[ FreeCourseWeb ] Udemy - Data Analysis with Python - Full Course for Beginners

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[ FreeCourseWeb ] Udemy - Data Analysis with Python - Full Course for Beginners

Torrent Contents Size: 3.8 GB

[ FreeCourseWeb ] Udemy - Data Analysis with Python - Full Course for Beginners
▼ show more 203 files
001 Data Structure introduction.en.srt
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1.3 KB
001 Data Structure introduction.mp4
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5.7 MB
001 File Hierarchy - Locate your files.en.srt
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7.4 KB
001 File Hierarchy - Locate your files.mp4
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61.1 MB
001 Introduction to Numpy.en.srt
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8 KB
001 Introduction to Numpy.mp4
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55.9 MB
001 Introduction to python exceptions.en.srt
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3.8 KB
001 Introduction to python exceptions.mp4
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27.7 MB
001 Introduction.en.srt
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6.5 KB
001 Introduction.mp4
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42.2 MB
001 Lambda Function.en.srt
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2.4 KB
001 Lambda Function.mp4
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15.5 MB
001 Project introduction.en.srt
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5.6 KB
001 Project introduction.mp4
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50.3 MB
001 Python 101 - print.en.srt
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3.3 KB
001 Python 101 - print.mp4
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14.3 MB
001 Python packages.en.srt
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1.9 KB
001 Python packages.mp4
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9 MB
002 Array Creation Part 1.en.srt
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4 KB
002 Array Creation Part 1.mp4
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28.4 MB
002 Course Resources.en.srt
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1.5 KB
002 Course Resources.mp4
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11.7 MB
002 Data structure - List.en.srt
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4.9 KB
002 Data structure - List.mp4
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28.8 MB
002 Filter Function.en.srt
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4.5 KB
002 Filter Function.mp4
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26.2 MB
002 Project Solution Part 1.en.srt
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9.4 KB
002 Project Solution Part 1.mp4
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72 MB
002 Python 101 - Variables.en.srt
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7.2 KB
002 Python 101 - Variables.mp4
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49.6 MB
002 Python exception types.en.srt
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10 KB
002 Python exception types.mp4
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90.2 MB
002 Python standard library and Python Package index.en.srt
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002 Python standard library and Python Package index.mp4
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81.3 MB
002 Working with files.en.srt
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002 Working with files.mp4
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20.2 MB
003 Array Creation Part 2.en.srt
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003 Array Creation Part 2.mp4
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33.2 MB
003 Handling exceptions.en.srt
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4.8 KB
003 Handling exceptions.mp4
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28.8 MB
003 Install Python on Windows.en.srt
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3.6 KB
003 Install Python on Windows.mp4
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24.8 MB
003 Install and Import packages.en.srt
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3.1 KB
003 Install and Import packages.mp4
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19.4 MB
003 List - Access list element by index.en.srt
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3.4 KB
003 List - Access list element by index.mp4
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19.6 MB
003 Map Function.en.srt
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5 KB
003 Map Function.mp4
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33.4 MB
003 Project Solution Part 2.en.srt
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4.8 KB
003 Project Solution Part 2.mp4
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45 MB
003 Python 101 - Variables Code Challenge.en.srt
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3.3 KB
003 Python 101 - Variables Code Challenge.mp4
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17.9 MB
003 Read file content.en.srt
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003 Read file content.mp4
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43.4 MB
004 Array shape.en.srt
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004 Array shape.mp4
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36.8 MB
004 Clean up exceptions.en.srt
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004 Clean up exceptions.mp4
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18.3 MB
004 Install Python on MacOS.en.srt
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004 Install Python on MacOS.mp4
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13.7 MB
004 Introduction to Pandas.en.srt
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004 Introduction to Pandas.mp4
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38 MB
004 List - Index and slice.en.srt
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004 List - Index and slice.mp4
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30.8 MB
004 Project Solution Part 3.en.srt
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004 Project Solution Part 3.mp4
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49.8 MB
004 Python 101 - Comments.en.srt
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004 Python 101 - Comments.mp4
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6 MB
004 Read file and read lines.en.srt
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004 Read file and read lines.mp4
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004 Reduce Function.en.srt
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004 Reduce Function.mp4
