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Getting Started with Data Science and Python
Curriculum
4 Sections
23 Lessons
10 Weeks
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Chapter 1: Discovering the Match between Data Science and Python
5
1.1
Understanding Python as a Language
10 mins
1.2
Defining Data Science
10 mins
1.3
Creating the Data Science Pipeline
10 mins
1.4
Understanding Python’s Role in Data Science
10 mins
1.5
Learning to Use Python Fast
10 mins
Chapter 2: Introducing Python’s Capabilities and Wonders
5
2.1
Working with Python
10 mins
2.2
Performing Rapid Prototyping and Experimentation
10 mins
2.3
Considering Speed of Execution
10 mins
2.4
Visualizing Power
10 mins
2.5
Using the Python Ecosystem for Data Science
10 mins
Chapter 3: Setting Up Python for Data Science
5
3.1
Working with Anaconda
10 mins
3.2
Installing Anaconda on Windows
10 mins
3.3
Installing Anaconda on Linux
10 mins
3.4
Installing Anaconda on Mac OS X
10 mins
3.5
Downloading the Datasets and Example Code
10 mins
Chapter 4: Working with Google Colab
8
4.1
Defining Google Colab
10 mins
4.2
Working with Notebooks
10 mins
4.3
Performing Common Tasks
10 mins
4.4
Using Hardware Acceleration
10 mins
4.5
Executing the Code
10 mins
4.6
Viewing Your Notebook
10 mins
4.7
Sharing Your Notebook
10 mins
4.8
Getting Help
10 mins
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