Data AnalysisData Visualization (DataViz)Mathematical OptimizationSQLData ModelData QualityRegression AnalysisData CleansingPredictive ModellingExploratory Data AnalysisSimulationBusiness Analytics
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Skills you will gain
About this Specialization
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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!
Applied Learning Project
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.
Learner Career Outcomes
50%
Started a new career after completing this specialization.
Learner Career Outcomes
50%
Started a new career after completing this specialization.
100% online courses
Start instantly and learn at your own schedule.
Flexible Schedule
Set and maintain flexible deadlines.
Intermediate Level
Some related experience required.
Approx. 4 months to complete
Suggested 7 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.
There are 5 Courses in this Specialization
Introduction to Data Analytics for Business
673 ratings
This 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 environment in which analytics can flourish.
Predictive Modeling and Analytics
260 ratings
Welcome to the second course in the Data Analytics for Business specialization!
Business Analytics for Decision Making
313 ratings
In 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 will help you model the uncertainty that is prevalent in many business decisions. A key element of decision making is to identify the best course of action. Since businesses problems often have too many alternative solutions, you will learn how optimization can help you identify the best option. What is really exciting about this course is that you won’t need to know a computer language or advanced statistics to learn about these predictive and prescriptive analytic models. The Analytic Solver Platform and basic knowledge of Excel is all you’ll need. Learners participating in assignments will be able to get free access to the Analytic Solver Platform.
Communicating Business Analytics Results
160 ratings
The 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 depends on the ability to communicate results to those who make decisions. Presenting findings to decision makers who are not familiar with the language of analytics presents a challenge. In this course you will learn how to communicate analytics results to stakeholders who do not understand the details of analytics but want evidence of analysis and data. You will be able to choose the right vehicles to present quantitative information, including those based on principles of data visualization. You will also learn how to develop and deliver data-analytics stories that provide context, insight, and interpretation.
Offered by
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.
Reviews
4.4
TOP REVIEWS FROM ADVANCED BUSINESS ANALYTICS
by LVMay 21, 2017
very well presented. best in the specialization so far
by RMSep 10, 2019
Professor is a little tough to understand, so I had to read the transcript during some of the videos. However, once I got the XLMiner issues resolved, it continued to be a great class and experience.
by JHJan 29, 2020
Very good introduction course. Clear and understandable explanations for beginners, good structure and helpful examples. Also the provided slides are beneficial for later reference and repetition.
by CCSep 8, 2018
Really like the course and learned a lot. Wish that the quizzes didn't offer as much guidance on the steps to use XL Miner. Because this is given, it's not fully testing students on the material
by KTNov 19, 2017
Great course to start your career in Business Analytics. Rich content and well organised. Thoroughly enjoyed doing this course. Highly recommended this course for Analytics enthusiasts.
by MWJun 24, 2017
The case studies used in the course point out how complicated analytics can be, but the reality check is useful to set real world expectations. Overall, this course is very valuable and
by HASep 11, 2017
I love this course. the lecture teach me to have a framework of thinking to become an analyst. Although some course need more references from internet, overall the course is great
by NHJul 11, 2017
The instructor is great. However, I would like to know the solutions for the exam. I sometimes pass the exam but struggle with certain questions but had no clue how to resolve it.
Frequently Asked Questions
What is the refund policy?
Can I just enroll in a single course?
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.
Is financial aid available?
Can I take the course for free?
Is this course really 100% online? Do I need to attend any classes in person?
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.
How long does it take to complete the Specialization?
Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in four to five months.
What background knowledge is necessary?
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.
Do I need to take the courses in a specific order?
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.
Will I earn university credit for completing the Specialization?
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.
What will I be able to do upon completing the Specialization?
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.