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Exploring Experimental Design in the Energy Field

Intermediate
Updated 05/2024
Analyze CO2 emissions across geographical regions and fuel sources to understand environmental impacts in the energy sector.
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1 Task1,500 XP328

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Project Description

Explore the energy sector to uncover insights into CO2 emissions. Employ pandas, data visualization, and statistical analysis, focusing on fuel source and emissions. Develop your data analysis skills by identifying experimental designs, interpreting results, and revealing significant patterns in energy consumption and environmental impact.

Project Tasks

  1. 1
    Answer experimental design and analysis questions

Technologies

Python Python

Topics

Probability & Statistics

Prerequisites

Experimental Design in Python
Dr. Chester Ismay HeadshotDr. Chester Ismay

Educator, Data Scientist, and R/Python Consultant

Chester enjoys helping others get into data science, figuring out how to best practice and improve on their skills, and working as a part-time consultant on R and Python programming projects. He is co-author of "Statistical Inference via Data Science: A ModernDive into R and the Tidyverse" available at moderndive.com and for purchase from CRC Press. He likes leading education and data science teams with the goal of improving best practices based on data from the learning sciences.
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