions.mp4	27.7 MB
10. Functions.vtt	8.3 KB
11. Python - 1.html	0.1 KB
12. Python - 2.html	0.1 KB
2. Python Basics - I.mp4	52.3 MB
2. Python Basics - I.vtt	17.6 KB
3. Data types, Numbers, String.html	0.1 KB
4. Python Basics - II.mp4	29.6 MB
4. Python Basics - II.vtt	9.0 KB
5. Loops & Decision making.html	0.1 KB
6. Lists and tuples.mp4	65.8 MB
6. Lists and tuples.vtt	17.6 KB
7. Lists and tuples.html	0.1 KB
8. Dictionary and set.mp4	37.0 MB
8. Dictionary and set.vtt	11.7 KB
9. Dictionary and set.html	0.1 KB
/5. Python Exercises/
1. Exercise Overview.mp4	30.6 MB
1. Exercise Overview.vtt	5.1 KB
1.1 Python Exercise.zip.zip	2.8 KB
2. Solutions.mp4	114.7 MB
2. Solutions.vtt	22.4 KB
/6. Numpy/
1. Creating NumPy array.mp4	89.3 MB
1. Creating NumPy array.vtt	18.1 KB
1.1 NumPy cheatsheet.html	0.1 KB
1.1 Numpy Quick tutorial.html	0.1 KB
1.1 Numpy.zip.zip	52.0 KB
1.2 NumPy cheatsheet.html	0.1 KB
1.2 Numpy.zip.zip	52.0 KB
1.3 NumPy cheatsheet.html	0.1 KB
1.3 Numpy Quick tutorial.html	0.1 KB
1.3 Numpy.zip.zip	52.0 KB
2. Numpy indexing and selection, Functions.mp4	98.2 MB
2. Numpy indexing and selection, Functions.vtt	17.8 KB
3. Some more Numpy Functions.mp4	64.9 MB
3. Some more Numpy Functions.vtt	13.1 KB
4. Linear algebra with NumPy.mp4	46.0 MB
4. Linear algebra with NumPy.vtt	9.7 KB
5. List vs NumPy Array.mp4	53.6 MB
5. List vs NumPy Array.vtt	12.5 KB
6. Views vs Copy - Numpy Array.mp4	36.4 MB
6. Views vs Copy - Numpy Array.vtt	8.3 KB
7. Insert, Append and Delete NumPy array.mp4	47.4 MB
7. Insert, Append and Delete NumPy array.vtt	10.9 KB
8. Split, Concatenate, Tile and Repeat array.mp4	62.8 MB
8. Split, Concatenate, Tile and Repeat array.vtt	13.1 KB
9. NumPy.html	0.1 KB
/7. Series Pandas/
1. Series.html	0.4 KB
10. inplace parameter, sort_values & sort_index.mp4	35.0 MB
10. inplace parameter, sort_values & sort_index.vtt	8.5 KB
10.1 sorting index.html	0.1 KB
10.1 sorting.html	0.2 KB
10.2 sorting index.html	0.1 KB
10.2 sorting.html	0.2 KB
11. inplace parameter, sort_values & sort_index.html	0.1 KB
12. Apply Python built in function on Series.mp4	14.6 MB
12. Apply Python built in function on Series.vtt	3.2 KB
13. Extract Value from Series.mp4	27.0 MB
13. Extract Value from Series.vtt	7.3 KB
14. Extract Value from Series.html	0.1 KB
15. .value_counts() Method.mp4	8.1 MB
15. .value_counts() Method.vtt	2.1 KB
15.1 Pandas value_count method.html	0.2 KB
16. .apply() and .map() method.mp4	34.9 MB
16. .apply() and .map() method.vtt	9.4 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	54.0 MB
2. Introduction to Series.vtt	3.2 KB
3. Create Series from Python Object.mp4	50.0 MB
3. Create Series from Python Object.vtt	11.8 KB
3.1 Series constructor.html	0.1 KB
4. Create Series from CSV file.mp4	50.5 MB
4. Create Series from CSV file.vtt	10.2 KB
