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Statistics Foundations

This course takes a deep dive into the statistical foundation upon which data analytics is built. The first part of this course will help you to thoroughly understand your dataset and what the data actually means. Then, it will go into sampling including how to ask specific questions about your data and how to conduct analysis to answer those questions. Many of the mistakes made by data analysts today are due to a lack of understanding the concepts behind the tests they run, leading to incorrect tests or misinterpreting the results. This course is tailored to provide you with the necessary background knowledge to comprehend the "what" and "why" of your actions in a practical sense. By the end of this course you will be able to: • Understand the concept of dependent and independent variables • Identify variables to test • Understand the Null Hypothesis, P-Values, and their role in testing hypotheses • Formulate a hypothesis and align it to business goals • Identify actions based on hypothesis validation/invalidation • Explain Descriptive Statistics (mean, median, standard deviation, distribution) and their use cases • Understand basic concepts from Inferential Statistics • Explain the different levels of analytics (descriptive, predictive, prescriptive) in the context of marketing • Create basic statistical models for regression using data • Create time-series forecasts using historical data and basic statistical models • Understand the basic assumptions, use cases, and limitations of Linear Regression • Fit a linear regression model to a dataset and interpret the output using Tableau • Explain the difference between linear and multivariate regression • Run a segmentation (cluster) analysis • Describe the difference between observational methods and experiments This course is designed for people who want to learn the basics of descriptive and inferential statistics.

Status: Statistical Methods
Status: Marketing Analytics
BeginnerCourse21 hours

Featured reviews

JA

5.0Reviewed Oct 4, 2023

Great teacher Camron Dodd. He explained every topic in this course with excellence. I suggest it to everybody who is interested in Data Analytics.

HS

5.0Reviewed Jun 12, 2024

Best course so far in this Professional Certificate

AK

5.0Reviewed Mar 8, 2026

Good course, teaches statistics in a practical business sense.

AF

4.0Reviewed Nov 25, 2024

There were some errors in the videos, and I hope you can add how to download Tablue public or provide/use an alternative to it. thanks

LL

5.0Reviewed Aug 30, 2022

Statistics for Marketing has to be one of the best courses so far, mostly because it has been the most challenging, taking my knowledge and application of Statistical Analytics to the next level.

JD

5.0Reviewed Feb 13, 2023

Absolutely amazing course! Very straightforward and educational. No complicated lessons and perfect explanations for all topics! I wish the rest of the courses were like this! Wonderful job!

FK

5.0Reviewed Oct 24, 2022

A​mazing, i learn alot of new concepts and surprised to see how stats is used in marketing. Thanks Coursera.

MM

5.0Reviewed Oct 20, 2022

J​ust need to improve the quality of videos (clearity and resolution)

JA

5.0Reviewed Jun 19, 2024

This course took me back to the very basics of statistics, presented in a very simple way. Remembering the simple things will help me understand the complex things later.

AE

5.0Reviewed May 7, 2024

I learned alot from this course and Big thanks to the instructors , They are all amazing !

DD

5.0Reviewed Mar 18, 2025

This course did a good job of covering basic statistics. The instructor was also great. She talked at a pace that was easy to follow unlike the guy who did the Python course.

SE

4.0Reviewed Aug 14, 2022

Very useful information and the course was conducted by a great teacher who knew how to deliver the information for people without background like myself. Thank you.

All reviews

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Samantha Li
3.0
Reviewed Apr 20, 2022
Fahad Khan
5.0
Reviewed Oct 25, 2022
Anna Wolna-Nocoń
4.0
Reviewed Apr 14, 2023
Ahmad Ahsan Akbar
5.0
Reviewed Jul 4, 2023
Edgar Morfin
3.0
Reviewed Jul 4, 2022
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3.0
Reviewed Jan 6, 2025
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1.0
Reviewed Sep 30, 2024
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1.0
Reviewed Mar 15, 2022
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5.0
Reviewed Mar 7, 2024
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5.0
Reviewed Mar 14, 2023
Otuniyi Olatunji
5.0
Reviewed May 20, 2022
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Reviewed Aug 12, 2024
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5.0
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Shorouq Ahmad
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Reviewed Aug 31, 2022
Leila Duarte
5.0
Reviewed Jan 22, 2025
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Reviewed Feb 14, 2023
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Reviewed Jun 20, 2024
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5.0
Reviewed Oct 5, 2023