About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 14 hours to complete

Suggested: 4 weeks of study, about 2.5 hours / week....

English

Subtitles: English

What you will learn

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    Use data analytics to predict demand with trend (as in new product introduction), seasonality, price elasticity and other environmental factors.

  • Check

    Identify the key drivers for demand and quantify their impact.

  • Check

    Build, validate and improve forecasting models with both continuous and categorical variables.

Skills you will gain

Model Selection Validation ImprovementRegression AnalysisDemand Planning and ForecastingData Visualization (DataViz)Marketing Analytics

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 14 hours to complete

Suggested: 4 weeks of study, about 2.5 hours / week....

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Welcome!

3 videos (Total 15 min), 2 readings, 2 quizzes
3 videos
Course overview5m
General principles of demand planning and forecasting5m
2 readings
Is this course right for me?20m
Four Pillars of Demand Planning Excellence30m
1 practice exercise
General principles30m
Week
2
2 hours to complete

Predicting Trend

5 videos (Total 23 min), 3 readings, 3 quizzes
5 videos
Data collection, pre-processing and visualization2m
Data visualization screencast3m
Build and interpret a linear model8m
Build and interpret a linear model screencast2m
3 readings
Software selection and preparation20m
The visualization example10m
Build and interpret a linear model: example10m
1 practice exercise
Predicting trend20m
Week
3
2 hours to complete

Predicting the Impact of Price and Other Environmental Factors

3 videos (Total 15 min), 1 reading, 3 quizzes
3 videos
Multiple regression for trend, price and other factors6m
Multiple regression screencast3m
1 reading
Multiple regression example10m
2 practice exercises
Model validation and improvement25m
Multiple regression15m
Week
4
2 hours to complete

Predicting Seasonality

3 videos (Total 17 min), 2 readings, 2 quizzes
3 videos
Forecasting and testing4m
Forecasting and testing screencast4m
2 readings
Categorical variables example10m
Forecasting and testing example10m
1 practice exercise
Modeling and formatting categorical variables10m

Instructor

Avatar

Yao Zhao

Professor
Supply Chain Management

About Rutgers the State University of New Jersey

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.