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Data Warehousing and Business Intelligence

Master data warehouse architectures and data mining techniques for effective business decision-making.

Master data warehouse architectures and data mining techniques for effective business decision-making.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Database Design and Operational Business Intelligence Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.5

(94 ratings)

5,314 already enrolled

Instructors:

English

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Data Warehousing and Business Intelligence

This course includes

6 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Understand data warehousing architectures and ETL processes

  • Master multidimensional data modeling techniques

  • Develop predictive data mining models for classification

  • Implement clustering and association analysis

  • Apply data warehousing concepts for business intelligence

Skills you'll gain

Data Warehousing
Business Intelligence
ETL
Data Mining
Multidimensional Modeling
Predictive Analytics
Data Clustering
Market Basket Analysis
Star Schema
Snowflake Schema

This course includes:

PreRecorded video

4 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

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Certificate

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There are 4 modules in this course

This comprehensive course covers data warehousing and business intelligence fundamentals. Students learn about different data warehousing architectures, ETL processes, and multidimensional data modeling using star and snowflake schemas. The course also explores data mining techniques for both predictive and explanatory modeling, including classification, clustering, and association analysis. Special emphasis is placed on practical applications in business decision-making and modern approaches like cloud data warehousing and NoSQL databases.

Overview of Data Warehousing

Module 1 · 1 Hours to complete

Multidimensional Modeling for Data Warehousing

Module 2 · 1 Hours to complete

Data Mining for Prediction and Explanation

Module 3 · 1 Hours to complete

Data Mining for Clustering and Association

Module 4 · 1 Hours to complete

Fee Structure

Instructor

Tim Carrington
Tim Carrington

4.5 rating

180 Reviews

28,107 Students

6 Courses

Experienced Technology Consultant and Educator

Tim Carrington is an experienced technology consultant with expertise in system administration, enterprise IT, and cloud solutions. He has a strong track record of providing valuable insights and practical training in the field of IT management. With a passion for teaching, Tim strives to simplify complex technical concepts and help students develop the skills needed to excel in IT and cybersecurity. Through his courses, Tim offers comprehensive guidance on topics such as Linux System Administration, Cloud Infrastructure Management, and other critical areas of enterprise IT systems. His hands-on approach and clear explanations make him a trusted resource for both beginners and seasoned professionals looking to deepen their understanding of IT technologies.

Data Warehousing and Business Intelligence

This course includes

6 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.5 course rating

94 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.