Data Science certificate program

The Data Science certificate prepares learners to develop skills in the field of data science and analytics. The course includes a wide range of data science topics, including Python refresher, advanced data types, data, databases and SQL, data exploration techniques – wrangling, PCA, decomposition and outlier detection, data visualization, and an introduction to machine learning and machine learning algorithms. The course includes labs using open-sourced tools to provide hands-on experience to go with the theoretical concepts.

* Look for this course to be offered in early winter *

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

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