| 001 Analyse Data With Different Data Sets_ Titanic Project.en.srt | 3.9 KB | ||
| 001 Analyse Data With Different Data Sets_ Titanic Project.mp4 | 16.8 MB | ||
| 001 BONUS.html | 30.2 KB | ||
| 001 Be Smart and Use Data But How_ Answer is Data Science with Python.en.srt | 5.3 KB | ||
| 001 Be Smart and Use Data But How_ Answer is Data Science with Python.mp4 | 22 MB | ||
| 001 Data Frame Attributes and Methods.en.srt | 15.5 KB | ||
| 001 Data Frame Attributes and Methods.mp4 | 82.1 MB | ||
| 001 Data Types in Python.en.srt | 13.5 KB | ||
| 001 Data Types in Python.mp4 | 44.8 MB | ||
| 001 Installing Anaconda for Windows.en.srt | 6.2 KB | ||
| 001 Installing Anaconda for Windows.mp4 | 40.5 MB | ||
| 001 What Is Data Science_.en.srt | 6.6 KB | ||
| 001 What Is Data Science_.mp4 | 24.3 MB | ||
| 001 What is Matplotlib_.en.srt | 3.5 KB | ||
| 001 What is Numpy_.en.srt | 6.9 KB | ||
| 001 What is Numpy_.mp4 | 28.8 MB | ||
| 001 What is Pandas_.en.srt | 6.3 KB | ||
| 001 What is Pandas_.mp4 | 25.4 MB | ||
| 002 Array and Features.en.srt | 10.7 KB | ||
| 002 Array and Features.mp4.part | 12.2 MB | ||
| 002 Data Frame Attributes and Methods Part – II.en.srt | 9.8 KB | ||
| 002 Data Frame Attributes and Methods Part – II.mp4 | 58.4 MB | ||
| 002 Data Literacy.en.srt | 3.3 KB | ||
| 002 Data Literacy.mp4 | 11.8 MB | ||
| 002 Installing Anaconda for Mac.en.srt | 6.3 KB | ||
| 002 Installing Anaconda for Mac.mp4 | 53 MB | ||
| 002 Operators in Python.en.srt | 10.6 KB | ||
| 002 Operators in Python.mp4 | 33.8 MB | ||
| 002 Project Files and Course Documents.html | 1.1 KB | ||
| 002 Series and Features.en.srt | 18.5 KB | ||
| 002 Series and Features.mp4 | 78.5 MB | ||
| 002 Titanic Project Answers.en.srt | 21.1 KB | ||
| 002 Titanic Project Answers.mp4 | 93.6 MB | ||
| 002 Using Matplotlib.en.srt | 6.3 KB | ||
| 002 Using Matplotlib.mp4 | 25.9 MB | ||
| 003 Array Operators.en.srt | 4.1 KB | ||
| 003 Array Operators.mp4 | 18.3 MB | ||
| 003 Conditionals.en.srt | 9.9 KB | ||
| 003 Conditionals.mp4 | 38.8 MB | ||
| 003 Data Frame Attributes and Methods Part – III.en.srt | 9 KB | ||
| 003 Data Frame Attributes and Methods Part – III.mp4 | 49.4 MB | ||
| 003 Let's Meet Jupyter Notebook for Windows.en.srt | 2.6 KB | ||
| 003 Let's Meet Jupyter Notebook for Windows.mp4 | 12.1 MB | ||
| 003 Project II_ Bike Sharing.en.srt | 4.4 KB | ||
| 003 Project II_ Bike Sharing.mp4 | 18.7 MB | ||
| 003 Pyplot – Pylab - Matplotlib.en.srt | 6.9 KB | ||
| 003 Pyplot – Pylab - Matplotlib.mp4 | 26.9 MB | ||
| 004 Basics of Jupyter Notebook for Mac.en.srt | 2.7 KB | ||
| 004 Basics of Jupyter Notebook for Mac.mp4 | 14.5 MB | ||
| 004 Bike Sharing Project Answers.en.srt | 29.3 KB | ||
| 004 Bike Sharing Project Answers.mp4 | 152 MB | ||
| 004 Figure, Subplot and Axes.en.srt | 15.5 KB | ||
| 004 Figure, Subplot and Axes.mp4 | 63.5 MB | ||
| 004 Indexing and Slicing.en.srt | 8.4 KB | ||
| 004 Indexing and Slicing.mp4 | 41.9 MB | ||
| 004 Loops.en.srt | 12.1 KB | ||
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| 004 Multi Index.en.srt | 10.1 KB | ||
| 004 Multi Index.mp4 | 53.5 MB | ||
| 005 Figure Customization.en.srt | 12.8 KB | ||
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| 005 Groupby Operations.en.srt | 11.1 KB | ||
| 005 Groupby Operations.mp4 | 54.8 MB | ||
| 005 Lists, Tuples, Dictionaries and Sets.en.srt | 16.8 KB | ||
