Business & Data Analytics Program

understanding Business Development is one important step to play an active role in helping their organization achieve its objectives

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Data analytics is the science of analyzing raw data to make conclusions about that information. Data analytics help a business optimize its performance, perform more efficiently, maximize profit, or make more strategically guided decisions.


Certificate of completion
Accredited by Society for Human Resource Management (SHRM)


on Campus


2 Months (32 Hours)

Key Benefits

  • Transform your data from regular forms into strategically designed insights, where the light is spotted only on the data that matters.
  • Empowering your reports with smart designs and eye-opening visuals.
  • Closely highlights the most critical facts and figures that smoothly lead you to make the best decisions.

Who should attend?​

• Junior Data Analyst
• Business Analyst
• Business Intelligence Analyst
• Operations Analyst
• Data Technician
• Business Performance Analyst
• Marketing Analyst

Course Outline

  • What is business intelligence
  • Importance of Data
  • Stages in Analytics
  • Data preparation
  • Data Processing
  • Data Modelling
  • Data Visualization concepts
  • Different types of data analytics (descriptive, predictive, prescriptive, and diagnostic data analytics
  • Excel, Structure Query Language (SQL), statistics uses in data analytics

• Understand and apply dashboard and data visualization concepts Using excel and power BI. Building pivot tables charts, adding slicers & timelines
• Understanding and applying connection of tables to creating dynamic and automating business performance sales dashboards etc.
• Understand and apply most powerful techniques in data analysis and benefits vs “Traditional” excel (power query/power pivot and common Dax functions)
• Understanding and applying Most Powerful Techniques in Data Modelling Approaches using Excel and Power BI.
• Understand programming principles, especially python programming language and its uses in data analytics.

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