返回到 Statistics Foundations
Meta

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.

状态:Statistical Methods
状态:Marketing Analytics
初级课程小时

精选评论

JA

5.0评论日期: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.

FK

5.0评论日期:Oct 24, 2022

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

AF

4.0评论日期: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

AK

5.0评论日期:Mar 8, 2026

Good course, teaches statistics in a practical business sense.

DD

5.0评论日期: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

4.0评论日期: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.

MM

5.0评论日期:Oct 20, 2022

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

ER

5.0评论日期:Jul 28, 2025

waiting for more such content about statistics foundation ,highly recommend this course.!!!!!

LL

5.0评论日期: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.

HS

5.0评论日期:Jun 12, 2024

Best course so far in this Professional Certificate

AE

5.0评论日期:May 7, 2024

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

JD

5.0评论日期: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!

所有审阅

显示:20/82

Samantha Li
3.0
评论日期:Apr 20, 2022
Fahad Khan
5.0
评论日期:Oct 25, 2022
Anna Wolna-Nocoń
4.0
评论日期:Apr 14, 2023
Ahmad Ahsan Akbar
5.0
评论日期:Jul 4, 2023
Edgar Morfin
3.0
评论日期:Jul 4, 2022
Husaina Dewaswala
3.0
评论日期:Jan 6, 2025
Alexander Hodin Cooperstone
1.0
评论日期:Sep 29, 2024
Abdelrahman Olwan
1.0
评论日期:Mar 15, 2022
Bruce McClelland
5.0
评论日期:Mar 7, 2024
Carl Sanchez
5.0
评论日期:Mar 14, 2023
Otuniyi Olatunji
5.0
评论日期:May 20, 2022
Marcos Avila
5.0
评论日期:Aug 11, 2024
Christine Marquis
5.0
评论日期:Sep 12, 2022
Shorouq Ahmad
5.0
评论日期:May 8, 2024
lu lu
5.0
评论日期:Aug 31, 2022
Leila Duarte
5.0
评论日期:Jan 22, 2025
Jalen Durham
5.0
评论日期:Feb 14, 2023
Desh
5.0
评论日期:Mar 19, 2025
Jeremiah Abok
5.0
评论日期:Jun 20, 2024
Javed Aslam
5.0
评论日期:Oct 5, 2023