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
Data Analysis and Visualization
This course is part of Data-Driven Decision Making (DDDM) Specialization
Instructors: Peter Baumgartner
Sponsored by Coursera Learning Team
17,262 already enrolled
Gain insight into a topic and learn the fundamentals.
4.7
(149 reviews)
Beginner level
Recommended experience
Flexible schedule
Approx. 11 hours
Learn at your own pace
95%
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
Details to know
Shareable certificate
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Assessments
3 assignments
Taught in English
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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.
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There are 4 modules in this course
This module provides an overview of the tools needed for data analysis.
What's included
6 videos6 readings1 assignment
This module covers SPC, a way to analyze variation over time in your process using data. It is helpful in identifying current problems and can also be used to monitor the process for any deviations once the process is ‘in control'.
What's included
5 videos5 readings1 assignment
This module provides tools for leveraging data through visualization and translation.
What's included
7 videos5 readings1 assignment
This module provides an opportunity to bridge theory and practice. Learners apply knowledge from this course to solve a business problem.
What's included
1 video1 reading1 peer review1 discussion prompt
Instructors
Instructor ratings
4.6 (46 ratings)
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Learner reviews
4.7
149 reviews
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5.36%
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Showing 3 of 149
BA
5
Reviewed on Jun 13, 2022
Awesome feeling! I am grateful Coursera. Thank you enoumously.
VG
4
Reviewed on Dec 16, 2020
Examples and better instructions on the assignment would improve this course.
FA
4
Reviewed on Jul 17, 2022
It was very good. just the last project was a bit confusing and not so clear. But the concepts in general are great.
Recommended if you're interested in Business
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