Washington University in St. Louis
Instructor: Asim Banskota
Spring 2020, Wednesday, 6:00 PM - 9:00 PM , Cupples II, Room L015
Organizations are rapidly transforming the way they ingest, integrate, store, serve data, and perform analytics. In this course, students will learn the steps involved with designing and implementing data science projects. Topics addressed include: ingesting and parsing data from various sources, dealing with messy and missing data, transforming and engineering features, building and evaluating machine learning models, and visualizing results. Using Python based tools such as Numpy, Pandas, and Scikit-learn, students will complete a practical data science project that addresses the entire design and implementation process. Students will also become familiar with the best practices and current trends in data science including code documentation, version control, reproducible research, pipeline automation, and cloud computing. Upon completion of the course, students will emerge equipped with data science knowledge and skills that can be applied from day one on the job.
Week | Content |
---|---|
Week 1 1/15/2020 |
Introductions
Assignment 1.2: AWS fundamentals |
Week 2 1/22/2020 |
Python Fundamentals
|
Week 3 1/29/2020 |
Coding Best Practices in Data Science
Assignment 3.2. Exercise on code documentation and enforcing standards |
Week 4 2/5/2020 |
Modeling Overview
|
Week 5 2/12/2020 |
Accessing Data
|
Week 6 2/19/2020 |
Numpy/Pandas for Data Munging/Wrangling
|
Week 7 2/26/2020 |
Exploratory Data Analysis (EDA)
|
Week 8 3/4/2020 |
Data Preprocessing
|
Week 9 3/18/2020 |
Feature Transformation and Engineering
|
Week 10 3/25/2020 |
Building and Evaluating Models
|
Week 11 4/1/2020 |
Best practices in Machine Learning
|
Week 12 4/8/2020 |
1. Guest Lecture: Data Science at Wells Fargo 2. Discussion on final project status Quiz 2: Best practices on machine learning |
Week 13 4/15/2020 |
Productionize a Machine Learning model
|
Week 14 4/22/2020 |
Final Project Demo Short 5 minutes long individual project demo |