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[DesireCourse.Net] Udemy - Complete Data Analysis Course with Pandas & NumPy Python

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File Name
Size
1. Introduction/1. What is Data analysis.mp4
96 MB
1. Introduction/1. What is Data analysis.vtt
6.1 kB
1. Introduction/2. Introduction to Pandas.mp4
78 MB
1. Introduction/2. Introduction to Pandas.vtt
4.5 kB
1. Introduction/3. Course FAQ.mp4
74 MB
1. Introduction/3. Course FAQ.vtt
5.4 kB
1. Introduction/4. Pandas.html
136 B
10. Panel Pandas/1. Warning - Panel Data type.mp4
8.6 MB
10. Panel Pandas/1. Warning - Panel Data type.vtt
4.2 kB
11. Pandas Options/1. max_rows , max_columns.mp4
66 MB
11. Pandas Options/1. max_rows , max_columns.vtt
10 kB
11. Pandas Options/1.1 Pandas Settings.zip.zip
10 kB
11. Pandas Options/2. precision.mp4
13 MB
11. Pandas Options/2. precision.vtt
2.8 kB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.mp4
64 MB
12. Visualize Data with Pandas/1. Display Stock data with Line Chart.vtt
14 kB
12. Visualize Data with Pandas/2. Pie, Histogram and Bar Chart.mp4
56 MB
12. Visualize Data with Pandas/2. Pie, Histogram and Bar Chart.vtt
11 kB
12. Visualize Data with Pandas/3. Data Visualization.html
136 B
13. Import and Export data from Pandas/1. read_csv() & to_csv() method.mp4
62 MB
13. Import and Export data from Pandas/1. read_csv() & to_csv() method.vtt
12 kB
14. Working with Text Data/1. Getting started with Data.mp4
44 MB
14. Working with Text Data/1. Getting started with Data.vtt
5.7 kB
14. Working with Text Data/2. Some String methods.mp4
43 MB
14. Working with Text Data/2. Some String methods.vtt
8.4 kB
14. Working with Text Data/3. More String methods.mp4
71 MB
14. Working with Text Data/3. More String methods.vtt
15 kB
14. Working with Text Data/4. Filtering Message with String.mp4
41 MB
14. Working with Text Data/4. Filtering Message with String.vtt
7.6 kB
14. Working with Text Data/5. Splitting Text.mp4
30 MB
14. Working with Text Data/5. Splitting Text.vtt
6.0 kB
14. Working with Text Data/6. Processing on Column names.mp4
10 MB
14. Working with Text Data/6. Processing on Column names.vtt
2.3 kB
15. Data Grouping/1. Importing Data Grouping.mp4
48 MB
15. Data Grouping/1. Importing Data Grouping.vtt
5.5 kB
15. Data Grouping/2. Getting Group.mp4
37 MB
15. Data Grouping/2. Getting Group.vtt
6.7 kB
15. Data Grouping/3. Size, First and Last Method.mp4
31 MB
15. Data Grouping/3. Size, First and Last Method.vtt
5.7 kB
15. Data Grouping/4. Sum, Mean, Max, Min Method.mp4
48 MB
15. Data Grouping/4. Sum, Mean, Max, Min Method.vtt
7.7 kB
15. Data Grouping/5. .agg method.mp4
39 MB
15. Data Grouping/5. .agg method.vtt
7.5 kB
16. Data Frame Multiindex/1. Import Data - Multiindex.mp4
9.6 MB
16. Data Frame Multiindex/1. Import Data - Multiindex.vtt
2.9 kB
16. Data Frame Multiindex/2. Set multiple column as index.mp4
23 MB
16. Data Frame Multiindex/2. Set multiple column as index.vtt
4.8 kB
16. Data Frame Multiindex/3. Sorting MultiIndex.mp4
32 MB
16. Data Frame Multiindex/3. Sorting MultiIndex.vtt
5.9 kB
16. Data Frame Multiindex/4. Index - Meta Information.mp4
39 MB
16. Data Frame Multiindex/4. Index - Meta Information.vtt
