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Retail sales forecasting using Ensemble Time Series model - Himan Mookherjee

The Guest Lecture topic for this session was one of our most technical ever, but for the students of analytics, it was an extremely beneficial one. At ATI we strongly abide by the maxim that Analytics learning extends far beyond the confines of books and theories and Himan Mukherjee’s session helped drive this point home.

The technical points covered in the lecture were forecasting and its applications in retail as well as advanced concepts in time series analysis. Specific industry scenarios were appreciated by the audience and they were riveted during the entire class.

To find out more about Himan, you can view his profile on LinkedIn.

Photo by William Iven on Unsplash