Data Science
With this course, you’ll learn the tools, techniques, and fundamental concepts you need to know to make an impact as a data scientist. During the course of the program, you’ll work through messy, real-world data sets to gain experience across the data science stack: data munging, exploration, modeling, validation, visualization, and communication.
COURSE CURRICULUM
Course Curriculum:
- What is Data Science
- Research Design and Pandas
- Statistics Fundamental I
- Statistics Fundamental II
- Instructor Choice
Unit 2:
- Foundations of Data Modeling
- Introduction to Regression
- Evaluating Model Fit
- Introduction to Classification
- Introduction to Logistic Regression
- Communicate Results from Logistic Regression
- Flexible Class Session
Unit 3:
- Data Science in the Real World
- Decision Trees and Random Forest
- Natural Language Processing
- Dimensionality Reduction
- Working with Time Series Data
- Creating Models with Time Series Data
- The Value of Databases