4.1 Read CSV file.html	0.1 KB
5. Create Series Object.html	0.1 KB
6. Series attributes & methods.mp4	61.2 MB
6. Series attributes & methods.vtt	14.0 KB
7. Series attributes & methods.html	0.1 KB
8. Label indexing.mp4	20.4 MB
8. Label indexing.vtt	5.0 KB
9. Label indexing.html	0.1 KB
/8. Data Frame Pandas/
1. Introduction to Data Frame.mp4	76.6 MB
1. Introduction to Data Frame.vtt	5.1 KB
10. Filtering Data with .isin() method.mp4	39.0 MB
10. Filtering Data with .isin() method.vtt	5.9 KB
11. Filtering Data with .between() method.mp4	29.9 MB
11. Filtering Data with .between() method.vtt	4.2 KB
12. unique() & nunique() method.mp4	31.4 MB
12. unique() & nunique() method.vtt	5.3 KB
13. sorting values.mp4	88.9 MB
13. sorting values.vtt	10.5 KB
14. sort index and inplace parameter.mp4	39.5 MB
14. sort index and inplace parameter.vtt	5.7 KB
15. .loc() and .iloc() method.mp4	78.7 MB
15. .loc() and .iloc() method.vtt	15.5 KB
16. .ix() method.mp4	23.1 MB
16. .ix() method.vtt	4.7 KB
17. .astype() method - optimize memory requirement.mp4	52.3 MB
17. .astype() method - optimize memory requirement.vtt	8.8 KB
18. set_index() change index column.mp4	35.9 MB
18. set_index() change index column.vtt	4.9 KB
19. .apply() method on single column.mp4	36.4 MB
19. .apply() method on single column.vtt	6.3 KB
2. Create Data Frame - random data + from File.mp4	89.6 MB
2. Create Data Frame - random data + from File.vtt	12.3 KB
2.1 Read_CSV.pdf.pdf	109.9 KB
20. .apply() method on multiple column.mp4	58.3 MB
20. .apply() method on multiple column.vtt	9.0 KB
21. Fetch random sample.mp4	30.4 MB
21. Fetch random sample.vtt	5.0 KB
3. Data frame attributes and methods.mp4	87.5 MB
3. Data frame attributes and methods.vtt	13.7 KB
4. Adding new column.mp4	32.0 MB
4. Adding new column.vtt	4.2 KB
5. Select one or more than one column.mp4	47.0 MB
5. Select one or more than one column.vtt	7.9 KB
5.1 Select Column.pdf.pdf	87.3 KB
6. Broadcasting operation.mp4	29.8 MB
6. Broadcasting operation.vtt	4.4 KB
7. Drop missing row or column.mp4	37.7 MB
7. Drop missing row or column.vtt	9.1 KB
8. Filtering Data with one condition.mp4	71.9 MB
8. Filtering Data with one condition.vtt	11.6 KB
9. Filtering Data with multiple condition.mp4	40.7 MB
9. Filtering Data with multiple condition.vtt	7.1 KB
9.1 Truth Table for AND and OR operation.html	0.2 KB
/9. Pandas Exercise/
1. Exercise Overview Google App store dataset.mp4	30.1 MB
1. Exercise Overview Google App store dataset.vtt	3.8 KB
1.1 Pandas Exercise.zip.zip	317.0 KB
2. Pandas Exercise Solution - I.mp4	139.4 MB
2. Pandas Exercise Solution - I.vtt	17.2 KB
3. Pandas Exercise Solution - II.mp4	138.1 MB
3. Pandas Exercise Solution - II.vtt	15.9 KB
/
[CourseClub.Me].url	0.0 KB
[DesireCourse.Net].url	0.1 KB
Total files 263