lsu.edu | myLSU | Moodle (LSU Online) | Moodle (LSU CE)
Man at desk analyzing data on computer

Statistics Certificate

Advance Your Career with an LSU Certificate

I agree to the Privacy Agreement

Type

Non-Credit

Format

Self-Paced

Modality

Online

Number of Courses

2

Total Contact Hours

80 hours (8.0 CEUs)

Total Cost

$1,240

Use Data to Draw Conclusions

Businesses generate usable data daily. But gathering, analyzing, and understanding that data is crucial to improving business operations. Learn how to use Google sheets and become familiar with how to use Python to apply basic statistical techniques to data through the LSU Online & Continuing Education Statistics Certificate program. Students will use basic and intermediate probability concepts to determine the likelihood of events, draw conclusions regarding statistical significance based on the results of hypothesis tests, and design and implement A/B testing scenarios. Learn how to identify linear and non-linear correlations, build and assess simple and multiple linear models, and make predictions about unseen data.

This program can stack into the LSU Tableau Business & Data Analytics Specialist Certificate program.


Watch our recent webinar about the Tableau Business & Data Analytics Specialist Certificate program.


Explore This Program

Course Listing
  • Statistics II: Probability and Statistical Testing
  • Statistics III: Regression

Suggested pre-requisite(s) for this MicroCred:

Format

If courses are purchased individually, you will have four weeks to complete the single course. If the program is purchased as a bundle, you will have two months to complete the program.

Extensions for individual courses is $95 for an additional week.

Extensions for the entire program is $195 for an additional month.

Requirements

Courses require access to high-speed Internet, email, and a web browser (Google Chrome and Mozilla Firefox recommended)

Refund & Cancellation Policy

Our refund and cancellation policies vary and are subject to change.

See the most updated policies.

Career Outlook

Job openings for individuals with these job titles have increased by 13% (between 2017 and 2018) annually. Source: Burning Glass Technologies.

  • Business Analyst
  • Business Management Analyst
  • Data Analyst
  • Business Intelligence Analyst
Learning Outcomes

Statistics II: Probability and Statistical Testing

  • Perform exploratory data analysis and report insights using descriptive statistics and visualizations.
  • Perform inferential data analysis by computing confidence intervals and construct a simple predictive model.

Statistics III: Regression

  • Use linear regression to characterize relationships between variables and make predictions.
  • Examine correlation coefficients and residuals to determine the significance of relationships between variables.