Business intelligence and data warehousing

Course Feature

Cost

Free
Provider

Coursera
Certificate

No Information
Language

English
Start Date

Self Paced
Learners

No Information
Duration

No Information
Instructor

/

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3.8

3,400 Ratings

This six-week course provides an introduction to Business Intelligence and Data Warehousing, with videos and documents to guide learners through the process of identifying, designing, and developing analytical information systems.

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Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 06th, 2023]

Business Intelligence and Data Warehousing is a course that covers the topics of Business Intelligence, Data Warehousing, Expected Return, and Sap Hana.
Learners of this course will gain an understanding of the fundamentals of Business Intelligence and Data Warehousing, including how to use these tools to gain insights from data, how to create data warehouses, and how to use Sap Hana to analyze data. They will also learn how to calculate expected returns from investments and how to use Business Intelligence and Data Warehousing to make informed decisions.
Possible development paths for learners of this course include becoming a Business Intelligence Analyst, Data Warehouse Manager, or Data Scientist. They could also pursue a career in finance, such as a Financial Analyst or Investment Banker, or in consulting, such as a Business Intelligence Consultant.
Learning suggestions for learners of this course include taking courses in data analysis, machine learning, and statistics. They should also consider taking courses in finance and economics to gain a better understanding of expected returns and investments. Additionally, they should consider taking courses in software engineering and database management to gain a better understanding of how to use Business Intelligence and Data Warehousing tools.

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Pros & Cons

Interesting topic, lots of information, good professor, awesome lessons, clears basics.

Limited guidance, time consuming, technical issues, unintelligible, no explanation.

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