5.9 kB
16. Data Frame Multiindex/5. Change Index names.mp4
10 MB
16. Data Frame Multiindex/5. Change Index names.vtt
1.6 kB
16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.mp4
39 MB
16. Data Frame Multiindex/6. Fetch data from MultiIndex Dataframe.vtt
7.1 kB
16. Data Frame Multiindex/7. Transposing DataFrame.mp4
51 MB
16. Data Frame Multiindex/7. Transposing DataFrame.vtt
8.4 kB
16. Data Frame Multiindex/8. UnStack and Stack Data.mp4
49 MB
16. Data Frame Multiindex/8. UnStack and Stack Data.vtt
8.0 kB
16. Data Frame Multiindex/9. Pivot and Pivot_table Method.mp4
39 MB
16. Data Frame Multiindex/9. Pivot and Pivot_table Method.vtt
7.0 kB
17. Working with Time series data/1. Python Date and Datetime module.mp4
36 MB
17. Working with Time series data/1. Python Date and Datetime module.vtt
8.0 kB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.mp4
86 MB
17. Working with Time series data/2. Pandas Timestamp and Datetimeindex object.vtt
17 kB
17. Working with Time series data/3. Generate Time sequence.vtt
10 kB
18. Data cleaning/1. Data cleaning - Youtube Dataset (warm up) Part - 1.mp4
18 MB
18. Data cleaning/1. Data cleaning - Youtube Dataset (warm up) Part - 1.vtt
5.3 kB
18. Data cleaning/1.1 Data Cleaning.zip.zip
261 kB
18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.mp4
49 MB
18. Data cleaning/2. Data cleaning - Youtube Channel Dataset Part - 2.vtt
8.9 kB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.mp4
91 MB
18. Data cleaning/3. Data cleaning - Youtube Channel Dataset Part - 3.vtt
14 kB
19. Appendix Numpy - Numerical Python Library/1. Notes.html
222 B
2. Installation and IDE/1. Different ways of installation.mp4
53 MB
2. Installation and IDE/1. Different ways of installation.vtt
3.3 kB
2. Installation and IDE/10. Installation.html
136 B
2. Installation and IDE/2. Download and Install anaconda + Pandas.mp4
47 MB
2. Installation and IDE/2. Download and Install anaconda + Pandas.vtt
7.3 kB
2. Installation and IDE/2.1 Anaconda PythonR Distribution - Anaconda.html
99 B
2. Installation and IDE/2.1 MacOS installation.html
111 B
2. Installation and IDE/2.1 Windows Installation.html
112 B
2. Installation and IDE/2.2 Anaconda PythonR Distribution - Anaconda.html
99 B
2. Installation and IDE/2.2 Linux Installation.html
110 B
2. Installation and IDE/2.2 Windows Installation.html
112 B
2. Installation and IDE/2.3 Anaconda PythonR Distribution - Anaconda.html
99 B
2. Installation and IDE/2.3 Linux Installation.html
110 B
2. Installation and IDE/2.3 MacOS installation.html
111 B
2. Installation and IDE/2.3 Windows Installation.html
112 B
2. Installation and IDE/2.4 Anaconda PythonR Distribution - Anaconda.html
99 B
2. Installation and IDE/2.4 Linux Installation.html
110 B
2. Installation and IDE/2.4 MacOS installation.html
111 B
2. Installation and IDE/2.4 Windows Installation.html
112 B
2. Installation and IDE/3. Troubleshooting 'conda' is not recognized as an internal or external command.html
1.1 kB
2. Installation and IDE/4. Anaconda + Conda Command.mp4
57 MB
2. Installation and IDE/4. Anaconda + Conda Command.vtt
8.5 kB
2. Installation and IDE/4.1 Conda utility documentation.html
88 B
