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Business Analytics Pro

Expert instruction

2 skill-building courses

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.


Progress at your own speed

Boost your analytics career with powerful new Microsoft® Excel skills by taking this Business Analytics course, which includes training on Power BI. These two commonly used tools, combined with official business analytics certification, will put you on the path of a successful career.

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15,458 already enrolled

What you will learn

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20 hours of self-paced learning

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24 hours of self-paced, online learning

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Jupyter notebooks integrated labs

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Two hands-on industry-based projects on healthcare and e-commerce

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Includes training on business intelligence using Power BI

Skills Covered

  • Excel analytics functions

  • Pivot tables and slicers

  • Excel conditional formatting

  • Scenario manager tool

  • Solver tool

  • Hypothesis testing

  • Power BI

About the Program

What will I gain from this program?

This Applied Business Analytics Pro aims to discover ways to make use of the Excel language to scrub clean, analyze as well as visualize data. Through our guided lectures & labs, you will get hands-on experience tackling fascinating data issues and exploring data stories. This's an action-packed learning path for data science enthusiasts who wish to work with real-life problems with Power BI. Be sure to take this particular learning road to solidify your data abilities within ANOVA, prior to diving directly into Excel analytics functions, Excel conditional formatting, Pivot tables and slicers, Scenario manager tool, Solver tool.

What are the pre-requisites for this course?

This course is for complete beginners and doesn’t need any pre-requisites or programming knowledge or experience.

Tools Covered


Learn from India’s leading Software Engineering faculty and Industry leaders

Course Content

Lesson 01 - Introduction to Business Analytics

  • Introduction
  • What Is in It for Me
  • Types of Analytics
  • Areas of Analytics
  • Knowledge Check
  • Key Takeaways
  • Conclusion

Lesson 02 - Formatting conditional Formatting and Important Functions

  • Introduction
  • What Is in It for Me
  • Custom Formatting Introduction
  • Custom Formatting Example
  • Conditional Formatting Introduction
  • Conditional Formatting Example1
  • Conditional Formatting Example2
  • Conditional Formatting Example3
  • Logical Functions
  • Lookup and Reference Functions
  • VLOOKUP Function
  • HLOOKUP Function
  • MATCH Function
  • INDEX and OFFSET Function
  • Statistical Function
  • SUMIFS Function
  • COUNTIFS Function
  • STDEV, MEDIAN and RANK Function
  • Exercise Intro
  • Exercise
  • Knowledge Check
  • Key Takeaways
  • Conclusion

Lesson 03 - Analyzing Data with Pivot Tables

  • Introduction
  • What Is in It for Me
  • Pivot Table Introduction
  • Concept Video of Creating a Pivot Table
  • Grouping in Pivot Table Introduction
  • Grouping in Pivot Table Example 1
  • Grouping in Pivot Table Example 2
  • Custom Calculation
  • Calculated Field and Calculated Item
  • Calculated Field Example
  • Calculated Item Example
  • Slicer Intro
  • Creating a Slicer
  • Exercise Intro
  • Exercise
  • Knowledge Check
  • Key Takeaways
  • Conclusion

Lesson 04 - Dashboarding

Lesson 05 - Business Analytics with excel

  • Introduction
  • What Is in It for Me
  • Concept Video Histogram
  • Concept Video Solver Addin
  • Concept Video Goal Seek
  • Concept Video Scenario Manager
  • Concept Video Data Table
  • Concept Video Descriptive Statistics
  • Exercise Intro
  • Exercise
  • Knowledge Check
  • Key Takeaways
  • Conclusion

Lesson 06 - Data Analysis Using Statistics

  • Introduction
  • What Is in It for Me
  • Moving Average
  • Hypothesis Testing
  • Covariance
  • Correlation
  • Regression
  • Normal Distribution
  • Exercise1 Intro
  • Exercise 1
  • Exercise2 Intro
  • Exercise 2
  • Exercise3 Intro
  • Exercise 3
  • Knowledge Check
  • Key Takeaways
  • Conclusion

Lesson 07 - Power BI

  • Introduction
  • What Is in It for Me
  • Power Pivot
  • Power View
  • Power Query
  • Power Map
  • Knowledge Check
  • Key Takeaways
  • Conclusion


Upon successful completion of this Business Analytics Program.




Enrolling Now


₹ 9,999

₹ 19,999


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Lifetime access to high-quality self-paced elearning content curated by industry experts

10 real-world projects guided by industry experts

Eight practical exercises

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24x7 learner assistance and support

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20+ hours of online learning content

Career Impact

Over 500 Careers Transformed


Average Salary Hike


Jobs Sourced

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Highest Salary


Hiring Partners

Frequently asked questions

What is Business Analytics?

Business Analytics, a subset of business intelligence is a process of collating, sorting, processing, and studying the data, and using statistical models and methodologies such as data mining and predictive analytics to analyze and transform data into actionable insights. business analytics has applications in a wide array of different businesses to solve problems, make data-driven business decisions, and increase efficiency, productivity, and revenue.

How can beginners learn Business Analytics?

Beginners can comfortably learn Business Analytics if they have an analytical mindset and basic knowledge of Microsoft Excel. This Business Analytics course helps you learn everything from scratch and gives you hands-on experience in the field as well.

Why should I take this Business Analytics course?

Regression analysis, predictive analytics, decision trees, dashboarding, and statistics are some of the Business Analytics subjects that can make you a successful Business Analyst.

Why should I tke this Business Analytics course?

The global big data and business analytics market size was worth $193.14 billion in 2020 and is projected to reach $420.98 billion by 2027. As organizations continue to adopt business analytics to get a better picture of their customers and improve their products, the demand for people skilled in business analytics will remain high. This Business Analytics course will help you gain expertise in the field and become capable of making data-driven decisions.

What are the system requirements?

  • Microsoft Excel 2016 recommended
  • Power BI (Download free version @

Can I cancel my enrollment? Will I get a refund?

Yes, you can cancel your enrollment if necessary. We will refund the course price after deducting an administration fee. To learn more, you can view our Refund Policy.

Do I need to leave my job for this program?

No, the program is designed in such a way that, you can continue with your job along with this program. It will be a mix of pre-recorded videos, live classes as well as printed study material. Every topic would be project-based and will be taught as per the live market scenario. The course module will be covered under the guidance of Industry Experts.

Will Bygrad help me with project completion?

There are two types of projects:

a. Practice projects: Your mentor will first do 3-4 projects for you and then you will do the next 5-6 projects wherein you will get help from your mentor and on tickets.

b. Evaluation projects: Once you’re done with the practice projects, you get access to the evaluation projects.

What if I miss a live online class?

In case you miss a class, you need not to worry. All the live classes’ recordings will be available on your LMS. You can watch and practice the concepts at your own time.

What will be the training mode?

There are two training modes:

a. Self-paced: You will get access to Bygrad and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects at your own pace. Mentor support will be provided.

b. Blended: You will get access to Bygrad and IBM joint LMS wherein you will be assigned courses and projects. You will need to go through these courses and complete the projects at your own pace. In addition to these courses, live online classes are conducted on Saturdays and Sundays for you. Mentor support will be provided.