Many organizations can collect and analyze data effectively, but not all are able to transform these insights into effective decision-making that results in organizational value. That’s where data visualization comes in.

This Python online course will supercharge your data visualization skills for both exploratory and explanatory purposes, using the commonly used programming language. Python is used across all industries, from healthcare to finance, and in different fields of business analytics. It’s also one of the simplest programming languages to learn. You’ll learn how to use Python through the use of its robust graphic libraries to bring insights to life and tell stories that help decision-making.

You’ll also get to design powerful visualizations using spreadsheet tools. Matplotlib is a powerful Python library for creating plots and charts. You’ll be introduced to the library and time series data, one of the most commonly used data types. You’ll also master the basics of creating and customizing plots using Python code, including custom colours, markers and styles.

This course will introduce you to design fundamentals, allowing you to identify and critique components of effective visualized data, charts and the visualization of complex relationships.

By the end of the course, you will be able to…

• Identify and critique components of effective visualizations, charts and visualization of complex relationships
• Design effective visualizations using spreadsheet tools
• Understand the architecture and objects of the Matplotlib Package
• Create Static Plots using Matplotlib

• This course is designed for professionals who would like to grow their confidence in using Python to produce exploratory and explanatory visualizations and build dashboards to communicate insights.
  • A professional who works with data on a regular basis or has a fundamental understanding of data analytics but wants to become more employable or progress in their career.
  • A business analyst or junior data analyst looking to further develop their data visualization skills using Python.
  • An individual with existing programming capabilities looking to enter the data analytics field.

• Introduction to Visualization and Visualization design Fundamentals
• Designing charts and visualizing Complex Relationships
• Introduction to Matplotlib and Plotting Time Series Data
• Quantitative Comparisons, Statistical Visualizations, and Sharing Visualizations