Introducing Data Science for Beginners

Course Description (Short)

Data Science for Beginners focuses on foundational concepts and practical applications of Data Science. You will discover how Data Science is defined and learn about ethical considerations that must be considered by a data scientist. You will also learn how data is defined and learn a bit about statistics and probability, the core academic domains of Data Science.

Course Format

Our curricula are structured with a modified Project-Based pedagogy and include:

• a pre-lesson warmup quiz

• a written lesson

• video

• knowledge checks

• a project to build

• infographics, sketchnotes, and visuals

• a challenge

• an assignment

• a post-lesson quiz

• opportunities to deepen your knowledge on Microsoft Learn

Course Length

Data Science for Beginners: 10 Weeks, 20 Lessons, Data Science for All!

Course Accreditation

None

Cost

Free

Access

No restrictions

Skills Covered

Data Science for Beginners focuses on foundational concepts and practical applications of Data Science.

Topics

1. Defining Data Science

1. Data Science Ethics

1. Defining Data

1. Introduction to Statistics and Probability

You'll learn how to work with different types of data and using Python libraries like Pandas for doing more with your data and how to make sense of it all with visualizations.

Finally, you'll learn of how data science is applied through the Data Science Lifecycle, in the cloud, and real examples.

Matched Skills and Levels from NCF Competencies

• DSC2 L2: Actively identifies and takes opportunities to further own professional development.