Introduction to Python for Data Science

The ability to analyze data with Python is critical in data science. Learn the basics, and move on to create stunning visualizations.
  • Self-Paced Learning

    Learning Style
  • Intermediate

    Difficulty
  • 24 Hours

    Course Duration
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The ability to analyze data with Python is critical in data science. Learn the basics, and move on to create stunning visualizations.

ABOUT THIS COURSE

Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.

In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.

Course Objective:

  • Explore Python language fundamentals, including basic syntax, variables, and types
  • Create and manipulate regular Python lists
  • Use functions and import packages
  • Build Numpy arrays, and perform interesting calculations
  • Create and customize plots on real data
  • Supercharge your scripts with control flow, and get to know the Pandas DataFrame

Prerequisite:

  • Some experience in working with data from Excel, databases, or text files.
More Information
Lab Access No
Technology Microsoft
Learning Style Self-Paced Learning
Difficulty Intermediate
Course Duration 24 Hours
Language English
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