Homework 11: Histograms, Quartiles and Box Plots (m2-05)
- Due: September 19, 2021
Lab: Simpson's Paradox
- Due: September 20, 2021
Week 4: DataFrame Conditionals and EDA
This week you will learn about ways data scientists describe and summarize large datasets with single values (descriptive statistics), how we form complex groups of data with Python, and begin to dive into Wade’s favorite topic (data visualizations):
Week 3: DataFrame Conditionals and EDA
In this shorted week (no lecture/homework on Monday in observance of Labor Day), you will explore using conditionals with DataFrames and begin to learn about exploring dataset through Exploratory Data Analysis (EDA):
Week 2: Working with Pandas + Observation Studies
This week, explore how to select a subset of rows from a DataFrame and observational studies:
- Row Selection with DataFrames
- Observational Studies, Confounders, and Stratification
- Simpson’s Paradox
In addition, there is a quick, mastery-based homework for every lecture and you’ll begin to work with DataFrames in Python in
Week 1: The Beginning
We (Wade and Karle) sent out an e-mail Monday morning, make sure to view that for important links to the course discord, and more!
This week, explore the basics of data science through four lectures:
- What is Data Science?
- Types of Data
- Experimental Design and Blocking
- Python for Data Science: Introduction to DataFrames
Make sure to complete the homework assignments for each and attend your lab section to get hands-on experience and for getting your computer set up to be do data science! :)
Welcome to Data Science Discovery!
Lecture and Labs both start Week 1! We will post the Week 1 Lecture videos on our course website by 10am on Monday. Talk to you soon! :)