Data Visualization with Python

Aimed at professionals looking to develop advanced data analytics skills leveraging the programming language, Python, this course will solidify and enhance any prior understanding you may have working with data, analytics and visualizing insights. You will also develop critical employability skills with foundational knowledge in Python.

The curriculum was developed in consultation with experienced data analysts, visualization experts and programming professionals that leverage Python libraries to conduct advanced data analysis in their daily roles. Delivered in collaboration with industry partner Tableau, the course focuses on developing the knowledge and skills needed to successfully conduct advanced data analysis and exploration, as well as leverage Python libraries to conduct data modelling and build compelling visualisations.

You’ll learn how to…

1. Utilize best-practice design principles to assess and improve advanced data visualizations.
2. Conduct data analysis using Python programming to support the implementation of data visualization techniques for ongoing business performance.
3. Prepare exploratory visualizations utilizing different Python plotting libraries to inform business decisions.
4. Critically reflect on learning by describing the processes followed, justifying approaches taken to create the data visualization workflow, and addressing the ethical issues in specific organizational contexts.

And elevate your skills and career…

• With LinkedIn reporting Analytical Reasoning as the #3 most needed hard skills by companies in 2019 and Glassdoor has listed Data Scientist as the best job in the US for the third year in a row.
• Job postings calling for data visualization, have grown by a huge 540% over the last five years, and specific demands for Tableau skills by 1,165%.
• This exponential growth of 'Big Data', supported by increasingly sophisticated algorithms, enhanced computer power and the availability of cheap data storage has introduced the 'Age of Analytics'.