Welcome to Business Intelligence: Strategies, Tools & Techniques
In this course you will learn the basic principles and elements of Business Intelligence and how to apply it to achieve sustainable and profitable business growth. By the end of the course, you will be able to build the fundamental architecture for functioning business intelligence systems with the support of data-mining & data-warehousing applications. You will have the knowledge you need to develop and launch a BI project – turning the flood of data into actionable information that helps your business succeed.
Finally, you'll discover how the applications and technologies join forces to access, analyze, and offer data that you can use to make better business decisions, improve your products, satisfy customers, overcome competitors, and more.
What you'll learn in this course:
Understand the basic principles and elements of Business Intelligence
Learn how Business Intelligence leads to sustainable and profitable growth
Learn how organizations use Business Intelligence systems
Learn what is data warehousing and how to utilize it
Understand the Business Intelligence process
Learn BI and Data Mining applications
Discover Data Mining tools, methods, and techniques
Learn Data Analysis
Learn Factor Analysis
Learn Cluster Analysis and Multidimensional Scaling
Discover best practices and pragmatic approaches
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Upclass is an online education company which is providing courses for a wide range of students delivered by competent instructors.
We create engaging and useful courses to help the students get on the life-long path to their individual goals in order to attain success in life.
We believe that the professionally designed and delivered online courses can be a game changer in today’s competitive environment. We use the best of the technology and innovation to help the students drive success for themselves.
Upclass provides online courses for a range of topics including - Business Intelligence & Business Analytics, Accounting, Information Technology, Investing, Marketing, Artificial Intelligence, Data Science, Data Analysis
