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Part 1: Getting Started with Data Science and Python - CEdge Learn
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Part 1: Getting Started with Data Science and Python
Part 1: Getting Started with Data Science and Python
Curriculum
4 Sections
24 Lessons
10 Weeks
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Chapter 1: Discovering the Match between Data Science and Python
4
12.13
Defining the Sexiest Job of the 21st Century
12.14
Creating the Data Science Pipeline
12.15
Understanding Python’s Role in Data Science
12.16
Learning to Use Python Fast
Chapter 2: Introducing Python’s Capabilities and Wonders
6
17.18
Why Python?
17.19
Working with Python
17.20
Performing Rapid Prototyping and Experimentation
17.21
Considering Speed of Execution
17.22
Visualizing Power
17.23
Using the Python Ecosystem for Data Science
Chapter 3: Setting Up Python for Data Science
5
24.25
Considering the Off-the-Shelf Cross-Platform Scientific Distributions
24.26
Installing Anaconda on Windows
24.27
Installing Anaconda on Linux
24.28
Installing Anaconda on Mac OS X
24.29
Downloading the Datasets and Example Code
Chapter 4: Working with Google Colab
9
30.31
Defining Google Colab
30.32
Getting a Google Account
30.33
Working with Notebooks
30.34
Performing Common Tasks
30.35
Using Hardware Acceleration
30.36
Executing the Code
30.37
Viewing Your Notebook
30.38
Sharing Your Notebook
30.39
Getting Help
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