| 005 Lists, Tuples, Dictionaries and Sets.mp4 | 71 MB | ||
| 005 Numpy Exercises.en.srt | 12.9 KB | ||
| 005 Numpy Exercises.mp4 | 75.3 MB | ||
| 005 Project III_ Housing and Property Sales.en.srt | 3.1 KB | ||
| 005 Project III_ Housing and Property Sales.mp4 | 14.4 MB | ||
| 006 Answer for Housing and Property Sales Project.en.srt | 28.6 KB | ||
| 006 Answer for Housing and Property Sales Project.mp4 | 156.9 MB | ||
| 006 Data Type Operators and Methods.en.srt | 8.7 KB | ||
| 006 Data Type Operators and Methods.mp4.part | 16 MB | ||
| 006 Missing Data and Data Munging.en.srt | 20 KB | ||
| 006 Missing Data and Data Munging.mp4.part | 1.3 MB | ||
| 006 Plot Customization.en.srt | 6.2 KB | ||
| 006 Plot Customization.mp4 | 24.9 MB | ||
| 007 Missing Data and Data Munging Part II.en.srt | 9.3 KB | ||
| 007 Missing Data and Data Munging Part II.mp4 | 43.6 MB | ||
| 007 Modules in Python.en.srt | 5.4 KB | ||
| 007 Modules in Python.mp4 | 22.7 MB | ||
| 007 Project IV _ English Premier League.en.srt | 5.3 KB | ||
| 008 Answers for English Premier League Project.en.srt | 26.7 KB | ||
| 008 Answers for English Premier League Project.mp4 | 155.2 MB | ||
| 008 Functions in Python.en.srt | 8.6 KB | ||
| 008 Functions in Python.mp4.part | 7.8 MB | ||
| 008 How We Deal with Missing Data_.en.srt | 14.3 KB | ||
| 008 How We Deal with Missing Data_.mp4 | 72.7 MB | ||
| 009 Combining Data Frames.en.srt | 16.1 KB | ||
| 009 Combining Data Frames.mp4 | 106.7 MB | ||
| 009 Exercise Analyse.en.srt | 2.3 KB | ||
| 009 Exercise Analyse.mp4 | 8 MB | ||
| 010 Combining Data Frames Part – II.en.srt | 15.9 KB | ||
| 010 Combining Data Frames Part – II.mp4 | 86.9 MB | ||
| 010 Exercise Solution.en.srt | 7.1 KB | ||
| 010 Exercise Solution.mp4 | 47.8 MB | ||
| 011 Work with Dataset Files.mp4 | 73.6 MB | ||
| 043 Project - I - Questions.txt | 819.2 B | ||
| 043 Titanic.csv | 57.4 KB | ||
| 045 Bike_Share_London.csv | 368.5 KB | ||
| 045 Project - II - Questions.txt | 921.6 B | ||
| 047 House Sales.csv | 1.2 MB | ||
| 047 Project - III - Questions.txt | 716.8 B | ||
| 049 2006-2018 EPL stats.csv | 53.9 KB | ||
| 049 Project - IV - Questions.txt | 1 KB | ||
| Bonus Resources.txt | 307.2 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| Sales.csv | 4.8 KB | ||
| ▲ 108 total files | |||
Python for Data Science: Learn Data Science From Scratch
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.24 GB | Duration: 9h 22m
Data Science with Python. Use NumPy, Pandas, Matplotlib with hands-on projects and learn Python for Data Science with us
What you'll learn
Fundamentals of Pandas Library
Installation of Anaconda and how to use
Using Jupyter notebook
Learn Fundamentals of Python for effectively using Data Science
Numpy arrays
Series and Features
Combining Dataframes, Data Munging and how to deal with Missing Data
How to use Matplotlib library and start to journey in Data Visualization
Also, why you should learn Python and Pandas Library
Learn Data Science with Python
Description
Hello there,
Ready for the Data Science career?
Are you curious about Data Science and looking to start your self-learning journey into the world of data with Python?
If You Need More Courses, kindly Visit and Support Us -->> https://FreeCourseWeb.com
Thank You.
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