Caroline Buckey
Software Engineer, Google
Intro to Data Analysis
Tackle real datasets from day one. With Pandas, NumPy, and Matplotlib, you’ll practice cleaning, analyzing, and visualizing data while learning to ask and answer meaningful questions.
- Course
- Intermediate
- 4.4 (448)
- Updated: May 14, 2026
Free Course
Intro to Data Analysis
Skills you'll learn
1 skill
- Linear regression
Prerequisites
0 prerequisites
No prior technical experience required.
You will need to be able to communicate fluently and professionally in written and spoken English.
Course Outline
- 6 lessons
Program Instructors
1 instructor
Unlike typical professors, our instructors come from Fortune 500 and Global 2000 companies and have demonstrated leadership and expertise in their professions:
Caroline Buckey
Software Engineer, Google
Reviews
Average Rating: 4.4 (448 Reviews)
Data analysis is the process of collecting, organizing, interpreting, and transforming data to discover useful information, identify patterns, support decision-making, and solve real-world problems effectively.
M
Melese Asaminew Beko
May 21, 2026
Data analysis is the process of collecting, organizing, interpreting, and transforming data to discover useful information, identify patterns, support decision-making, and solve real-world problems effectively.
M
Melese Asaminew Beko
May 21, 2026
Data analysis is the process of collecting, organizing, interpreting, and transforming data to discover useful information, identify patterns, support decision-making, and solve real-world problems effectively.
M
Melese Asaminew Beko
May 21, 2026
good very very
G
Ged Diones
May 19, 2026
excellent
R
Rahimush Teka umer
May 19, 2026
Free Course
Intro to Data Analysis