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005 Array Operations.en.srt
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005 Array Operations.mp4
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48.8 MB
005 Debugging in python.en.srt
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005 Debugging in python.mp4
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85 MB
005 Install Anaconda.en.srt
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005 Install Anaconda.mp4
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48 MB
005 List Methods.en.srt
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005 List Methods.mp4
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36.9 MB
005 List comprehension.en.srt
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3.5 KB
005 List comprehension.mp4
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20.5 MB
005 Project Solution Part 4.en.srt
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005 Project Solution Part 4.mp4
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23.4 MB
005 Python 101 - Data Types.en.srt
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3.7 KB
005 Python 101 - Data Types.mp4
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18.8 MB
005 View DataFrame data.en.srt
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005 View DataFrame data.mp4
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43.4 MB
005 Write to files in Python.en.srt
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005 Write to files in Python.mp4
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17 MB
006 Array slicing and indexing.en.srt
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006 Array slicing and indexing.mp4
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71.5 MB
006 Jupyter Notebook.en.srt
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12.1 KB
006 Jupyter Notebook.mp4
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62.6 MB
006 List - Traverse a list.en.srt
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006 List - Traverse a list.mp4
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40.3 MB
006 Map Lambda vs List comprehension.en.srt
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006 Map Lambda vs List comprehension.mp4
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18.5 MB
006 Pandas DataFrame Slice and Index.en.srt
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5 KB
006 Pandas DataFrame Slice and Index.mp4
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60.4 MB
006 Project Solution Part 5.en.srt
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006 Project Solution Part 5.mp4
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78.8 MB
006 Python 101 - Data Types Examples.en.srt
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006 Python 101 - Data Types Examples.mp4
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57.5 MB
006 Work with JSON files.en.srt
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006 Work with JSON files.mp4
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39.7 MB
007 Array advanced indexing part 1.en.srt
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007 Array advanced indexing part 1.mp4
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43.7 MB
007 List - Functions to Generate a list.en.srt
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007 List - Functions to Generate a list.mp4
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11.9 MB
007 Make API request and JSON file operations.en.srt
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007 Make API request and JSON file operations.mp4
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76 MB
007 Pandas DataFrame slice with [].en.srt
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007 Pandas DataFrame slice with [].mp4
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007 Python 101 - String Formating.en.srt
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007 Python 101 - String Formating.mp4
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41.5 MB
008 Array advanced indexing part 2.en.srt
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008 Array advanced indexing part 2.mp4
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18.9 MB
008 List - A Code Challenge.en.srt
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008 List - A Code Challenge.mp4
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008 Pandas DataFrame slice with loc.en.srt
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008 Pandas DataFrame slice with loc.mp4
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20.5 MB
008 Python 101 - Operators.en.srt
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008 Python 101 - Operators.mp4
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35.7 MB
009 Data structure - Tuple.en.srt
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009 Data structure - Tuple.mp4
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40.2 MB
009 Numpy methods.en.srt
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009 Numpy methods.mp4
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69.8 MB
009 Pandas DataFrame slice with iloc.en.srt
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009 Pandas DataFrame slice with iloc.mp4
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33.2 MB
009 Python 101 - Control Flow IF statement.en.srt
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009 Python 101 - Control Flow IF statement.mp4
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27.5 MB
010 Numpy functions.en.srt
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010 Numpy functions.mp4
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40.9 MB
010 Pandas DataFrame slice with at, iat and boolean vectors.en.srt
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010 Pandas DataFrame slice with at, iat and boolean vectors.mp4
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49.3 MB
010 Python 101 - Control Flow FOR loop.en.srt
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5.7 KB
010 Python 101 - Control Flow FOR loop.mp4
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28.1 MB
010 Tuple Iterations.en.srt
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010 Tuple Iterations.mp4
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13.2 MB
011 Conditional logics as array operations.en.srt
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011 Conditional logics as array operations.mp4
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19.7 MB
011 Data structure - Dictionary.en.srt
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011 Data structure - Dictionary.mp4
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49 MB
011 Pandas operation axis.en.srt
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011 Pandas operation axis.mp4