2. Installation and IDE/5. Conda Cheatsheet.html
321 B
2. Installation and IDE/5.1 Conda Cheatsheet.html
171 B
2. Installation and IDE/6. anaconda, conda & pandas Update.html
412 B
2. Installation and IDE/6.1 Updating from older versions.html
119 B
2. Installation and IDE/7. Getting started with Jupyter Lab.mp4
75 MB
2. Installation and IDE/7. Getting started with Jupyter Lab.vtt
15 kB
2. Installation and IDE/7.1 Jupyter Lab Documentation.html
105 B
2. Installation and IDE/8. Jupyter Notebook cheatsheet.html
290 B
2. Installation and IDE/8.1 Jupyter Notebook cheatsheet.html
150 B
2. Installation and IDE/9. Import Library.mp4
24 MB
2. Installation and IDE/9. Import Library.vtt
8.7 kB
2. Installation and IDE/9.1 Import Library.zip.zip
526 B
2. Installation and IDE/9.1 Python Import Documentation.html
108 B
2. Installation and IDE/9.2 Import Library.zip.zip
526 B
2. Installation and IDE/9.2 Pandas Documentation.html
106 B
2. Installation and IDE/9.3 Import Library.zip.zip
526 B
2. Installation and IDE/9.3 Pandas Documentation.html
106 B
2. Installation and IDE/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
3. Code Download/1.1 Pandas.pdf.pdf
650 kB
3. Code Download/1.1 code.zip.zip
14 MB
3. Code Download/1.2 Pandas.pdf.pdf
650 kB
3. Code Download/1.2 code.zip.zip
14 MB
4. Python Crash Course [Optional]/1. Introduction.mp4
34 MB
4. Python Crash Course [Optional]/1. Introduction.vtt
2.3 kB
4. Python Crash Course [Optional]/1.1 Python Crash Course.zip.zip
3.1 kB
4. Python Crash Course [Optional]/10. Functions.mp4
26 MB
4. Python Crash Course [Optional]/10. Functions.vtt
8.1 kB
4. Python Crash Course [Optional]/11. Python - 1.html
136 B
4. Python Crash Course [Optional]/12. Python - 2.html
136 B
4. Python Crash Course [Optional]/2. Python Basics - I.mp4
50 MB
4. Python Crash Course [Optional]/2. Python Basics - I.vtt
17 kB
4. Python Crash Course [Optional]/3. Data types, Numbers, String.html
136 B
4. Python Crash Course [Optional]/4. Python Basics - II.mp4
28 MB
4. Python Crash Course [Optional]/4. Python Basics - II.vtt
8.8 kB
4. Python Crash Course [Optional]/5. Loops & Decision making.html
136 B
4. Python Crash Course [Optional]/6. Lists and tuples.mp4
63 MB
4. Python Crash Course [Optional]/6. Lists and tuples.vtt
17 kB
4. Python Crash Course [Optional]/7. Lists and tuples.html
136 B
4. Python Crash Course [Optional]/8. Dictionary and set.mp4
35 MB
4. Python Crash Course [Optional]/8. Dictionary and set.vtt
11 kB
4. Python Crash Course [Optional]/9. Dictionary and set.html
136 B
5. Python Exercises/1. Exercise Overview.mp4
29 MB
5. Python Exercises/1. Exercise Overview.vtt
5.0 kB
5. Python Exercises/1.1 Python Exercise.zip.zip
2.8 kB
5. Python Exercises/2. Solutions.mp4
109 MB
5. Python Exercises/2. Solutions.vtt
22 kB
6. Numpy/1. Creating NumPy array.mp4
85 MB
6. Numpy/1. Creating NumPy array.vtt
18 kB
6. Numpy/1.1 NumPy cheatsheet.html
146 B
6. Numpy/1.1 Numpy Quick tutorial.html
114 B
6. Numpy/1.1 Numpy.zip.zip
51 kB
6. Numpy/1.2 NumPy cheatsheet.html
146 B
6. Numpy/1.2 Numpy.zip.zip
51 kB
6. Numpy/1.3 NumPy cheatsheet.html
146 B
6. Numpy/1.3 Numpy Quick tutorial.html
114 B
6. Numpy/1.3 Numpy.zip.zip
51 kB
