Free Online Course by Coursera on Statistics for Marketing

Coursera Platform is offering a free online course Under the theme of Statistics for Marketing.

This course takes a deep dive into the statistical foundation upon which Marketing Analytics is built. The first part of this course is all about getting a thorough understanding of a dataset and gaining insight into what the data actually means. The second part of this course goes into sampling and how to ask specific questions about your data. Finally, the third part is about answering those questions with analyses. Many of the mistakes made by Marketing Analysts today are caused by not understanding the concepts behind the analytics they run, which causes them to run the wrong test or misinterpret the results. This course is specifically designed to give you the background you need to understand what you are doing and why you are doing it on a practical level.

Course duration:

Approx. 17 hours to complete.

Course is for:

This course is designed for people who want to learn the basics of descriptive and inferential statistics and analytics in marketing. Learners don't need marketing or data analysis experience, but should have basic internet navigation skills and be eager to participate. Ideally learners have already completed course 1 (Marketing Analytics Foundation) and course 2 (Introduction to Data Analytics) in this program.

Course topics:

• Descriptive Statistics: This week you’ll get an overview of the Statistics for Marketing course and you will learn the basics of Descriptive Statistics and when to use them. You will also be introduced to Bayesian statistics. You will also get an overview of your capstone project and at the end of the week you will complete part one.
• Making Predictions with Inferential Statistics: This week you will be introduced to inferential statistics and how to define samples and populations for marketing. You’ll also be introduced to the concept of variables. At the end of the week you will complete part two of your capstone project.
• Designing Experiments and Testing Hypotheses: In week three, you’ll dig into how to formulate and test appropriate hypotheses for your business goals. You’ll wrap up the week with part three of your capstone project.
• Data Modeling: This week you’ll be introduced to various model families and how to create them using Tableau. You’ll also learn how to interpret the results of these models. You’ll complete the fourth and final part of your capstone project, which you will be submitting as a peer review next week.
• Using Statistics in Real-World Settings: This week you will combine and apply all the information you have learned throughout the course and submit your capstone project for peer review. You’ll finish out the course by hearing from a marketing analyst about how they apply the principles you learned in this course in the real-world.

Specialization costs:

Statistics for Marketing is part of the larger Meta Marketing Analytics Professional Certificate. Your 7-day free trial includes:

• Unlimited access to all courses in the Specialization including: Watching lectures, trying assignments, participating in discussion forums, and more.
• Canceling option at any time: No penalties - simply cancel before the trial ends if it's not right for you.
• $39 USD per month to continue learning after trial ends: Go as fast as you can - the faster you go, the more you save.
• Certificate when you complete, that you can share on your resume, LinkedIn, and CV.
• Learner who can’t afford to pay required fees is eligible to apply for financial aid, that allows him/her to get everything a fee-payer learner gets.

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