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29.7 MB
011 Python 101 - Control Flow Range Function Demo.en.srt
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011 Python 101 - Control Flow Range Function Demo.mp4
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17.5 MB
012 Dictionary Methods.en.srt
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012 Dictionary Methods.mp4
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63.1 MB
012 Pandas Descriptive statistics.en.srt
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012 Pandas Descriptive statistics.mp4
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47.3 MB
012 Python 101 - Control Flow WHILE loop.en.srt
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8.6 KB
012 Python 101 - Control Flow WHILE loop.mp4
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39.5 MB
012 Reference to statistics and linear algebra.en.srt
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012 Reference to statistics and linear algebra.mp4
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16.1 MB
013 Code challenge - solve sudoku.en.srt
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013 Code challenge - solve sudoku.mp4
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18.7 MB
013 Dictionary iterations.en.srt
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013 Dictionary iterations.mp4
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13.6 MB
013 Merge Data in pandas.en.srt
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013 Merge Data in pandas.mp4
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59.6 MB
013 Python 101 - Control flow Loop Code Challenge.en.srt
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3.6 KB
013 Python 101 - Control flow Loop Code Challenge.mp4
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18.8 MB
014 Code challenge - solve sudoku solution.en.srt
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014 Code challenge - solve sudoku solution.mp4
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113.7 MB
014 Concat Data in pandas.en.srt
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014 Concat Data in pandas.mp4
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26 MB
014 Dictionary - Code Challenge.en.srt
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014 Dictionary - Code Challenge.mp4
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33.4 MB
014 Python 101 - Control Flow CONTINUE & BREAK.en.srt
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014 Python 101 - Control Flow CONTINUE & BREAK.mp4
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20.4 MB
015 Dictionary - Code Challenge Solution.en.srt
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015 Dictionary - Code Challenge Solution.mp4
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49.6 MB
015 Drop duplicates in dataframe.en.srt
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015 Drop duplicates in dataframe.mp4
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24 MB
015 Python 101 - Builtin Functions.en.srt
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015 Python 101 - Builtin Functions.mp4
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40.9 MB
016 Data structure - Set.en.srt
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016 Data structure - Set.mp4
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13.8 MB
016 Group data using groupby in Pandas - Example 1.en.srt
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016 Group data using groupby in Pandas - Example 1.mp4
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49 MB
016 Python 101 - Builtin Functions Demo.en.srt
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016 Python 101 - Builtin Functions Demo.mp4
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60.9 MB
017 Group data using groupby in Pandas - Example 2.en.srt
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017 Group data using groupby in Pandas - Example 2.mp4
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22.7 MB
017 Python 101 - Functions.en.srt
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017 Python 101 - Functions.mp4
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47.3 MB
017 Set methods.en.srt
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017 Set methods.mp4
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018 Group data using groupby in Pandas - Example 3.en.srt
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018 Group data using groupby in Pandas - Example 3.mp4
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15.2 MB
018 Python 101 - Functional decomposition.en.srt
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018 Python 101 - Functional decomposition.mp4
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31.7 MB
018 Set Iterations.en.srt
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018 Set Iterations.mp4
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8.2 MB
019 Pivot Table in Pandas.en.srt
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019 Pivot Table in Pandas.mp4
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32.4 MB
020 Read and write csv files in pandas.en.srt
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020 Read and write csv files in pandas.mp4
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47.5 MB
021 Read multiple csv files.en.srt
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021 Read multiple csv files.mp4
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33.4 MB
022 Read and write excel files in pandas.en.srt
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3.2 KB
022 Read and write excel files in pandas.mp4
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30.5 MB
023 Handle missing values in pandas.en.srt
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2 KB
023 Handle missing values in pandas.mp4
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16.2 MB
024 Drop na values in pandas.en.srt
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024 Drop na values in pandas.mp4
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40.3 MB
025 Replace na values in pandas.en.srt
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025 Replace na values in pandas.mp4
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24.9 MB
038 alice.txt
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170.2 KB
079 linear_algebra_handout.pdf
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200.5 KB
079 stats_handout_by_csvoss.pdf
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1.3 MB
100 project_data.xlsx
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62 MB
Bonus Resources.txt
TXT
307.2 B
Get Bonus Downloads Here.url
URL
204.8 B
external-assets-links.txt
TXT
102.4 B

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