6. Numpy/2. Numpy indexing and selection, Functions.mp4
94 MB
6. Numpy/2. Numpy indexing and selection, Functions.vtt
17 kB
6. Numpy/3. Some more Numpy Functions.mp4
62 MB
6. Numpy/3. Some more Numpy Functions.vtt
13 kB
6. Numpy/4. Linear algebra with NumPy.mp4
44 MB
6. Numpy/4. Linear algebra with NumPy.vtt
9.5 kB
6. Numpy/5. List vs NumPy Array.mp4
51 MB
6. Numpy/5. List vs NumPy Array.vtt
12 kB
6. Numpy/6. Views vs Copy - Numpy Array.mp4
35 MB
6. Numpy/6. Views vs Copy - Numpy Array.vtt
8.1 kB
6. Numpy/7. Insert, Append and Delete NumPy array.mp4
45 MB
6. Numpy/7. Insert, Append and Delete NumPy array.vtt
11 kB
6. Numpy/8. Split, Concatenate, Tile and Repeat array.mp4
60 MB
6. Numpy/8. Split, Concatenate, Tile and Repeat array.vtt
13 kB
6. Numpy/9. NumPy.html
136 B
7. Series Pandas/1. Series.html
380 B
7. Series Pandas/10. inplace parameter, sort_values & sort_index.mp4
33 MB
7. Series Pandas/10. inplace parameter, sort_values & sort_index.vtt
8.3 kB
7. Series Pandas/10.1 sorting index.html
149 B
7. Series Pandas/10.1 sorting.html
150 B
7. Series Pandas/10.2 sorting index.html
149 B
7. Series Pandas/10.2 sorting.html
150 B
7. Series Pandas/11. inplace parameter, sort_values & sort_index.html
136 B
7. Series Pandas/12. Apply Python built in function on Series.mp4
14 MB
7. Series Pandas/12. Apply Python built in function on Series.vtt
3.1 kB
7. Series Pandas/13. Extract Value from Series.mp4
26 MB
7. Series Pandas/13. Extract Value from Series.vtt
7.1 kB
7. Series Pandas/14. Extract Value from Series.html
136 B
7. Series Pandas/15. .value_counts() Method.mp4
7.7 MB
7. Series Pandas/15. .value_counts() Method.vtt
2.0 kB
7. Series Pandas/15.1 Pandas value_count method.html
173 B
7. Series Pandas/16. .apply() and .map() method.mp4
33 MB
7. Series Pandas/16. .apply() and .map() method.vtt
9.2 kB
7. Series Pandas/16.1 Pandas.Series.apply.html
144 B
7. Series Pandas/16.1 Pandas.Series.map.html
160 B
7. Series Pandas/16.2 Pandas.Series.apply.html
144 B
7. Series Pandas/16.2 Pandas.Series.map.html
160 B
7. Series Pandas/17. .apply() and .map() method.html
136 B
7. Series Pandas/18. Series.html
136 B
7. Series Pandas/2. Introduction to Series.mp4
52 MB
7. Series Pandas/2. Introduction to Series.vtt
3.2 kB
7. Series Pandas/3. Create Series from Python Object.mp4
48 MB
7. Series Pandas/3. Create Series from Python Object.vtt
12 kB
7. Series Pandas/3.1 Series constructor.html
138 B
7. Series Pandas/4. Create Series from CSV file.mp4
48 MB
7. Series Pandas/4. Create Series from CSV file.vtt
9.9 kB
7. Series Pandas/4.1 Read CSV file.html
140 B
7. Series Pandas/5. Create Series Object.html
136 B
7. Series Pandas/6. Series attributes & methods.mp4
58 MB
7. Series Pandas/6. Series attributes & methods.vtt
14 kB
7. Series Pandas/7. Series attributes & methods.html
136 B
7. Series Pandas/8. Label indexing.mp4
19 MB
7. Series Pandas/8. Label indexing.vtt
4.9 kB
7. Series Pandas/9. Label indexing.html
136 B
8. Data Frame Pandas/1. Introduction to Data Frame.mp4
73 MB
8. Data Frame Pandas/1. Introduction to Data Frame.vtt
5.0 kB
8. Data Frame Pandas/10. Filtering Data with .isin() method.mp4
37 MB
8. Data Frame Pandas/10. Filtering Data with .isin() method.vtt
