Introduction to Data Science

Currently offered Live Online. Find all current course info here: https://www.thisismetis.com/courses/introduction-to-data-science

COURSE DESCRIPTION

This course serves as an introduction to the data science principles required to tackle real-world, data-rich problems in business and academia, including:

-Data acquisition, cleaning, and aggregation
-Exploratory data analysis and visualization
-Feature engineering
-Model creation and validation
-Basic statistical and mathematical foundations for data science

WHO IS THIS COURSE FOR?

You have a strong desire to learn data science through top-quality instruction, a basic understanding of data analysis techniques and an interest in improving their ability to tackle data-rich problems in a systematic, principled way. This course provides structure and accountability to ensure you stay on track, finish strong, and achieve your desired outcomes.

OUTCOMES

-An understanding of problems solvable with data science and an ability to attack them from a statistical perspective.
-An understanding of when to use supervised and unsupervised statistical learning methods on labeled and unlabeled data-rich problems.
-The ability to create data analytical pipelines and applications in Python.
-Familiarity with the Python data science ecosystem and the various tools needed to continue developing as a data scientist.

WHAT YOU’LL RECEIVE UPON COMPLETION

-Certificate of completion
-3.3 Continuing Education Units

CONSIDERING OUR IMMERSIVE DATA SCIENCE BOOTCAMP?
Part-time course alumni can apply the amount of tuition paid for one part-time course towards enrollment in an upcoming bootcamp upon admittance