Course Overview:

This is an introductory course to data science as well as Python and its applications in data science. If you haven’t learned programming yet, this course will also introduce you to the world of coding. The focus of this course, however, is on fundamental Python programming techniques for data manipulation, analysis, visualization, and exploration.

Learning Outcome:

Upon completing this course, you'll be able to write your own Python scripts and perform basic hands-on data analysis using a Jupyter-based lab environment. Key topics covered include:

• Python basics
• Libraries and Python Data Structures
• Python Programming Fundamentals
• Pandas library for data science
• Matplotlib for data visualization

Ideal for:

• Data scientists / analysts
• Data visualizers
• Anybody passionate about data analytics and data science

Eligibility Criteria:

All organizations and business enterprises

ML software companies and service providers

All organizations and business enterprises

ML software companies and service providers

All organizations and business enterprises

ML software companies and service providers

All organizations and business enterprises

ML software companies and service providers

All organizations and business enterprises

ML software companies and service providers

All organizations and business enterprises

ML software companies and service providers

All organizations and business enterprises

ML software companies and service providers

All organizations and business enterprises

ML software companies and service providers