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

4.6
stars
80 ratings

Akshay Sivadas +1 more instructor

4,166 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 prepared to identify and test the best solutions for improving performance and integrating concepts from operational excellence methodologies for optimum data-driven decision making. The course begins with a focus on deciphering the root cause of problems through a variety of tools before determining and assessing best-fit solutions. Learners discover how to apply ISO, Lean and Six Sigma in the pursuit of aligning organizational operations data with performance standards. Hospitality, manufacturing and e-commerce case studies help illustrate how to build data literacy while ensuring privacy and data ethics measures are in place. 
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 third 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

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 3 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

Describe techniques to Identify root causes of variation and tools for evaluating potential solutions
Apply the Design of Experiments (DOE) technique to test improvement options
Evaluate, for a specific organization, which operational excellence methodology provides the maximum value
Explain how to foster a culture of data literacy

Skills you will gain

ISO 9001: 2015
Lean
Design of Experiments (DOE)
Data-Driven Decision Making
Six Sigma

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 3 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

4.66/5 (31 Ratings)

Akshay Sivadas

Co-Founder and CEO, Quicware

Quicware

19,369 Learners

3 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

Week1

Week 1

2 hours to complete

Applying Analytics to Implement Solutions

2 hours to complete

4 videos (Total 37 min), 5 readings, 1 quiz

4 videos

Introduction to Applied Analytics and Data for Decision Making31sIdentifying Root Causes15mBest Fit Solutions7mTesting Solutions12m

5 readings

Welcome Message and Course Overview5mAcknowledgements2mIdentifying Root Causes Resources (Optional)30mBest Fit Solutions Resources (Optional)20mTesting Solutions Resources (Optional)20m

1 practice exercise

Applying Analytics to Implement Solutions Assessment30m

Week2

Week 2

3 hours to complete

Data-Driven Operational Excellence

3 hours to complete

5 videos (Total 31 min), 4 readings, 1 quiz

Week3

Week 3

4 hours to complete

Applying Data-Driven Decisions

4 hours to complete

6 videos (Total 28 min), 5 readings, 1 quiz

6 videos

A Data Literacy Culture 5mDan Gerena Discusses Implementation Challenges2mData Ethics and Privacy4mHospitality Case Study6mManufacturing Case Study5mE-Commerce Case Study4m

5 readings

A Data Literacy Culture Resources (Optional)30mData Ethics and Privacy Resources (Optional)40mResources for Data-Driven Decision Making in Hospitality (Optional)30mResources for Data-Driven Decision Making in Manufacturing (Optional)30mResources for Data-Driven Decision Making in Ecommerce (Optional)30m

1 practice exercise

Applying Data-Driven Decisions to Real-World Challenges30m

Week4

Week 4

3 hours to complete

Project: Applied Analytics and Data for Decision Making

3 hours to complete

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

Reviews

4.6

18 reviews

5 stars
75%
4 stars
16.25%
3 stars
5%
2 stars
1.25%
1 star
2.50%

TOP REVIEWS FROM APPLIED ANALYTICS AND DATA FOR DECISION MAKING

by NKOct 23, 2021

I do recommend it for all data owners to look into area of improvement and understand how to close gabs using the right techniques

by RFOct 10, 2021

Bastante útil, se aprenden diversas estrategias y/o prácticas para mejorar procesos en cualquier organización

by HFSep 26, 2022

It is a hepful course for me that i learned investment analysis that will help me to work with reducing investment risks and making decision based on data.

by TAOct 23, 2021

I think the course is excellent but we need more practics or resources for practics.

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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Applied Analytics and Data for Decision Making

About this Course

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