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‹ Summary and Final Tasks up Lesson 3: Data visualization ›

EME 210: Data Analytics for Energy Systems

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Lessons

Orientation
Lesson 1: Getting Set Up and Started with Python
Lesson 2: Types of data and summarizing data
Lesson 3: Data visualization
Lesson 4: Confidence intervals and bootstrapping
Lesson 5: Hypothesis testing and randomization
Lesson 6: Normal distribution and Central Limit Theorem
Lesson 7: Chi-square Tests and ANOVA
Lesson 8: Linear regression
Lesson 9: Multiple Linear Regression

Authors: Eugene Morgan, Associate Teaching Professor and Renee Obringer, Assistant Teaching Professor, Energy Mineral Engineering, The Pennsylvania State University.

The College of Earth and Mineral Sciences is committed to making its websites accessible to all users, and welcomes comments or suggestions on access improvements. Please send comments or suggestions on accessibility to the site editor. The site editor may also be contacted with questions or comments about this course.

The John A. Dutton Institute for Teaching and Learning Excellence is the learning design unit of the College of Earth and Mineral Sciences at The Pennsylvania State University.

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