Intermediate Data Analysis

Course code:26-SS-218
Dates:March 2-27, 2026 Alternate Course Dates
Location:Online
Instructor:Mary Dereshiwsky
Fee: $195.00

Description

Understanding how variables interact is essential for uncovering insights and guiding smart business decisions. Intermediate Data Analysis builds on foundational skills by exploring how to compare groups, measure relationships, and communicate findings effectively.

In this course, you’ll explore statistical methods for comparing multiple groups, examine relationships between variables, and learn how to make predictions using real-world data. You’ll also analyze data based on ratings or survey results, and practice creating clear visualizations and narrative summaries that support stakeholder engagement.

This course is ideal for those who already understand basic data analysis and are ready to go deeper into comparative and predictive techniques that help drive business strategy.

Course Outcomes

  1. Compare data across different types of groups, including independent and related samples.
  2. Analyze relationships between variables, including pairs, clusters, and predictors.
  3. Perform tests of difference and correlation using ratings and scaled data.
  4. Identify which statistical tests are appropriate for comparing groups and exploring relationships.
  5. Develop predictions using one or more variables to explain or forecast outcomes.
  6. Design visual displays of data that clearly communicate patterns and findings.
  7. Write effective narratives that translate statistical results into meaningful business insights.
  8. Present data in engaging, audience-friendly formats to support decision-making.
Who Should Take This Course?
  • Professionals who already understand basic data analysis and want to advance their statistical skills
  • Business analysts and team leads who need to compare performance across teams, time periods, or customer segments
  • Marketing, HR, or operations professionals working with survey data, employee engagement, or customer feedback
  • Students or early-career professionals pursuing roles that involve reporting or performance measurement
  • Anyone looking to make stronger, evidence-based business decisions through comparative and relational data analysis

Notes

Registration Deadline: Participants can register up to 5 days after the course begins.

Course Access: Offered in partnership with LERN. Log in 24/7—no live meetings.

Course Format: Weekly units include readings, audio-slide lectures, self-quizzes, and discussion forums.

Tips for Success: Log in 2–3 times a week and contribute 2–3 thoughtful posts per unit for the best experience.

Recognized Credentials: Earn nationally recognized CEUs from the Learning Resources Network (LERN), a 501(c)(3) nonprofit association—perfect for meeting professional development goals or licensure requirements.


Cancellation/Refund Policy: VCU Continuing and Professional Education offers this class/certificate in partnership with LERN. Therefore, you may cancel your registration up until you receive your login and password from LERN and receive a full refund minus any credit card processing fees. Cancellations must be received via email at ocpe@vcu.edu
In the unlikely event that this program is cancelled or postponed due to insufficient enrollments or unforeseen circumstances, the university will fully refund registration fees, but cannot be held responsible for any other expenses, including change or cancellation charges to include but not limited to airlines, hotels, travel agencies, or other organizations.
Online courses offered with the Learning Resources Network (LERN) continue to run, as scheduled during inclement weather. If there are changes to meeting status, you will receive an email at the address you provided upon registration informing you of the cancelation.
*exempt-this offering is ineligible for waiver use
Student/Participant Conduct:
Participants are subject to all university policies applicable to students, unless a specific university or VCU Continuing and Professional Education policy explicitly states otherwise. University policies governing students are available at https://vcu.public.doctract.com including:
Student Code of Conduct
Honor System and Standards of Academic Conduct
Preventing and Responding to Discrimination
Title IX Sexual Harassment Policy-Interim
Sex-Based Misconduct Policy-Interim
For Academic Accommodations, please visit https://ocpe.vcu.edu/courses/policies.html#accommodations

There are still openings remaining at this time.

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