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Case Studies from Retail and E-commerce

4.25
average rating

Ratings

Beginner

Level

6.0 Hrs

Learning hours

18.7K+
local_fire_department

Learners

Enroll free with email

Skills you will learn

Time series forecasting
Clustering
Market Basket Analysis
Regression
CART
Random Forest

About this Course

The term retail is nowadays used for both traditional in-store retail and e-commerce. Modern technologies influence the retail and e-commerce industry and help people in building their businesses. As worldwide retail and e-commerce are on growth, it is important to navigate the challenges and opportunities in the retail and e-commerce industry. This course contains e-commerce case studies for students that will help you understand how brands have adopted various strategies to stay competitive in the industry. 

As Data Science has become an integral part of the digital transformation of retail, the course will take you through e-commerce data science case studies that will help you understand the role of data science in retail and e-commerce. Learn skills like Time series forecasting, Clustering, CART, regression, and more in the retail and e-commerce industry. At the end of the course, applying these skills in the industry will be directed with summarised recommendations and actionable insights.

Great Learning offers multiple programs in the field of Management, Digital Marketing, and data science. Choose the right program for you that focuses on your career goals. Join our Best Online MBA Degree Program that provides an advanced certificate from Great Learning and Jain University, #6 among private universities in India.  Be a part of the GL community and take your career to the next level.

Why upskill with us?

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Course Outline

Predicting YoY Retails Sales Value using Time Series Forecasting
Applications of Analytics in Ecom
Hands-on use case: Predict customer lifetime value
Hands-on use case: Predict purchasing intention of online shoppers
Hands-on use case: Customer segmentation for targeted marketing (Clustering)
Hands-on use case: Market Basket Analysis (Association Rules)
Course wrap-up: Summarize recommendations & actionable insights

Case Studies from Retail and E-commerce

4.25
average rating

Ratings

6.0 Hrs

Learning hours

Beginner

Level

18.7K+
local_fire_department

Learners

Enroll free with email

Trusted by 10 Million+ Learners globally

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