Business Analytics Training Program

A university-backed, industry-built program that helps working professionals grow into modern product management roles fast and with lasting impact.

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Program Description

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This course provides students with a comprehensive introduction to the principles, tools, and applications of business analytics. Learners will explore the full spectrum of analytics—from descriptive to prescriptive—while gaining practical experience with data collection, management, and visualization. The course emphasizes how organizations leverage analytics to uncover insights, drive decision-making, and build competitive advantage. Students will also examine the ethical and privacy implications of data use, explore the integration of generative AI in analytics, and analyze emerging trends shaping the future of the field. By the end of the course, students will be equipped with both the technical knowledge and strategic perspective to apply analytics in real-world business contexts.

9 Modules of Learning

20+ Virtual Experiences

6 Micro Certifications

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Pre-requisites

There are no enrollment requirements, however students need to understand how to use a computer (turn it on, browse the internet, bookmark pages, create a user id and password) and be able read and follow instructions.

Program Length

Courses are each designed to be completed in 6 weeks and/or 40-60 hours of work (estimated). Students may go quicker through the content.

Program Cost

The cost of the program is $2950 and includes: Course, Labs, and mini certificates.

Outcomes

  1. Explain the role of business analytics in modern organizations and differentiate between descriptive, predictive, and prescriptive analytics.

  2. Collect, manage, and prepare data for analysis using appropriate tools and best practices.

  3. Apply descriptive, predictive, and prescriptive models to interpret data and generate actionable insights.

  4. Evaluate the use of generative AI within business analytics and experiment with

  5. AI-driven approaches to problem-solving.

  6. Analyze ethical, legal, and privacy considerations when collecting, analyzing, and applying business data.

  7. Develop data-driven business strategies that align analytics with organizational goals.

  8. Identify and assess emerging trends in business analytics, including advancements in AI, automation, and industry applications.

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