Week 1: Intro to Data Science concepts and Python 101
Week 2: This week you’ll dive into Python. You’ll learn programming basics, how Jupyter Notebooks work, and advanced Python functions
Week 3: Dive deeper into Python. Learn Data manipulation, visualization, and math basics for that are necessary to be successful in data science
Week 4: Students learn Stats 101 for Data Science and then learn advanced Linear regressions, and how to validate results.
Week 5: This week we learn How to approach a data set that we’ve never seen before - Exploratory Data Analysis and then are introduced to the basic statistical models used for predictions.
Week 6: This week students dive deeper into advanced supervised and unsupervised learning.
Week 7: This week we finish up supervised/unsupervised learning models and begin learning features and are introduced to Features.
Week 8: Further Explore more sophisticated model approaches to our data and how to create complete data pipelines.
Week 9: Advanced model evaluating and Presentations.