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Your Learner Verification

This is to verify that Jisan Ahmed has completed the course Introduction to Business Intelligence on Alison.

Jisan Ahmed

Alison ID: 61109054

Course Completed: Introduction to Business Intelligence

Date of Completion: 29th September 2026

Email: [email protected]

Total Study Time: 8h 25m

Final Assessment Score:

Alison courses requires at least
80% to pass the final assessment

96%
CPD Hours Completed:

CPD approved learning hours
completed through this course

7-9h

Course Information

Learn how business intelligence harnesses data analysis and management to boost profits in this free online course.

Does your organisation’s decision-making process lack the necessary tools to convert large volumes of data into meaningful information? This course on business intelligence offers new ways to interpret data. We explore the origins and evolution of the term ‘business intelligence’ before discussing in detail the use of data science and real-time tools to improve business strategic planning.

Modern businesses around the globe are using state-of-the-art technologies and tools available to ensure data is used in the most constructive way possible. We explain information management concepts like data mining, data warehousing and metadata and how these practices can maximise customer satisfaction. After information is gathered, it must be visualised and presented to relevant stakeholders to guide their decisions. We lay out the data management practices that drive this process.

Do you want to master some basic programming languages used for data analysis? We outline the basic concepts and advantages of the programming languages SQL and Python. Proper application of business intelligence principles form a crucial component of almost all successful enterprises today. Sign up for this data science course to learn how to use business intelligence tools to analyse information and make smart managerial decisions.

Modules Completed

Module 1: Introduction to Business Intelligence
Module 2: Business Intelligence and Data
Module 3: Course assessment

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