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Learner Reviews & Feedback for Statistics Foundations by Meta

4.7
stars
258 ratings

About the Course

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....

Top reviews

LL

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

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!

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26 - 50 of 58 Reviews for Statistics Foundations

By Richard M

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May 20, 2024

This course is good for a beginner

By Lilly T

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Mar 21, 2024

What I learnt was so useful!

By Bharadwaj P

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Sep 26, 2024

Wonderfully crafted course!

By Gabriel E A A

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Apr 22, 2022

was amazing and very fun.

By RAJANI K C

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Jan 7, 2023

A well organized course.

By Oladayo F

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Jun 15, 2022

Detailed and insightful.

By Sandro G C

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May 11, 2023

Excellent course!!!

By eebbncathy

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Aug 21, 2024

great explanation!

By Henny V N

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Oct 15, 2024

Thank You So Much

By Juan A M

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Sep 5, 2024

I learned a lot!

By UmamaheswaraRao P

•

Dec 21, 2022

EXCELLENT COURSE

By Luis H C S

•

Nov 15, 2024

Great Course

By Alejandro G

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Dec 8, 2022

Me encantó.

By Holger J M R

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Nov 12, 2022

Good Course

By Patrick C

•

Jan 15, 2022

exceptional

By Ligia C

•

Sep 29, 2022

very easy

By Juan H R C

•

Jun 29, 2024

MUY BUENO

By Youssef A

•

Jul 12, 2023

wonderful

By Wendor D S V

•

Jul 1, 2024

muy bien

By Sardor S

•

Oct 22, 2024

JJaja

By Manish M

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Nov 26, 2023

nice

By Sebastian E

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Aug 15, 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.

By Hazel L

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Jan 14, 2022

Really helped to understand statistics

By niels g

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Aug 20, 2024

great and clear

By Abdulrahman A

•

Aug 13, 2024

If you don't have experience in data modeling or analysis, this course is good. However, if you do have experience, I don't think you'll learn much that's new. The GAI course is interesting but generic; most of the information can be found online with a simple search. The capstone projects are well-structured with clear steps, but it might be more beneficial to provide data and let students do the analysis without the guided steps. Overall, it was okay. If you lack experience in analysis or statistical modeling, this is a good beginner course.