Throughout the specialization, you will apply the skills you learn to business problems and data sets. You will have opportunities to build conceptual models of business and simple database models, practice data extraction using SQL, apply predictive and prescriptive analytics to business problems, develop models for decision making, interpret the software output, and finally present results and share findings. We will use basic Excel and the software tool Analytic Solver Platform (ASP), which is a plug-in for Excel. Learners participating in assignments will be able to get free access to the software.
Advanced Business Analytics Specialization
Gain Real-World Business Analytics Skills. Leverage data to solve complex business problems.
About This Specialization
The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results. The problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving. Check out a one-minute video about this specialization to learn more!
Follow the suggested order or choose your own.
Designed to help you practice and apply the skills you learn.
Highlight your new skills on your resume or LinkedIn.
- Intermediate Specialization.
- Some related experience required.
Introduction to Data Analytics for BusinessCurrent session: May 21
About the CourseThis course will expose you to the data analytics practices executed in the business world. We will explore such key areas as the analytical process, how data is created, stored, accessed, and how the organization works with data and creates the env
Predictive Modeling and AnalyticsCurrent session: May 21
About the CourseWelcome to the second course in the Data Analytics for Business specialization! This course will introduce you to some of the most widely used predictive modeling techniques and their core principles. By taking this course, you will form
Business Analytics for Decision MakingCurrent session: May 21
- 4 weeks of study, 3-4 hours per week
About the CourseIn this course you will learn how to create models for decision making. We will start with cluster analysis, a technique for data reduction that is very useful in market segmentation. You will then learn the basics of Monte Carlo simulation that w
Communicating Business Analytics ResultsCurrent session: May 21
About the CourseThe analytical process does not end with models than can predict with accuracy or prescribe the best solution to business problems. Developing these models and gaining insights from data do not necessarily lead to successful implementations. This
Advanced Business Analytics CapstoneUpcoming session: May 28
About the Capstone ProjectThe analytics process is a collection of interrelated activities that lead to better decisions and to a higher business performance. The capstone of this specialization is designed with the goal of allowing you to experience this process. The capstone
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