Overview
Our world has become increasingly digital, and business leaders need to make sense of the enormous amount of available data today. In order to make key strategic business decisions and leverage data as a competitive advantage, it is critical to understand how to draw key insights from this data. The Business Analytics course offered by Coursera in partnership with University of Illinois is targeted towards aspiring managers, senior managers, and business executives who wish to have a well-rounded knowledge of business analytics that integrates the areas of data science, analytics and business decision making.
The courses in this Specialization will focus on strategy, methods, tools, and applications that are widely used in business. Topics covered include:
- Data strategy at firms
- Reliable ways to collect, analyze, and visualize data–and utilize data in organizational decision making
- Understanding data modeling and predictive analytics at a high-level
- Learning basic methods of business analytics by working with data sets and tools such as Power BI, Alteryx, and RStudio
- Learning to make informed business decisions via analytics across key functional areas in business such as finance, marketing, retail & supply chain management, and social media to enhance profitability and competitiveness.
Applied Learning Project
A central premise of these courses is that applying targeted subject-matter expertise is crucial in order to frame the correct data problem, collect and analyze data, and to develop and operationalize performance metrics. Each subject area will be followed by an in-depth project-based application and analysis exercise.
Skills You Will Gain:
- Data Analysis
- Analytics
- Machine Learning
- Rstudio
- power bi
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Visit programme websiteProgramme Structure
Courses include:
- Introduction to Business Analytics with R
- Introduction to Business Analytics: Communicating with Data
- Tools for Exploratory Data Analysis in Business
- Machine Learning Algorithms with R in Business Analytics
- Applying Data Analytics in Marketing
- Applying Data Analytics in Accounting
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
- Flexible
Start dates & application deadlines
Language
Delivered
Disciplines
Business Intelligence View 135 other Short Courses in Business Intelligence in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Beginner level
- No prior experience required
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.