Data Science
Advance your knowledge and hone your skills in the world of data science through this course, designed for both beginners and experienced users, that covers a wide range of topics, including:
- Python introduction or refresher, depending on your current skill level
- advanced data types, databases, SQL, and data exploration techniques, including machine learning algorithms
- labs using open-sourced tools to translate concepts into practice and provide real-world context
Starts: Monday, September 12, 2022
Format: completely online, 6-week courses
Engagement: topical discussions on foundational course content, and current articles and media
Commitment: approximately 5-10h per week; 30-60 hours total for the program
Assessments and certification: successful completion of weekly assignments earns a Certificate of completion from the College of Engineering at WSU (Wayne State University)
Cost:
- WSU enrolled students: $250/course
- WSU Alums: $600/course
- Others: $1,200/course
* Discounts available for Corporate Partners or companies with 5+ registrants
Technology requirement: Any laptop or smartphone with internet access
Course Materials
Course materials will be available electronically at the start of the course.
Grading
INDIVIDUAL ASSESSMENTS: Individual assessments are not timed and are multiple-choice questions.
ENGAGEMENT: You must make at least 2 posts, per week. Your posts/comments can either be on the Course Feed or Course Help sections. For example, you can make 1 newsfeed and 1 discussion comment, 2 newsfeed comments or 2 discussion comments each week and receive full credit.
LAB SESSIONS:
- Lab sessions do not contribute to final certification grade.
- Labs involve running simulations using NumPy, Pandas, data manipulation and machine learning (ML) algorithms.
Course Schedule by Week
Week | Topics | Engagement | Individual Assessments | Lab Sessions |
---|---|---|---|---|
1 | Fundamentals of Data Science: Why Statistics? Intro to ML, and Structure | Engagement-1 | Individual Assessment-1 | Lab 1 |
2 | Python Refresher: Operators, Expressions, Functions, Data Structures and Strings | Engagement-2 | Individual Assessment-2 | |
3 | Advanced Data Manipulation: NumPy, Pandas | Engagement-3 | Individual Assessment-3 | Lab 2 |
4 | SQL in Data Science and Data Analysis | Engagement-4 | Individual Assessment-4 | |
5 | Factorization and Visualization | Engagement-5 | Individual Assessment-5 | Lab 3 |
6 | Machine Learning | Engagement-6 | Individual Assessment-6 |