This course is part of the Data-Driven Decision Making (DDDM) Specialization

4.7
stars
88 ratings

Peter Baumgartner +1 more instructor

8,670 already enrolled

Offered By

University at Buffalo

The State University of New York

Data-Driven Decision Making (DDDM) SpecializationUniversity at Buffalo

About this Course

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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.              
Material features online lectures, videos, demos, project work, readings and discussions. This course is ideal for individuals keen on developing a data-driven mindset that derives powerful insights useful for improving a company’s bottom line. It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations. It is the second course in the Data-Driven Decision Making (DDDM) specialization. To learn more about the specialization, check out a video overview at  https://www.youtube.com/watch?v=Oi4mmeSWcVc&list=PLQvThJe-IglyYljMrdqwfsDzk56ncfoLx&index=11.

Flexible deadlines

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Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 2 of 3 in the

Data-Driven Decision Making (DDDM) Specialization

Beginner Level

It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.

Approx. 11 hours to complete

English

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What you will 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 will gain

Data visualization tools
Data storytelling
Data analysis tools
Data-Driven Decision Making
Statistical process control (SPC)

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 3 in the

Data-Driven Decision Making (DDDM) Specialization

Beginner Level

It is helpful if learners have some familiarity with reading reports, gathering and using data, and interpreting visualizations.

Approx. 11 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.56/5 (30 Ratings)

Peter Baumgartner

Operational Excellence Director

The Center for Industrial Effectiveness

15,606 Learners

2 Courses

Brittany O'Dea

Offered by

University at Buffalo

The State University of New York

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Syllabus - What you will learn from this course

Content Rating96%(1,022 ratings)

Week1

Week 1

3 hours to complete

Data Analysis Software Tools

3 hours to complete

6 videos (Total 24 min), 6 readings, 1 quiz

6 videos

Introduction to Data Analysis and Visualization40sContext, Objectives, and Analysis Plans4mExcel, R, MINITAB, MATLAB, and Python7mTechniques and Best Practices6mDan Gerena Discusses Maximizing the Value of Data2mIntroduction to Visualization2m

6 readings

Welcome Message and Course Overview5mAcknowledgements2mContext, Objectives, and Analysis Plans Resources (Optional)40mData Analysis Tools Resources (Optional)30mTechniques and Best Practices Resources (Optional)30mIntroduction to Visualization Resources (Optional)20m

1 practice exercise

Data Analysis Software Tools30m

Week2

Week 2

3 hours to complete

Statistical Process Control (SPC)

3 hours to complete

5 videos (Total 17 min), 5 readings, 1 quiz

Week3

Week 3

4 hours to complete

Data Visualization and Translation

4 hours to complete

7 videos (Total 36 min), 5 readings, 1 quiz

7 videos

Guiding Principles8mData Story6mTableau, Excel, and Power BI6mDan Gerena Discusses Data Visualization3mInsight Evaluation4mTesting and Re-Evaluation3mDan Gerena Discusses Sustaining a Data-Driven Strategy3m

5 readings

Guiding Principles Resources (Optional)30mData Story Resources (Optional)30mVisualization Tools Resources (Optional)40mInsight Evaluation Resources (Optional)30mTesting and Re-Evaluation Resources (Optional)20m

1 practice exercise

Data Visualization and Translation 30m

Week4

Week 4

2 hours to complete

Project: Data Analysis and Visualization

2 hours to complete

1 video (Total 1 min), 1 reading, 1 quiz

Reviews

4.7

17 reviews

5 stars
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4 stars
15.90%
3 stars
6.81%
2 stars
1.13%

TOP REVIEWS FROM DATA ANALYSIS AND VISUALIZATION

by VGDec 15, 2020

Examples and better instructions on the assignment would improve this course.

by AJun 12, 2022

Awesome feeling! I am grateful Coursera. Thank you enoumously.

by OMJul 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.

View all reviews

About the Data-Driven Decision Making (DDDM) Specialization

This specialization explains why it is important to leverage data when contemplating organizational choices, and supplies the tools at the heart of data-driven decision making (DDDM). The three-course series explores how technology enables the collection and organization of unprecedented amounts of data, and how to dissect that data to gain powerful insights. Course topics include analyzing process maps for driving improvement, software for maximizing data analysis, statistical process control, creating metrics dashboards and translating data stories, and the connection between operations technology metrics and organizational performance. Content touches on leadership’s role in instituting an internet of things (IoT) strategy in manufacturing and service environments. Lessons feature case studies highlighting ROI achieved through DDDM, and the cultural changes required for success.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
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.

More questions? Visit the Learner Help Center.

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Data Analysis and Visualization

About this Course

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