Course

Expressway to Data Science: Python Programming

University of Colorado Boulder

Expressway to Data Science: Python Programming is a specialized course designed for individuals with little or no programming experience who are interested in using Python for data analysis and manipulation. The course consists of three modules that cover fundamental Python programming, data manipulation packages such as Numpy and Pandas, and data visualization packages such as Matplotlib and Seaborn.

  • Learn the basics of Python programming, including variables, data types, and flow control statements.
  • Explore the use of functions and predefined Python packages to create reusable and adaptive programs.
  • Gain familiarity with essential data manipulation and visualization packages specifically used for data science.

This course emphasizes a hands-on approach, allowing learners to build a solid foundation in Python programming and apply these skills to play with data. By the end of the specialization, participants will have the knowledge and confidence to use Python effectively for data analysis and visualization.

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Expressway to Data Science: Python Programming
Course Modules

The specialization consists of three modules that cover fundamental Python programming, data manipulation packages, and data visualization packages for data science.

Introduction to Python Fundamentals

Introduction to Python Fundamentals: This module provides an introduction to fundamental programming in Python. Participants will learn about basic variables and data types, as well as how to write simple programs using Python.

Introduction to Python Functions

Introduction to Python Functions: In this module, learners will explore the use of functions predefined in Python and in Python packages. They will also learn to define Python functions, enabling them to create reusable and adaptive programs.

Python Packages for Data Science

Python Packages for Data Science: This module focuses on utilizing Python packages developed specifically for data science, such as Numpy and Pandas for data manipulation, and Matplotlib and Seaborn for developing data visualizations.

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