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[ FreeCourseWeb com ] Udemy - Python and Data Science from Scratch With RealLife Exercises
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Name:[ FreeCourseWeb com ] Udemy - Python and Data Science from Scratch With RealLife Exercises
Infohash: A4992D858E02A9A9D15D4A5F2A0C17D4E35AA85F
Total Size: 3.44 GB
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Last Updated: 2025-10-26 04:37:48 (Update Now)
Torrent added: 2021-07-17 02:02:48
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01 Data Science is Easy to Learn with Python
001 Python Is The New King and Pandas Are So Cute.en.srt
001 Python Is The New King and Pandas Are So Cute.mp4
002 Project Files and Course Documents.html
02 Python Setup
001 Installing Anaconda Distribution For MAC.en.srt
001 Installing Anaconda Distribution For MAC.mp4
002 Installing Anaconda Distribution For Windows.en.srt
002 Installing Anaconda Distribution For Windows.mp4
003 Installing Python and PyCharm For MAC.en.srt
003 Installing Python and PyCharm For MAC.mp4
004 Installing Python and PyCharm For Windows.en.srt
004 Installing Python and PyCharm For Windows.mp4
005 Installing Jupyter Notebook For MAC.en.srt
005 Installing Jupyter Notebook For MAC.mp4
006 Installing Jupyter Notebook For Windows.en.srt
006 Installing Jupyter Notebook For Windows.mp4
03 If there are variables there is Python
001 What is a variable.en.srt
001 What is a variable.mp4
04 Math is not so confusing with Python now
001 Numbers and Math Operators with example.en.srt
001 Numbers and Math Operators with example.mp4
05 Strings
001 String Operations and Useful String Methods.en.srt
001 String Operations and Useful String Methods.mp4
002 Data Type Conversion.en.srt
002 Data Type Conversion.mp4
003 Exercise _ Company Email Generator.en.srt
003 Exercise _ Company Email Generator.mp4
06 Conditionals
001 Conditionals.en.srt
001 Conditionals.mp4
002 bool() Function.en.srt
002 bool() Function.mp4
003 Comparison and Logical Operators.en.srt
003 Comparison and Logical Operators.mp4
004 If Statements.en.srt
004 If Statements.mp4
005 Exercise_ Calculator.en.srt
005 Exercise_ Calculator.mp4
006 Exercise_ User Login.en.srt
006 Exercise_ User Login.mp4
07 Loops
001 Loops.en.srt
001 Loops.mp4
002 While Loops.en.srt
002 While Loops.mp4
003 For Loops.en.srt
003 For Loops.mp4
004 Range Function.en.srt
004 Range Function.mp4
005 Control Statements.en.srt
005 Control Statements.mp4
006 Exercise_ Perfect Numbers.en.srt
006 Exercise_ Perfect Numbers.mp4
007 Exercise_ User Login with Loops.en.srt
007 Exercise_ User Login with Loops.mp4
08 Functions
001 Functions.en.srt
001 Functions.mp4
002 Create A New Function and Function Calls.en.srt
002 Create A New Function and Function Calls.mp4
003 Return Statement.en.srt
003 Return Statement.mp4
004 Lambda Functions.en.srt
004 Lambda Functions.mp4
005 Exercise_ Finding Prime Number.en.srt
005 Exercise_ Finding Prime Number.mp4
09 Modules
001 Logic of Using Modules.en.srt
001 Logic of Using Modules.mp4
002 How It is Work.en.srt
002 How It is Work.mp4
003 Create A New Module.en.srt
003 Create A New Module.mp4
004 Exercise_ Number Game.en.srt
004 Exercise_ Number Game.mp4
10 Lists
001 Lists and List Operations.en.srt
001 Lists and List Operations.mp4
002 List Methods.en.srt
002 List Methods.mp4
003 List Comprehensions.en.srt
003 List Comprehensions.mp4
004 Exercise_ Fibonacci Numbers.en.srt
004 Exercise_ Fibonacci Numbers.mp4
005 Exercise_ Merging Name and Surname.en.srt
005 Exercise_ Merging Name and Surname.mp4
11 Tuples
001 Tuples.en.srt
001 Tuples.mp4
12 Dictionaries
001 Dictionaries.en.srt
001 Dictionaries.mp4
002 Dictionary Comprehensions.en.srt
002 Dictionary Comprehensions.mp4
003 Exercise_ Letter Counter.en.srt
003 Exercise_ Letter Counter.mp4
004 Exercise_ Word Counter.en.srt
004 Exercise_ Word Counter.mp4
13 Exceptions
001 What is Exception_.en.srt
001 What is Exception_.mp4
002 Exception Handling.en.srt
002 Exception Handling.mp4
003 Exercise_ if Number.en.srt
003 Exercise_ if Number.mp4
14 Files
001 Files.en.srt
001 Files.mp4
002 File Operations.en.srt
002 File Operations.mp4
003 Exercise_ Team Building.en.srt
003 Exercise_ Team Building.mp4
004 Exercise_ Overlap.en.srt
004 Exercise_ Overlap.mp4
051 Chelsea.txt
15 Sets
001 Sets and Set Operations and Methods.en.srt
001 Sets and Set Operations and Methods.mp4
002 Set Comprehensions.en.srt
002 Set Comprehensions.mp4
16 Object Oriented Programming
001 Logic of OOP.en.srt
001 Logic of OOP.mp4
002 Constructor.en.srt
002 Constructor.mp4
003 Methods.en.srt
003 Methods.mp4
004 Inheritance.en.srt
004 Inheritance.mp4
005 Overriding and Overloading.en.srt
005 Overriding and Overloading.mp4
17 Project Project
001 Project_ Remote Controller Application.en.srt
001 Project_ Remote Controller Application.mp4
18 In Foreign Lands_ Data Science
001 What Is Data Science_.en.srt
001 What Is Data Science_.mp4
002 Data Literacy.en.srt
002 Data Literacy.mp4
19 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
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
20 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
21 Data Frame with Pandas
001 Data Frame attributes and Methods Part – I.en.srt
001 Data Frame attributes and Methods Part – I.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 Part I.en.srt
006 Missing Data and Data Munging Part I.mp4
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 Part – I.en.srt
009 Combining Data Frames Part – I.mp4
010 Combining Data Frames Part – II.en.srt
010 Combining Data Frames Part – II.mp4
011 Work with Dataset Files.en.srt
011 Work with Dataset Files.mp4
Sales.csv
22 Data Visualization
001 What is Matplotlib_.en.srt
001 What is Matplotlib_.mp4
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
23 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
007 Project IV _ English Premier League.mp4
008 Answers for English Premier League Project.en.srt
008 Answers for English Premier League Project.mp4
088 Answers.ipynb
092 Answers.ipynb
094 Answers.ipynb
2006-2018 EPL stats.csv
Answers.ipynb
Bike_Share_London.csv
Figure.png
House Sales.csv
Project - I - Questions.txt
Project - II - Questions.txt
Project - III - Questions.txt
Project - IV - Questions.txt
Titanic.csv
24 BONUS
001 BONUS.html
Bonus Resources.txt
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