Regression and Time Series Analysis

Setting up linear regression (33:40)
4 Topics | 6 Quizzes
Overview of data science (8:11)
Concept review 1: overview of data science
What is regression? (7:51)
Concept review 2: what is regression?
Building linear regression (10:23)
Concept review 3: building linear regression
Exercise set 1: basic linear regression (5:13)
Assessing your model’s accuracy (7:15)
Concept review 4: assessing your model’s accuracy
Feedback for “Setting up linear regression”
Measuring model errors (38:13)
4 Topics | 7 Quizzes
Calculating variance and standard deviation (8:11)
Concept review 5: calculating variance and standard deviation
Identifying outliers (11:26)
Concept review 6: identifying outliers
Exercise set 2: finding residuals and outliers (9:52)
Calculating covariance and correlation (8:05)
Concept review 7: calculating covariance and correlation
Testing a model’s significance (9:59)
Concept review 8: testing a model’s significance
Exercise set 3: calculating statistical significance (6:47)
Feedback for “Measuring model errors”
Modeling multiple variables (31:21)
4 Topics | 7 Quizzes
Building a multivariate model (8:00)
Concept review 9: building a multivariate model
Exercise set 4: visualizing correlations (5:22)
Plotting multivariate regression (8:56)
Concept review 10: plotting multivariate regression
Identifying multicollinearity (6:33)
Concept review 11: identifying multicollinearity
Exercise set 5: multivariate regression (8:55)
Datafying categorical variables (7:52)
Concept review 12: datafying categorical variables
Feedback for “Modeling multiple variables”
Adjusting your model (38:01)
4 Topics | 8 Quizzes
Validating your model (9:37)
Concept review 13: validating your model
Exercise set 6: categorical variables (7:34)
Testing for heteroscedasticity (7:51)
Concept review 14: testing for heteroscedasticity
Identifying important variables (11:40)
Concept review 15: identifying important variables
Exercise set 7: model selection (9:45)
Building nonlinear regression models (8:53)
Concept review 16: building nonlinear regression models
Exercise set 8: building non-linear regression (7:35)
Feedback for “Adjusting your model”
Adding seasonality to your model (35:40)
4 Topics | 6 Quizzes
Transforming variables (10:03)
Concept review 17: transforming variables
Identifying seasonality (7:31)
Concept review 18: identifying seasonality
Calculating seasonality (9:19)
Concept review 19: calculating seasonality
Exercise set 9: calculating seasonality (10:19)
Minimizing seasonality errors (8:47)
Concept review 20: minimizing seasonality errors
Feedback for “Adjusting seasonality to your model”
Refining your model (29:33)
5 Topics | 7 Quizzes
Calculating seasonality components (6:34)
Concept review 21: calculating seasonality components
Predicting customer demand (7:35)
Concept review 22: predicting customer demand
Exercise set 10: Holt-Winters modeling (5:13)
Using the LOESS method (6:52)
Concept review 23: using the LOESS method
Additional considerations and tips (8:32)
Concept review 24: additional considerations and tips
Exercise set 11: running LOESS models (9:42)
Feedback for “Refining your model”
End of course feedback survey
Next Lesson

Setting up linear regression (33:40)

Regression and Time Series Analysis Setting up linear regression (33:40)
Lesson Content
0% Complete 0/4 Steps
Overview of data science (8:11)
Concept review 1: overview of data science
What is regression? (7:51)
Concept review 2: what is regression?
Building linear regression (10:23)
Concept review 3: building linear regression
Exercise set 1: basic linear regression (5:13)
Assessing your model’s accuracy (7:15)
Concept review 4: assessing your model’s accuracy
Feedback for “Setting up linear regression”
Back to Course
Next Lesson
Log Into Data Society

Make better decisions with data.

  • Sign Up
  • Log In

Sign Up

Click an icon to connect with:
Facebook Google Twitter

Log In

Click an icon to connect with:
Facebook Google Twitter

Forgot Password?

Lost your password?

  • About Us
  • Achievements
  • Analyst Course Catalog
  • Analyst Courses Returning Soon
  • Books and resources
  • Careers
  • Content restricted
  • Dashboard
  • Data Science for Business – Kickstarter
  • Data sets
  • Data Society – Home
  • Data Society Corporate Training
  • Data Society Courses
  • Data Society Summer Special Deals
  • Data Society Webinars
  • Data Society’s Analyst Program
  • Data Society’s Leader Curriculum
  • Edit profile
  • Front Page
  • Group leader
  • Group Management
  • Group Management Buy Courses
  • Group Management Report
  • Group Quiz Report
  • Home
  • In-Person Training
  • Leaders Course Catalog
  • Log In
  • Membership
  • Membership Checkout
  • MLI Survey
  • My Notes
  • NASA_faq
  • NASA_login
  • Privacy Policy
  • Recover Password
  • Reporting
  • Shopping Cart
  • Terms of Use
  • Thank You
  • The Opportunity Project
  • Trademark and Copyright Policy
  • Train with Data Society
  • Train with DS 2
  • User Reporting
  • Video examples
  • Welcome to Data Society!
  • Woo Products Page
Login
Accessing this course requires a login. Please enter your credentials below!

Forgot Password?
Lost Your Password?