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Regression Analysis: Simplify Complex Data Relationships
  • Level Expert
  • المدة 32 ساعات hours
  • الطبع بواسطة Google
  • Offered by

عن

This is the fifth of seven courses in the Google Advanced Data Analytics Certificate. Data professionals use regression analysis to discover the relationships between different variables in a dataset and identify key factors that affect business performance. In this course, you’ll practice modeling variable relationships. You'll learn about different methods of data modeling and how to use them to approach business problems. You’ll also explore methods such as linear regression, analysis of variance (ANOVA), and logistic regression. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Explore the use of predictive models to describe variable relationships, with an emphasis on correlation -Determine how multiple regression builds upon simple linear regression at every step of the modeling process -Run and interpret one-way and two-way ANOVA tests -Construct different types of logistic regressions including binomial, multinomial, ordinal, and Poisson log-linear regression models

الوحدات

Get started with the course

    • 4 Videos
    • 2 Readings
    • 1 Quiz
Show info about module content

4 Videos

  • Introduction to Course 5
  • Tiffany: Gain actionable insights with regression models
  • Welcome to module 1
  • PACE in regression analysis

2 Readings

  • Helpful resources and tips
  • Course 5 overview

1 Quiz

  • Test your knowledge: PACE in regression analysis

Linear regression

    • 2 Videos
    • 1 Quiz
Show info about module content

2 Videos

  • Introduction to linear regression
  • Mathematical linear regression

1 Quiz

  • Test your knowledge: Linear regression

Logistic regression

    • 1 Videos
    • 1 Quiz
    • 1 Plugin
Show info about module content

1 Videos

  • Introduction to logistic regression

1 Quiz

  • Test your knowledge: Logistic regression

Review: Introduction to complex data relationships

    • 1 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

1 Videos

  • Wrap-up

1 Readings

  • Glossary terms from module 1

1 Quiz

  • Module 1 challenge

Foundations of linear regression

    • 3 Videos
    • 2 Readings
    • 1 Quiz
Show info about module content

3 Videos

  • Welcome to module 2
  • Jerrod: The incredible value of mentorship
  • Ordinary least squares estimation

2 Readings

  • Explore ordinary least squares
  • Correlation and the intuition behind simple linear regression

1 Quiz

  • Test your knowledge: Foundations of linear regression

Assumptions and construction in Python

    • 2 Videos
    • 2 Readings
    • 1 Quiz
    • 3 Lab
Show info about module content

3 Labs

  • Annotated follow-along guide: Explore linear regression with Python
  • Activity: Run simple linear regression
  • Exemplar: Run simple linear regression

2 Videos

  • Make linear regression assumptions
  • Explore linear regression with Python

2 Readings

  • The four main assumptions of simple linear regression
  • Code functions and documentation

1 Quiz

  • Test your knowledge: Assumptions and construction in Python

Evaluate a linear regression model

    • 2 Videos
    • 2 Readings
    • 1 Quiz
Show info about module content

2 Videos

  • Evaluate uncertainty in regression analysis
  • Model evaluation metrics

2 Readings

  • Interpret measures of uncertainty in regression
  • Evaluation metrics for simple linear regression

1 Quiz

  • Test your knowledge: Evaluate a linear regression model

Interpret linear regression results

    • 1 Videos
    • 1 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Evaluate simple linear regression
  • Exemplar: Evaluate simple linear regression

1 Videos

  • Interpret and present linear regression results

1 Readings

  • Correlation versus causation: Interpret regression results

1 Quiz

  • Test your knowledge: Interpret linear regression results

Review: Simple linear regression

    • 1 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

1 Videos

  • Wrap-up

1 Readings

  • Glossary terms from module 2

1 Quiz

  • Module 2 challenge

Understand multiple linear regression

    • 2 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

2 Videos

  • Welcome to module 3
  • Introduction to multiple regression

1 Readings

  • Multiple linear regression scenarios

1 Quiz

  • Test your knowledge: Understand multiple linear regression

Model assumptions revisited

    • 2 Videos
    • 1 Readings
    • 1 Quiz
    • 1 Plugin
Show info about module content

2 Videos

  • Represent categorical variables
  • Make assumptions with multiple linear regressions

1 Readings

  • Multiple linear regression assumptions and multicollinearity

1 Quiz

  • Test your knowledge: Model assumptions revisited

Model interpretation

    • 2 Videos
    • 1 Quiz
    • 1 Lab
Show info about module content

1 Labs

  • Annotated follow-along resource: Interpret multiple regression results with Python

2 Videos

  • Interpret multiple regression coefficients
  • Interpret multiple regression results with Python

1 Quiz

  • Test your knowledge: Model interpretation

Variable selection and model evaluation

    • 3 Videos
    • 1 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Perform multiple linear regression
  • Exemplar: Perform multiple linear regression

3 Videos

  • The problem with overfitting
  • Top variable selection methods
  • Regularization: Lasso, Ridge, and Elastic Net regression

