I am currently enrolled in a specialization program on Coursera titled, Data Analysis and Interpretation. This program is administered by Wesleyan University in partnership with DrivenData and The Connection and involves analysis and research on real-world datasets. The program is made up of 4 courses and a capstone:
- Data Management & Visualization
- Data Analysis Tools
- Regression Modeling in Practice
- Machine Learning for Data Analysis
- Capstone (either with DrivenData or The Connection)
Students are required to blog about their research and data analysis assignments. This post is the first of many to come as I progress through this program. Each post will contain in the title “Data Analysis & Interpretation” plus course and week numbers. For example:
Data Analysis & Interpretation 1.1 = Course 1 and Week 1 of the program
Data Analysis & Interpretation 2.3 = Course 2 and Week 3 of the program
…and so forth.
I believe each course has 4 weeks of assignments. So I should have 4 blog posts for each course.
Throughout the course you have the choice of learning and using either SAS or Python. Since I already have some proficiency in Python, this will be my programming language of choice.
Each post will be filed under the category “Data Analysis & Interpretation Series”. I hope others will find this series insightful and educational.