Can I take the course for free?

No, you cannot take this course for free. When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. If you cannot afford the fee, you can apply for financial aid.

Will I earn university credit for completing the Specialization?

This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

Data Analytics & Visualization All-in-One For Dummies Specialization

Ends in 3 days! Save 40% on your access to 10,000+ programs and make a real impact in your career. Save now.

Data Analytics & Visualization All-in-One For Dummies Specialization

Foundations and Tools for Data Visualization.

Learn data analytics, visualization, and BI with Power BI, Tableau, SQL, R, and Python

Instructor: Wiley Skills Network

Included with Learn more

Ask Coursera

3 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

3 course series

Get in-depth knowledge of a subject

Beginner level

Recommended experience

4 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Analyze and manipulate data using SQL, R, and Python for practical applications
Create and deploy visualizations using Power BI and Tableau for storytelling
Prepare, model, and present data effectively across analytics platforms

Details to know

Shareable certificate

Add to your LinkedIn profile

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Advance your subject-matter expertise

Learn in-demand skills from university and industry experts
Master a subject or tool with hands-on projects
Develop a deep understanding of key concepts
Earn a career certificate from John Wiley & Sons

Specialization - 3 course series

This Specialization introduces the foundations of data analytics and visualization, starting with definitions, roles, big data concepts, data lakes, and data science fundamentals. Learners explore storytelling with data and build core Power BI skills, including data preparation, model design, and basic and complex visualizations.

The second course deepens visualization expertise with Tableau, covering data connections, Tableau Prep workflows, advanced preparation, desktop navigation, and visualization techniques, culminating in effective storytelling and cloud collaboration.

The third course applies analytics concepts through SQL, R, and Python, emphasizing query design, data manipulation, statistical functions, graphical representation, and visualization with ggplot2 and Matplotlib. The sequence reinforces cumulative skills across platforms for comprehensive applied competence. This Specialization is based on the book Data Analytics & Visualization All-in-One For Dummies, by Jack Hyman

Applied Learning Project

Applied practice activities integrated throughout the courses provide structured opportunities for learners to apply key concepts and methods in realistic contexts. Through guided analysis, reflection, and skill application, participants engage with authentic challenges aligned to the subject matter and develop practical competence in solving domain-relevant problems.

Foundations of Data Analytics and Visualization

Course 1, 9 hours

What you'll learn

Analyze and interpret data from diverse sources using foundational analytics techniques
Prepare, model, and visualize data effectively in Power BI for clear business insights
Apply data storytelling principles to present actionable findings and visualizations

Mastering Data Visualization with Power BI and Tableau

Course 2, 6 hours

What you'll learn

Prepare, cleanse, and model data in Power BI and Tableau for visualization
Design and deploy interactive dashboards to communicate actionable insights
Collaborate and publish visualizations using Tableau Cloud and Power BI tools

Applied Data Science with SQL, R, and Python

Course 3, 11 hours

What you'll learn

Execute SQL queries, joins, and optimizations to manipulate complex datasets
Perform statistical analysis and visualizations using R and ggplot2
Process and visualize data using Python and Matplotlib for actionable insights

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

Wiley Skills Network

John Wiley & Sons

138 Courses9,845 learners

Offered by

John Wiley & Sons

Why people choose Coursera for their career

Felipe M.

Learner since 2018

"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."

Jennifer J.

Learner since 2020

"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."

Larry W.

Learner since 2021

"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Frequently asked questions

This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.