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[ FreeCourseWeb com ] Udemy - Python for Data Science - Learn Data Science From Scratch
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01 Python is Easy To Learn
001 Be Smart and Use Data But How_ Answer is Data Science with Python.en.srt
001 Be Smart and Use Data But How_ Answer is Data Science with Python.mp4
002 Project Files and Course Documents.html
02 Setting Up Python for Mac and Windows
001 Installing Anaconda for Windows.en.srt
001 Installing Anaconda for Windows.mp4
002 Installing Anaconda for Mac.en.srt
002 Installing Anaconda for Mac.mp4
003 Let's Meet Jupyter Notebook for Windows.en.srt
003 Let's Meet Jupyter Notebook for Windows.mp4
004 Basics of Jupyter Notebook for Mac.en.srt
004 Basics of Jupyter Notebook for Mac.mp4
03 Fundamentals of Python
001 Data Types in Python.en.srt
001 Data Types in Python.mp4
002 Operators in Python.en.srt
002 Operators in Python.mp4
003 Conditionals.en.srt
003 Conditionals.mp4
004 Loops.en.srt
004 Loops.mp4
005 Lists, Tuples, Dictionaries and Sets.en.srt
005 Lists, Tuples, Dictionaries and Sets.mp4
006 Data Type Operators and Methods.en.srt
006 Data Type Operators and Methods.mp4.part
007 Modules in Python.en.srt
007 Modules in Python.mp4
008 Functions in Python.en.srt
008 Functions in Python.mp4.part
009 Exercise Analyse.en.srt
009 Exercise Analyse.mp4
010 Exercise Solution.en.srt
010 Exercise Solution.mp4
04 Python For Data Science_ Data Science
001 What Is Data Science_.en.srt
001 What Is Data Science_.mp4
002 Data Literacy.en.srt
002 Data Literacy.mp4
05 Using Numpy for Data Manipulation
001 What is Numpy_.en.srt
001 What is Numpy_.mp4
002 Array and Features.en.srt
002 Array and Features.mp4.part
003 Array Operators.en.srt
003 Array Operators.mp4
004 Indexing and Slicing.en.srt
004 Indexing and Slicing.mp4
005 Numpy Exercises.en.srt
005 Numpy Exercises.mp4
06 Pandas_ Using Pandas for Data Manipulation
001 What is Pandas_.en.srt
001 What is Pandas_.mp4
002 Series and Features.en.srt
002 Series and Features.mp4
07 Data Frame with Pandas
001 Data Frame Attributes and Methods.en.srt
001 Data Frame Attributes and Methods.mp4
002 Data Frame Attributes and Methods Part – II.en.srt
002 Data Frame Attributes and Methods Part – II.mp4
003 Data Frame Attributes and Methods Part – III.en.srt
003 Data Frame Attributes and Methods Part – III.mp4
004 Multi Index.en.srt
004 Multi Index.mp4
005 Groupby Operations.en.srt
005 Groupby Operations.mp4
006 Missing Data and Data Munging.en.srt
006 Missing Data and Data Munging.mp4.part
007 Missing Data and Data Munging Part II.en.srt
007 Missing Data and Data Munging Part II.mp4
008 How We Deal with Missing Data_.en.srt
008 How We Deal with Missing Data_.mp4
009 Combining Data Frames.en.srt
009 Combining Data Frames.mp4
010 Combining Data Frames Part – II.en.srt
010 Combining Data Frames Part – II.mp4
011 Work with Dataset Files.mp4
Sales.csv
08 Python For Data Science_ Data Visualization
001 What is Matplotlib_.en.srt
002 Using Matplotlib.en.srt
002 Using Matplotlib.mp4
003 Pyplot – Pylab - Matplotlib.en.srt
003 Pyplot – Pylab - Matplotlib.mp4
004 Figure, Subplot and Axes.en.srt
004 Figure, Subplot and Axes.mp4
005 Figure Customization.en.srt
005 Figure Customization.mp4
006 Plot Customization.en.srt
006 Plot Customization.mp4
09 Data Science_ Hands-On Projects
001 Analyse Data With Different Data Sets_ Titanic Project.en.srt
001 Analyse Data With Different Data Sets_ Titanic Project.mp4
002 Titanic Project Answers.en.srt
002 Titanic Project Answers.mp4
003 Project II_ Bike Sharing.en.srt
003 Project II_ Bike Sharing.mp4
004 Bike Sharing Project Answers.en.srt
004 Bike Sharing Project Answers.mp4
005 Project III_ Housing and Property Sales.en.srt
005 Project III_ Housing and Property Sales.mp4
006 Answer for Housing and Property Sales Project.en.srt
006 Answer for Housing and Property Sales Project.mp4
007 Project IV _ English Premier League.en.srt
008 Answers for English Premier League Project.en.srt
008 Answers for English Premier League Project.mp4
043 Project - I - Questions.txt
043 Titanic.csv
045 Bike_Share_London.csv
045 Project - II - Questions.txt
047 House Sales.csv
047 Project - III - Questions.txt
049 2006-2018 EPL stats.csv
049 Project - IV - Questions.txt
10 BONUS
001 BONUS.html
Bonus Resources.txt
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