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EME 210
Data Analytics for Energy Systems

Geography Department Penn State

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Lesson 1: Getting Set Up and Started with Python

Overview
What are data?
Why Python?
Understanding Python
Getting Started with Python and Google Colab
Getting Help
Python Coding Fundamentals: Libraries
Data Structures
Data Structures: Pandas
Importing Files: Option 1
Importing Files: Option 2
Importing Files: Option 3
Dictionaries vs. DataFrames
Summary and Final Tasks
Lesson 1 FAQ

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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.

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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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