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Programming for Data Analytics

Course

Description

To create useful data analytics solutions, you need to define the problem, then determine what data is needed to solve it. By working through guided applied-learning exercises, you’ll use Python to prepare and analyze data so you can draw useful conclusions, work in Linux and use version control to keep data and code organized, and build visualizations and dashboards that make your results clear to others.

Key takeaways

  • Translate business problems into clear analytics questions
  • Prepare, explore and analyze datasets using Python
  • Manage data and code using Linux and version control
  • Create visualizations and dashboards that communicate results
  • Apply basic machine-learning methods to predictive analysis

Upcoming date(s)

Term
Section
mode
Fees

January 21 – March 25, 2027
Th 18:00 – 21:00
Winter
1
Online
$1,095
Term
Winter
Section
1
mode
Online
Fees
$1,095

Requirements

  • English language proficiency to understand and engage in course content
  • A computer with a stable internet connection, headphones, and a microphone