Data Warehousing Courses and Certifications

Data Warehousing Concepts

5195 ratings at DataCamp

This introductory and conceptual course will help you understand the fundamentals of data warehousing.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Career Certificate

Data Warehousing for Business Intelligence

4149 ratings at Coursera

Design and build a data warehouse: model structured data, write SQL, integrate large data sets, and create dashboards and visual analytics with MicroStrategy OLAP.

• Coursera
• 32 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 5 courses

Data Warehousing and Business Intelligence

131 ratings at Coursera

Learn data warehousing architectures and multidimensional modeling: compare Kimball and Inmon, build star and snowflake schemas, and develop classification, clustering, and association mining models.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• Paid Course

Business intelligence and data warehousing

104 ratings at Coursera

Design star and snowflake data models, load a data warehouse via ETL, write OLAP queries in MySQL, run predictive analysis in RapidMiner, and query HDFS with MapReduce.

• Coursera
• 6 weeks, 2 hours a week
• Self-Paced
• Paid Course

Fundamentals of Data Warehousing

69 ratings at Coursera

Learn the core traits of data warehouses — subject-oriented, integrated, time-variant, nonvolatile — plus ETL and ELT, metadata, and single-, two-, and three-tier architectures.

• Coursera
• 3 weeks, 5 hours a week
• Self-Paced
• Paid Course

Data Warehousing Capstone Project

30 ratings at Coursera

Build an end-to-end warehouse solution: design a MySQL OLTP platform, implement a data warehouse with reports and dashboards, and run shell-script ETL into PostgreSQL staging via cron.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Coursera

Data Warehousing: Schema, ETL, Optimal Performance

18 ratings at Coursera

Design data warehouse schemas, implement ETL processes to load and transform data, and apply performance optimization techniques that support business intelligence.

• Coursera
• 2 hours 36 minutes
• Self-Paced
• Paid Course

Data Warehousing and Integration Part 1

Design data warehouses: build multidimensional conceptual models, map them to star, snowflake and constellation schemas, handle slowly changing dimensions, and query with OLAP SQL and window functions.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Data Warehousing Essentials for Analytics and AI Support

Learn on-premises data warehouse architecture and dimensional modeling: ERD conceptual design, relational normalization to 3NF, SQL querying, and OLAP data cubes with facts, measures, and hierarchies.

• Coursera
• 4 weeks, 4 hours a week
• Self-Paced
• Paid Course

Coursera

Data Modeling & Warehousing Fundamentals in Data Engineering

Design star schema data warehouses: model dimensions, normalize to Third Normal Form with indexing, write SQL window functions, configure streaming replication, and build MERGE-based incremental loads.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Evaluate Storage for Data Warehousing Success

Compare columnar and row-oriented storage for analytical workloads: benchmark Parquet, ORC, and Avro on compression ratios, ingestion speed, and query performance to justify architecture choices.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Introduction to Data Warehousing and Data Mining

Examines how data warehouses integrate historical data from multiple sources for organizational analysis, alongside ETL, OLAP, data mining, and visualization.

• Swayam
• 12 weeks
• Available until Oct 31, 2026
• Free Online Course

Data Warehousing and BI Analytics

24 ratings at edX

This course introduces you to designing, implementing and populating a data warehouse and analyzing its data using SQL & Business Intelligence (BI) tools.

• edX
• 6 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

Data Warehousing Certification Training

Master data warehousing concepts: dimensions and facts, normalization and schemas, data modeling, and ETL, applied in a hands-on project.

• Edureka
• Self-Paced
• Paid Course