About this Specialization
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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 4 months to complete

Suggested 6 hours/week

English

Subtitles: English, Korean, Arabic

Skills you will gain

Data AnalysisData Visualization (DataViz)Mathematical OptimizationSQL

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 4 months to complete

Suggested 6 hours/week

English

Subtitles: English, Korean, Arabic

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 5 Courses in this Specialization

Course1

Introduction to Data Analytics for Business

4.7
520 ratings
123 reviews
Course2

Predictive Modeling and Analytics

3.8
213 ratings
64 reviews
Course3

Business Analytics for Decision Making

4.5
229 ratings
52 reviews
Course4

Communicating Business Analytics Results

4.4
119 ratings
20 reviews

Instructors

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David Torgerson

Instructor
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Dan Zhang

Professor
Leeds School of Business
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Manuel Laguna

Professor
Leeds School of Business

About University of Colorado Boulder

CU-Boulder is a dynamic community of scholars and learners on one of the most spectacular college campuses in the country. As one of 34 U.S. public institutions in the prestigious Association of American Universities (AAU), we have a proud tradition of academic excellence, with five Nobel laureates and more than 50 members of prestigious academic academies....

Frequently Asked Questions

  • 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, or you can audit it to view the course materials for free. 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.

  • 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.

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in four to five months.

  • Ideally, your background would include some basics of data manipulation, statistics, and models for decision making. Learners must have working knowledge of Excel and some basic understanding of high-level programming instructions. This is not a computer science specialization but students will be learning some basic commands in SQL.

  • Although the four courses in the specialization can be taken separately, they are deeply integrated around their lessons. We recommend taking them in the order that they are offered.

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • At the end of this specialization, you will be able to:

    Apply data analytics to business problems. This involves the entire business analytics process, from data capturing, extraction, analysis, modeling, and presentation of findings.

    Extract and manipulate data stored in large databases using SQL.

    Identify and apply statistical models that are commonly used to implement descriptive analytics.

    Apply predictive analytics tools to data sets and interpret results. In particular, you will be able to use Excel-based tools to construct models based on regression, simulation, and data mining.

    Apply prescriptive analytics tools to data sets and interpret results. In particular, you will be able to use Excel-based tools to construct models pertaining to linear programming, integer programming, and simulation-optimization methods.

More questions? Visit the Learner Help Center.