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Marketing Analytics: Forecasting Models with Excel

Master Marketing Analytics| Forecasting and Time Series analysis | Sales Forecasting| Build Forecasting models in Excel

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Marketing Analytics: Forecasting Models with Excel

What you'll learn

Learn about two of the most used forecasting tools: simple linear and simple multiple regression

Become proficient in using powerful tools such as excel solver to create forecasting models

Indepth knowledge of data collection and data preprocessing for Linear Regression problem

Understand how to interpret the result of Linear Regression model and translate them into actionable insight

Learn forecasting for new product launch with little or no history about sales of a product

Our Happy Students!

Awesome course. I would like to thanks my instructor for launching effective course in marketing analytics.


Siddikur M.

I learned a lot and the teacher explains well the course is excellent I will give five stars


Mahdi Ahmed H.

The course is excellent. I never thought it would be this good. The course content and the pace was excellent as well. I recommend this to everyone who creates charts and does forecast in his/her day-to-day activities.


Shrikanya G.

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

Basics of Forecasting
Getting Data Ready for Regression Model
Forecasting using Regression Model
Handling Special evets like Holiday sales
Identifying seasonality & trend for forecasting
Handling Changing Trend & Seasonality over time
Forecasting models for New Products
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