In this course you will learn basic statistical concepts and apply various tools and techniques of time series and regression models which help the participants to meet their forecasting needs and to come up with forecast of sales, demands, etc.

• Basic statistical concepts: standard error, confidence interval estimation, significance values in testing,
• Simple and Multiple regression
• Logit Probit Models
• Time Series Decomposition Models
• Smoothing Models
• Box Jenkins (ARIMA)
• ARIMA with regression errors and ARIMAX
• Bass Model for new product forecasting
• Combing Forecast and Forecast Evaluation
• Project work and presentations

Duration:-

• Start Date: 06 Feb, 17
• End Date: 10 Feb, 17
• Early Bird Cut-Off Date: 16 Jan, 17

Mode: Offline

Fees:  

Residential: Rs. 84,000/-(subject to availability of rooms on campus)

Non-residential: Rs. 74,000/-

Early bird cut-off date: 16-Jan-2017

Residential: Rs. 79,800/-

Non-residential: Rs. 70,300/-

Some knowledge in elementary statistics at 10+2 or undergraduate level.