5.8 kB
8. Data Frame Pandas/11. Filtering Data with .between() method.mp4
29 MB
8. Data Frame Pandas/11. Filtering Data with .between() method.vtt
4.1 kB
8. Data Frame Pandas/12. unique() & nunique() method.mp4
30 MB
8. Data Frame Pandas/12. unique() & nunique() method.vtt
5.2 kB
8. Data Frame Pandas/13. sorting values.mp4
85 MB
8. Data Frame Pandas/13. sorting values.vtt
10 kB
8. Data Frame Pandas/14. sort index and inplace parameter.mp4
38 MB
8. Data Frame Pandas/14. sort index and inplace parameter.vtt
5.6 kB
8. Data Frame Pandas/15. .loc() and .iloc() method.mp4
75 MB
8. Data Frame Pandas/15. .loc() and .iloc() method.vtt
15 kB
8. Data Frame Pandas/16. .ix() method.mp4
22 MB
8. Data Frame Pandas/16. .ix() method.vtt
4.6 kB
8. Data Frame Pandas/17. .astype() method - optimize memory requirement.mp4
50 MB
8. Data Frame Pandas/17. .astype() method - optimize memory requirement.vtt
8.6 kB
8. Data Frame Pandas/18. set_index() change index column.mp4
34 MB
8. Data Frame Pandas/18. set_index() change index column.vtt
4.8 kB
8. Data Frame Pandas/19. .apply() method on single column.mp4
35 MB
8. Data Frame Pandas/19. .apply() method on single column.vtt
6.2 kB
8. Data Frame Pandas/2. Create Data Frame - random data + from File.mp4
85 MB
8. Data Frame Pandas/2. Create Data Frame - random data + from File.vtt
12 kB
8. Data Frame Pandas/2.1 Read_CSV.pdf.pdf
107 kB
8. Data Frame Pandas/20. .apply() method on multiple column.mp4
56 MB
8. Data Frame Pandas/20. .apply() method on multiple column.vtt
8.8 kB
8. Data Frame Pandas/21. Fetch random sample.mp4
29 MB
8. Data Frame Pandas/21. Fetch random sample.vtt
4.9 kB
8. Data Frame Pandas/3. Data frame attributes and methods.mp4
83 MB
8. Data Frame Pandas/3. Data frame attributes and methods.vtt
13 kB
8. Data Frame Pandas/4. Adding new column.mp4
31 MB
8. Data Frame Pandas/4. Adding new column.vtt
4.1 kB
8. Data Frame Pandas/5. Select one or more than one column.mp4
45 MB
8. Data Frame Pandas/5. Select one or more than one column.vtt
7.7 kB
8. Data Frame Pandas/5.1 Select Column.pdf.pdf
85 kB
8. Data Frame Pandas/6. Broadcasting operation.mp4
28 MB
8. Data Frame Pandas/6. Broadcasting operation.vtt
4.3 kB
8. Data Frame Pandas/7. Drop missing row or column.mp4
36 MB
8. Data Frame Pandas/7. Drop missing row or column.vtt
8.9 kB
8. Data Frame Pandas/8. Filtering Data with one condition.mp4
68 MB
8. Data Frame Pandas/8. Filtering Data with one condition.vtt
11 kB
8. Data Frame Pandas/9. Filtering Data with multiple condition.mp4
39 MB
8. Data Frame Pandas/9. Filtering Data with multiple condition.vtt
6.9 kB
8. Data Frame Pandas/9.1 Truth Table for AND and OR operation.html
157 B
9. Pandas Exercise/1. Exercise Overview Google App store dataset.mp4
29 MB
9. Pandas Exercise/1. Exercise Overview Google App store dataset.vtt
3.7 kB
9. Pandas Exercise/1.1 Pandas Exercise.zip.zip
310 kB
9. Pandas Exercise/2. Pandas Exercise Solution - I.mp4
133 MB
9. Pandas Exercise/2. Pandas Exercise Solution - I.vtt
17 kB
9. Pandas Exercise/3. Pandas Exercise Solution - II.mp4
132 MB
9. Pandas Exercise/3. Pandas Exercise Solution - II.vtt
16 kB
[CourseClub.Me].url
48 B
[DesireCourse.Net].url
51 B