Microcredential

Foundations of Data Analysis

Master fundamental data analysis concepts, from data classification to regression analysis, empowering you to make informed decisions backed by statistical evidence.

$399

Total: Course cost

4 Hours to complete

Duration

Online - self-paced
Earn a credential

Overview

Designed for professionals and decision-makers, this course introduces the core concepts of data analysis with a focus on real-world business applications. Learners will develop foundational analytical skills using descriptive statistics, data classification and measurement techniques to better interpret and apply data in decision-making processes.

Key Benefits:

  • Understand structured and unstructured data types
  • Apply descriptive statistics for decision-making
  • Interpret correlation and regression analysis results

What's Included:

  • Expert instruction from Dr. Kanad Basu, analytics leader with 18+ years’ experience
  • Video presentations with downloadable slide handouts
  • Practical applications of organizational performance statistics
  • Knowledge checks and hands-on statistical method exercises

Develop the quantitative foundation necessary for confident, data-driven leadership.

Course Modules

Explore structured versus unstructured data, understanding scales of measurement and data types that form the foundation for all analytical work and decision-making processes.

Certificate program

This course is a part of the following certificate program:

A Leader’s Toolkit: Data Analytics and Visualization
A Leader’s Toolkit: Data Analytics and Visualization
$1,699

Who this course is designed for

  • Business leaders without formal analytics training seeking data literacy
  • Managers responsible for interpreting data reports and dashboards
  • Professionals transitioning into roles requiring analytical capabilities
  • Executives evaluating data-driven recommendations from teams
  • Decision-makers needing to understand statistical concepts for strategic planning
  • Anyone building foundational skills before advanced analytics training

Outcomes

By the end of this course, you’ll be able to:

  • Classify data elements based on structured and unstructured data, scales of measurement and data types
  • Explain the shape and form of data, distinguishing between categorical and quantitative data
  • Apply descriptive summary statistics to analyze and interpret data for decision-making
  • Identify common organizational performance statistics
  • Apply statistical methods, including regression analysis, to derive insights for decision-making

Program support

Contact
Have additional questions?

Have a question? Please reach out to certificatehelp@thunderbird.asu.edu for help.

Connect with our team

Complete a brief form to get program recommendations and answers to your questions.

About you

How can we help?

Share your interests, goals, or questions so we can personalize your experience.