1 Readings

  • Underfitting and overfitting

1 Quiz

  • Test your knowledge: Variable selection and model evaluation

Review: Multiple linear regression

    • 1 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

1 Videos

  • Wrap-up

1 Readings

  • Glossary terms from module 3

1 Quiz

  • Module 3 challenge

The chi-squared test

    • 2 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

2 Videos

  • Welcome to module 4
  • Hypothesis testing with chi-squared

1 Readings

  • Chi-squared tests: Goodness of fit versus independence

1 Quiz

  • Test your knowledge: The chi-squared test

Analysis of variance

    • 4 Videos
    • 1 Readings
    • 1 Quiz
    • 3 Lab
Show info about module content

3 Labs

  • Annotated follow-along guide: Explore one-way vs. two-way ANOVA tests with Python
  • Activity: Hypothesis testing with Python
  • Exemplar: Hypothesis testing with Python

4 Videos

  • Introduction to the analysis of variance
  • Explore one-way vs. two-way ANOVA tests with Python
  • ANOVA post hoc tests with Python
  • Ignacio: Discovery at every stage of your career

1 Readings

  • More about ANOVA

1 Quiz

  • Test your knowledge: Analysis of variance

ANCOVA, MANOVA, and MANCOVA

    • 2 Videos
    • 1 Quiz
Show info about module content

2 Videos

  • ANCOVA: Analysis of covariance
  • More dependent variables: MANOVA and MANCOVA

1 Quiz

  • Test your knowledge: ANCOVA, MANOVA, and MANCOVA

Review: Advanced hypothesis testing

    • 1 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

1 Videos

  • Wrap-up

1 Readings

  • Glossary terms from module 4

1 Quiz

  • Module 4 challenge

Foundations of logistic regression

    • 2 Videos
    • 1 Quiz
Show info about module content

2 Videos

  • Welcome to module 5
  • Find the best logistic regression model for your data

1 Quiz

  • Test your knowledge: Foundations of logistic regression

Logistic regression with Python

    • 1 Videos
    • 1 Quiz
    • 1 Lab
Show info about module content

1 Labs

  • Annotated follow-along resource: Construct a logistic regression model with Python

1 Videos

  • Construct a logistic regression model with Python

1 Quiz

  • Test your knowledge: Logistic regression with Python

Interpret logistic regression results

    • 3 Videos
    • 2 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Perform logistic regression
  • Exemplar: Perform logistic regression

3 Videos

  • Evaluate a binomial logistic regression model
  • Key metrics to assess logistic regression results
  • Interpret the results of a logistic regression

2 Readings

  • Common logistic regression metrics in Python
  • Interpret logistic regression models

1 Quiz

  • Test your knowledge: Interpret logistic regression results

Compare regression models

    • 1 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

1 Videos

  • Answer questions with regression models

1 Readings

  • Prediction with different types of regression

1 Quiz

  • Test your knowledge: Compare regression models

Review: Logistic regression

    • 1 Videos
    • 1 Readings
    • 1 Quiz
Show info about module content

1 Videos

  • Wrap-up

1 Readings

  • Glossary terms from module 5

1 Quiz

  • Module 5 challenge

Apply your skills to a workplace scenario

    • 3 Videos
    • 1 Readings
Show info about module content

3 Videos

  • Welcome to module 6
  • Leah: Strategies for sharing models and modeling techniques
  • Introduction to your Course 5 end-of-course portfolio project

1 Readings

  • Explore your Course 5 workplace scenarios

Automatidata scenario

    • 2 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Course 5 Automatidata project lab
  • Exemplar: Course 5 Automatidata project lab

2 Readings

  • Course 5 end-of-course portfolio project overview: Automatidata
  • Activity Exemplar: Create your Course 5 Automatidata project

1 Quiz

  • Activity: Create your Course 5 Automatidata project

TikTok scenario

    • 2 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Course 5 TikTok project lab
  • Exemplar: Course 5 TikTok project lab

2 Readings

  • Course 5 end-of-course portfolio project overview: TikTok
  • Activity Exemplar: Create your Course 5 TikTok project

1 Quiz

  • Activity: Create your Course 5 TikTok project

Waze scenario

    • 2 Readings
    • 1 Quiz
    • 2 Lab
Show info about module content

2 Labs

  • Activity: Course 5 Waze project lab
  • Exemplar: Course 5 Waze project lab

2 Readings

  • Course 5 end-of-course portfolio project overview: Waze
  • Activity Exemplar: Create your Course 5 Waze project

1 Quiz

  • Activity: Create your Course 5 Waze project

End-of-course portfolio project wrap-up

    • 1 Videos
    • 1 Quiz
Show info about module content

1 Videos

  • End-of-course project wrap-up and tips for ongoing career success

1 Quiz

  • Assess your Course 5 end-of-course project

Course review: Regression analysis: Simplifying complex data relationships

    • 1 Videos
    • 3 Readings
Show info about module content

1 Videos

  • Course wrap-up

3 Readings

  • Reflect and connect with peers
  • Course 5 glossary
  • Get started on the next course

Auto Summary

Enhance your data analytics skills with "Regression Analysis: Simplify Complex Data Relationships," a key course in Google's Advanced Data Analytics Certificate. Led by experienced Google professionals, this expert-level course focuses on modeling variable relationships using techniques like linear regression, ANOVA, and logistic regression. Perfect for data professionals aiming to deepen their understanding of predictive models, this 1920-minute course prepares you for advanced data analytics roles. Available on Coursera with Starter and Professional subscription options.

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