By the end of this course, learners are provided a high-level overview of data analysis and visualization tools, and are prepared to discuss best practices and develop an ensuing action plan that addresses key discoveries. It begins with common hurdles that obstruct adoption of a data-driven culture before introducing data analysis tools (R software, Minitab, MATLAB, and Python). Deeper examination is spent on statistical process control (SPC), which is a method for studying variation over time. The course also addresses do’s and don’ts of presenting data visually, visualization software (Tableau, Excel, Power BI), and creating a data story.
Data Analysis and Visualization
Save on skills that make you shine with 40% off 3 months of Coursera Plus. Save now
Data Analysis and Visualization
This course is part of Data-Driven Decision Making (DDDM) Specialization
Instructors: Peter Baumgartner
20,848 already enrolled
Included with
Gain insight into a topic and learn the fundamentals.
172 reviews
Beginner level
Recommended experience
Flexible schedule
1 week at 10 hours a week
Learn at your own pace
94%
Most learners liked this course
What you'll learn
Identify stakeholders and key components imperative to an analytics project plan
Name strengths and weaknesses of different analysis and visualization tools
Visually identify, monitor, and remove process variation
Explain how to create a compelling data story
Skills you'll gain
- Statistical Analysis
- Data Cleansing
- Data Quality
- Data-Driven Decision-Making
- Data Visualization Software
- Statistical Visualization
- Business Planning
- Tableau Software
- Process Capability
- Data Strategy
- Statistical Process Controls
- Business Analytics
- Data Presentation
- Data Analysis Software
- Data Storytelling
- Process Analysis
- Data Analysis
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Data-Driven Decision Making (DDDM) Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- 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.
Instructors
Instructor ratings
(56 ratings)
Explore more from Business Strategy
Status: Free Trial
Status: Free TrialUniversity of Colorado Boulder
Status: Free Trial
Status: Free Trial
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."
Learner reviews
- 5 stars
75%
- 4 stars
18.02%
- 3 stars
5.81%
- 2 stars
0.58%
- 1 star
0.58%
Showing 3 of 172
VG
Reviewed on Dec 15, 2020
Examples and better instructions on the assignment would improve this course.
OM
Reviewed on Jul 11, 2022
A very educative course indeed. Thanks to Coursera and its multiple partners who made this possible. lam forever grateful for being afforded such an opportunity. Thanks to the course facilitators.
BA
Reviewed on Jun 12, 2022
Awesome feeling! I am grateful Coursera. Thank you enoumously.
¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.