Overview
Business Intelligence Concepts, Tools, and Applications specialization offered by Coursera in partnership with University of Colorado System is the fourth course in the Data Warehouse for Business Intelligence specialization.
Ideally, the courses should be taken in sequence. Effectively and efficiently mining data is the very center of any modern business’s competitive strategy, and a data warehouse is a core component of this data mining.
Key facts
- The ability to quickly look back at early trends and have the accurate data – properly formatted – is essential to good decision making. By enabling this historical overview, a data warehouse allows decision makers to learn from past trends and challenges. In essence, the benefit of a data warehouse is continuous improvement.
- By the end of the course, you will be able to enhance Conformity And Quality of Data by gaining the knowledge and skills for using data warehouses for business intelligence purposes and for working as a business intelligence developer.
- You’ll have the opportunity to work with large data sets in a data warehouse environment and will learn the use of MicroStrategy's Online Analytical Processing (OLAP) and Visualization capabilities to create visualizations and dashboards.
Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
Programme Structure
Courses included:
- Decision Making and Decision Support Systems
- Business Intelligence Concepts and Platform Capabilities
- Data Visualization
- Dashboard Design
- Business Performance Management Systems
- BI Maturity, Strategy, and Summative Project
Key information
Duration
- Part-time
- 21 days
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Business Intelligence View 82 other Short Courses in Business Intelligence in United StatesWhat 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
- This course is aimed at learners and professionals who want to develop skills in business intelligence and data warehousing to analyze large datasets, create visualizations, and support data‑driven decision‑making.
Tuition Fees
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
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.