Data Science for Beginners

Data Science for Beginners

Data Science for Beginners introduces students to how data is collected, organized, and used to find patterns and make decisions. Through real-world examples, visual explanations, and guided activities, students learn to interpret data without heavy math or coding. No prior experience is required.

What’s Included

Live Meetings

Total Meetings

8 Meetings

Homework

Homework

20 minutes/week

Assessment

Assessment

Quizzes + Mini Proj

Certificate of Completion

Certification

Will be provided by PenguinLearn.

What You Will Learn

By the end of this course, students will understand what data science is and how data is used to answer questions and make decisions in the real world. They will learn how information is collected, organized, and analyzed to uncover patterns. Students will explore key concepts such as datasets, averages, trends, outliers, and data visualization. Lessons emphasize clear thinking and interpretation rather than advanced math or coding. Classes are taught through visual slides, real-world examples, interactive discussion, and guided practice. By the end of the course, students will be able to analyze simple datasets, draw meaningful conclusions, and think critically about data they encounter in everyday life.

Rayan Sudeora profile
Meet Your Teacher
Rayan Sudeora
UC Berkeley Data Science & Cognitive Science student passionate about teaching students how to think clearly, solve problems, and understand modern technology.
Ask A Question 💬

Syllabus

What is Data Science?

Students are introduced to data science and how data is used in everyday life. We explore examples of data-driven decisions and what questions data can help answer.

Types of Data

This lesson covers different types of data, including numerical and categorical data. Students learn how information can be organized and why structure matters.

Currently Offered Sections

Loading available classes...