Overview
Context
This is your chance to dive into the worlds of marketing and business analytics using R. Day by day, there are a multitude of decisions that companies have to face. With the help of statistical models, you're going to be able to support the business decision-making process based on data, not your gut feeling.
Let us show you what a great impact statistical modeling can have on the performance of businesses. You're going to learn about and apply strategies to communicate your results and help them make a difference in this Machine Learning for Marketing Analytics in R course offered by Data Camp.
Programme Structure
Chapters
- Modeling Customer Lifetime Value with Linear Regression
- Logistic Regression for Churn Prevention
- Modeling Time to Reorder with Survival Analysis
- Reducing Dimensionality with Principal Component Analysis
Key information
Duration
- Part-time
- 1 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Machine Learning View 210 other Short Courses in Machine Learning in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- This course is targeted at advanced learners.
- This course would be beneficial for roles such as data scientists, marketing analysts, and customer insights specialists who are looking to hone their machine learning skills for marketing applications.
PREREQUISITES
- Introduction to Regression in R
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions