Advanced-Data Analytics for Business

Build your data literacy using an analytical framework to help you solve real-world business challenges with data science solutions.

In this course,  you will learn Data Analytics for Business Professionals which will enable you to make sound business decisions with data-driven insights.

More than ever before, data is seen as a critical asset, relied upon to drive decision-making and generate business value. As a result, there is a growing demand for business professionals who understand how to leverage data as part of their day-to-day duties and are all-around data literate.

This course combines case studies with software tools, and the online program with synchronous sessions is focused on building superior technical communication skills that enable students to manage analytics teams, translate analysis into evidence-based business objectives, and accelerate their careers.

This course is designed for business leaders, managers, and executives who must make data-driven decisions every day. This course will is to give you the insights to become smarter and more discerning in your approach to data.

You will learn the basic statistical concepts that will help you better understand your data. Then learn how to ask the right questions and think about the data you might need to answer those questions.

We’ll also get into conceptual approaches to data analysis. This course will help you understand data and make data more useful for you and your business.

For Whom

  • Business Professionals
  • Anyone involved in the data industry


  1. Learn About Data Analytics for Business.
  2. Recognize the role of predictive analytics in your business.
  3. Explore a case study to determine the correct question to ask.
  4. Define the different types of data.
  5. Identify the types of data collection issues that could arise.
  6. Understanding what it means to be a data-literate business professional
  7. Identify the definition of prescriptive analytics.
  8. Preparing data for analysis.
  9. Identify how to calculate descriptives.
  10. Determine the steps to take when there is a data fail.


Yellow belt /Green Belt / Basic statistics primer or understanding of basic statistics. Person having flavour processes and analytics


Coming Soon

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