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Wes - Data Analysis Tools 

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Data Analysis Tools
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Overview

Duration

10 hours

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Data Analysis Tools
 at 
Coursera 
Highlights

  • 29% started a new career after completing these courses.
  • Earn a shareable certificate upon completion.
  • Flexible deadlines according to your schedule.
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Data Analysis Tools
 at 
Coursera 
Course details

More about this course
  • In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work.

Data Analysis Tools
 at 
Coursera 
Curriculum

Hypothesis Testing and ANOVA

Lesson 1 - The role of probability in inference

Lesson 2 - From sample to population

Lesson 3 - Steps in hypothesis testing

Lesson 4 - What is a p value?

Lesson 5 - How to choose a statistical test

Lesson 6 - Ideas behind ANOVA

SAS Lesson 7 - ANOVA: Explanatory variable with 2 levels

SAS Lesson 8 - ANOVA: Explanatory variables with more than 2 levels

SAS Lesson 9 - Post hoc tests for ANOVA

SAS Lesson 10 - ANOVA summary

Python Lesson 7 - ANOVA: Explanatory variables with two levels

Python Lesson 8 - ANOVA: Explanatory variables with more than 2 levels

Python Lesson 9 - Post hoc tests for ANOVA

Python Lesson 10 - ANOVA Summary

Choosing SAS or Python

Getting Started with SAS

Getting Started with Python

Course Codebooks

Course Data Sets

Uploading Your Own Data to SAS

SAS Program Code for Video Examples

Python Program Code for Video Examples

Getting set up for the assignments

Tumblr Instructions

Example: Running an analysis of variance

Chi Square Test of Independence

Lesson 1 - Ideas behind the Chi Square test of independence

SAS Lesson 2 - Chi Square Test of independence in practice

SAS Lesson 3 - Post hoc tests for Chi Square tests of independence

SAS Lesson 4 - Chi Square summary

Python Lesson 2 - Chi Square test of independence in practice

Python Lesson 3 - Post hoc tests for Chi Square tests of independence

Python Lesson 4 - Chi Square summary

SAS Program Code for Video Examples

Python Program Code for Video Examples

Example: Running a Chi-Square Test of Independence

Pearson Correlation

Lesson 1 - Pearson Correlation

Lesson 2 - Correlation Example

SAS Lesson 3 - Calculating Correlation

Python Lesson 3 - Calculating Correlation

SAS Program Code for Video Examples

Python Program Code for Video Examples

Exploring Statistical Interactions

SAS Lesson 1 - Defining moderation, a.k.a. statistical interaction

SAS Lesson 2 - Testing moderation in the context of ANOVA

SAS Lesson 3 - Testing moderation in the context of chi square

SAS Lesson 4 - Testing moderation in the context of correlation

Python Lesson 1 - Defining moderation, a.k.a. statistical interaction

Python Lesson 2 - Testing moderation in the context of ANOVA

Python Lesson 3 - Testing moderation in the context of Chi-Square

Python Lesson 4 - Testing moderation in the context of correlation

A Question of Causation (Used with Permission from Annenberg Learner)

SAS Program Code for Video Examples

Python Program Code for Video Examples

Data Analysis Tools
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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    Data Analysis Tools
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    Students Ratings & Reviews

    4/5
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    Prit Soni
    Data Analysis Tools
    Offered by Coursera
    4
    Learning Experience: The course is over all excellent
    Faculty: There is no live session or group study but the faculty is good The course curriculum is good the structure is also good
    Reviewed on 7 Jan 2023Read More
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    Data Analysis Tools
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