Name: Statistics Foundations
Brand: Meta
Availability: OnlineOnly
Rating: 4.8 (79 reviews)

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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....

76 - Statistics Foundations 的 81 个评论（共 81 个）

创建者 Abdulrahman A

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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

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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

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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.