In this course, you will gain a comprehensive understanding of data science and its key statistical methods. Data science plays a crucial role in making data-driven decisions in today's business, technology, and research environments.

Foundations of Data Science and Statistical Methods
Ends soon! Grow on your schedule with big savings on Coursera Plus. Save 40% for 3 months.

Foundations of Data Science and Statistical Methods
This course is part of CompTIA DataX Study Guide Specialization

Instructor: Wiley Skills Network
Included with Learn more
Recommended experience
What you'll learn
Understand the fundamental concepts, workflows, and real-world applications of data science.
Apply basic statistical methods to analyze and interpret datasets effectively.
Implement data collection, ingestion, and storage techniques for structured data management.
Skills you'll gain
- Exploratory Data Analysis
- Data Analysis
- Data Storage
- Data Management
- Linear Algebra
- Probability Distribution
- Data Science
- Data Pipelines
- Machine Learning
- Statistical Analysis
- Statistical Methods
- Statistics
- Probability & Statistics
- Data Quality
- Data Collection
- Statistical Machine Learning
- Data-Driven Decision-Making
Details to know

Add to your LinkedIn profile
April 2026
4 assignments
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There are 4 modules in this course
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor

Offered by
Explore more from Data Analysis

John Wiley & Sons

University of Pittsburgh

John Wiley & Sons

University of Colorado Boulder
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.





