Sta 101 - Data Analysis and Statistical Inference (Summer 2018 - Term 1)

All videos and learning objectives as well as learning supplementary materials that you will need for preparing for the readiness assessments are hosted on Coursera.

To access these you will need to enroll in the following Coursera courses:

• Unit 1 and 2 - Introduction to probability and data: https://www.coursera.org/learn/probability-intro
• Unit 3, 4 and 5 - Inferential statistics: https://www.coursera.org/learn/inferential-statistics-intro
• Unit 6 and 7 - Linear regression and modeling: https://www.coursera.org/learn/linear-regression-model

Here is the content mapping between these courses and the units in STA 101:

• Unit 1: Introduction to probability and data, Weeks 1 and 2
• Unit 2: Introduction to probability and data, Weeks 3 and 4
• Unit 3: Inferential statistics, Weeks 1 and 2
• Unit 4: Inferential statistics, Week 3
• Unit 5: Inferential statistics, Week 4
• Unit 6: Linear regression and modeling, Weeks 1 and 2
• Unit 7: Linear regression and modeling, Week 3

If you do not already have a Coursera account, you will need to sign up for one.

If you would like to use your Duke ID for your account, you can go to https://www.coursera.org/sso/duke and click “Log In via Duke University”.

Select ‘audit’ when you enroll in the course to access the materials for free. Once you’ve enrolled the course, go to the course website, click ‘Go to Course’, and then click ‘Preview Course’ to view the videos.

From these links you will access:

• the videos
• the learning objectives
• practice quizzes (if you’d like the additional practice, these are not graded)

You do not need to worry about anything else on Coursera, and you can ignore any “deadlines” listed there. We are just using this platform to access some resources, nothing on the platform is graded for this course.

You do not need to pay to access the materials needed for the course.