Data Science
Objective
The MicroMasters Program in Data Science is designed to provide learners with a comprehensive understanding of the core principles, tools, and practices that drive modern data analysis. Through a carefully curated set of courses—including Data Analysis with Python, Principles and Techniques of Data Science, Big Data Analysis, and Machine Learning—students will gain both theoretical knowledge and practical experience in data collection, preprocessing, statistical modeling, machine learning, and data visualization. Emphasis is placed on developing hands-on skills with real-world datasets and tools widely used in the industry. Upon completion, graduates will be prepared to tackle complex data challenges, uncover actionable insights, and contribute to data-driven decision-making in a wide range of domains.
Audience
This program is ideal for aspiring data professionals, engineers, and analytical thinkers who are eager to launch or advance their careers in the data science field. Whether you're looking to become a data analyst, data engineer, or data scientist, this MicroMasters will equip you with the critical skills and practical expertise required to thrive in today’s data-centric world.
Course List
This MicroMaster includes 6 courses as listed below.
Course Code | Course Title | Prerequisite |
---|---|---|
2010 | Python Programming | – |
3012 | Mathematics for AI & Data Science | – |
3010 | Programming for Data Analysis | Python Programming |
5016 | Principles and Techniques in Data Science | Python Programming |
5020 | Big Data Processing and Analysis | Programming for Data Analysis |
3014 | Machine Learning | Mathematics for AI & Data Science |