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Details

In this course you will get an introduction to use Python for Data Science. You get acquainted with the components of IPython, NoteBook and NumPy module, among others. The second part of this online course covers complex data pieces such as pandas, machine learning via SciPy operations and the scikit-learn tool set.

Topics covered include Anaconda, JSON, SciPy stack, developing a 3D plot, managing processes in data science and much more.

Your result
After successful completion you are familiar with the basic and advanced techniques of Python in combination with Data Science.

Foreknowledge
You have basic programming knowledge.

Target audience
Software developer

Outline

Course content
Chapters

• Python for Data Science - Introduction to Python for Data Science (2 Hours, 32 Minutes)
• Python for Data Science - Complex Data Engineering in Python (2 Hours, 41 Minutes)
• Python for Data Science: Introduction to NumPy for Multi-dimensional Data (1 Hour)
• Python for Data Science: Advanced Operations with NumPy Arrays (1 Hour, 8 Minutes)
• Python for Data Science: Introduction to Pandas (1 Hour, 6 Minutes)
• Python for Data Science: Basic Data Visualization Using Seaborn (1 Hour, 7 Minutes)
• Python for Data Science: Advanced Data Visualization Using Seaborn (1 Hour, 4 Minutes)
• Python for Data Science: Manipulating and Analyzing Data in Pandas DataFrames (45 Minutes)

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