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学生对 Meta 提供的 Statistics Foundations 的评价和反馈

4.7
361 个评分

课程概述

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....

热门审阅

JA

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.

MT

Jan 10, 2025

I enjoyed it. Clear definitions and clear examples. The capstone is optional but it's still a great oportunity to practice!

筛选依据:

51 - Statistics Foundations 的 75 个评论(共 77 个)

创建者 Sakumi G A S

Jun 1, 2025

5 estrellas

创建者 Ruzimurodov T

Apr 16, 2025

+++++++++++

创建者 Alejandro G

Dec 8, 2022

Me encantó.

创建者 Holger J M R

Nov 12, 2022

Good Course

创建者 Patrick C

Jan 15, 2022

exceptional

创建者 Ligia C

Sep 29, 2022

very easy

创建者 Ayrton L T

Apr 28, 2025

excelente

创建者 Windy A

Mar 31, 2025

Excelente

创建者 Juan H R C

Jun 29, 2024

MUY BUENO

创建者 Youssef A

Jul 12, 2023

wonderful

创建者 Wendor D S V

Jul 1, 2024

muy bien

创建者 Sardor S

Oct 21, 2024

JJaja

创建者 Wilder J B G

Sep 18, 2025

good

创建者 Fabian A O C

Aug 25, 2025

Good

创建者 Manish M

Nov 26, 2023

nice

创建者 IULIIA V

Mar 20, 2025

I can't measure the accuracy of the course material, but for me, this was a significant opportunity to understand what I need to know in statistics as a data analyst. The course is more suited for building an educational roadmap—many topics were covered somewhat weakly, but in general, it was helpful. Thanks a lot to the speakers and producers of the course.

创建者 Sebastian E

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.

创建者 ABDULLOH Y F

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

创建者 Hazel L

Jan 14, 2022

Really helped to understand statistics

创建者 Madeley R P C

Jul 30, 2025

Buen curso, completo.

创建者 niels g

Aug 20, 2024

great and clear

创建者 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.

创建者 Ahmed

Sep 3, 2024

I had hoped that along the videos walking us through the software, there would be a dataset one could download to follow along with the teacher. Missed opportunity to practice everything there is to learn especially when using spreadsheets or tableau it was very difficult to gather a dataset to follow along with the instructor.

创建者 Marya S

Oct 8, 2022

It is a good course for the basics. But it is always better to refer other sources along to get a clear picture of the statistical concepts. I did find some of the information to be not accurate.

创建者 Lokesh K

Aug 13, 2024

Ok-ish course. There are misses and mistakes in many places.