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Statistics for Business Analytics using MS Excel

Learn how probability & statistics is used for business & business strategy. Make statistical business models in Excel

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Google Data Studio

What you'll learn

Learn the concepts of Probability and statistics required for making business decisions

Use concept of Statistical inference to make statistics-based judgement of business scenarios

Knowledge of data-related operations such as calculating, transforming, matching, filtering, sorting, and aggregating data

Solve business case-studies with Excel's data analytics tools such as solver, goal seek, scenario manager, etc

Learnr important probability distributions such as Normal distribution, Poisson distribution, Exponential distribution, Binomial distribution etc

Our Happy Students!

Very good. Equations and how they are used manually gives an understanding of what is actually happening which is not necessarily the case when using the software


Alan M.

The lecturer explained the materials really clearly. I understood it almost immediately


Nathanael Jovan S.

Excellent course! Well explained with examples, graphs and business scenarios.


Mumtaj A.

Course Instructors

Abhishek Bansal

Co-Founder, Instructor

Ex-Airtel, FMS Delhi, IIT Roorkee
Worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.

Pukhraj Parikh

Co-Founder, Instructor

Ex-EXL, IIM Ahmedabad, IIT Roorkee
Worked as a Project manager in an Analytics consulting firm. Pukhraj has multiple years of experience working on analytics tools and software.

Course Completion Certificate​

Once you successfully complete the course, Start-Tech Academy will provide you with an industry-recognized course completion certificate

Course Content

Course Content

excel for data analytics
introduction to probability
probability distribution concepts
types of discreet probability distribution
types of Continuous probability distribution
statistical inference
hypothesis testing
optimizing business models
predictive analytics – preparing the data
building a linear regression model
bonus section