Data Warehousing Free Online Course with Certificate

Learn Data Warehouse and master practical implementation with industry insights!

  • Delve into the core concepts of data warehousing, understanding its purpose and architecture. 
  • Explore diverse data warehouse implementation methods and grasp data integration techniques. 
  • Hone your skills to extract meaningful insights from data and contribute to industry analyses. 
  • 450,000 + Professionals trained
  • 250 + Workshops every month
  • 100 + Countries and counting

Navigating the World of Data Warehousing

Dive into the transformative world of data warehousing through our comprehensive free Data Warehousing course online. Uncover data warehousing architecture, strategies, and analytical power, equipping you to master data management in today's dynamic landscape.

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  • 19+ Hours of Self-Paced Learning Content 

  • Test Your Learning with Recall Quizzes 

  • Unlock Knowledge with Interactive eBooks 

  • Accelerate Progress with Auto-Graded Assessments 

Ready to get started?

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The KnowledgeHut Edge

Superior Outcomes

Focus on skilled-based outcomes with advanced insights from our state-of-the art learning platform. 

Immersive Learning

Go beyond just videos and learn hands-on with guided exercises, projects, assignments and more. 

World-Class Instructors

Course instructors and designers from top businesses including Google, Amazon, Twitter and IBM. 

Continual Support

Learn better with support along the way. Get 24/7 help, stay unblocked and ramp up your skills

Real-World Learning

Get an intimate, insider look at leading companies in the field through real-world case studies. 

Industry-Vetted Curriculum

Curriculum primed for industry relevance with guidance from our Industry Advisory Boards.

prerequisites for Data Warehousing Free Course


  • Prior knowledge of relational databases is crucial for a solid foundation. 
  • Understanding database design concepts is advantageous for effective learning. 

What You Will Learn

Data Analysis for Decision Making

Learn all about organizing and analyzing large sets of data for well-informed decision making. 

Implementing Data Warehouse

Understand the various methods used for implementing a data warehouse. 

Data Integration Techniques

Understand the importance and techniques of data integration in data warehousing. 

Data Modelling Components

Understand the essential components and techniques of data modelling for data warehousing. 

Concept of a Data Warehouse

Learning Objective:

Understand the fundamentals of data warehousing, differentiating it from OLTP databases, and grasp the high-level architecture. 

  • Overview of Data Warehousing  
  • What is a Data Warehouse?  
  • Why Do We Need a Data Warehouse?  
  • Data Warehouse vs OLTP Database  
  • High Level Data Warehouse Architecture  

Learning Objective:

Explore varied data warehouse implementation approaches, including ODS, staging, data lakes, marts, cubes, and EDWs, while identifying key decision points and challenges

  • Operational Data Store (ODS)  
  • Staging  
  • Data Lake  
  • Data Mart  
  • Cube  
  • Enterprise Data Warehouse  
  • Data Virtualization  
  • Decision Points  
  • Data Warehousing Vs Data Mart  
  • Data Warehousing Challenges  

Learning Objective:

Differentiate ETL vs ELT, grasp data standardization and cleansing techniques, explore loading and transformation methods, and delve into event-driven integration. 

  • ETL vs ELT  
  • Data Standardization  
  • Data Cleaning  
  • Data Warehouse Loading Methods  
  • Data Transformation Methods  
  • Data Aggregation  
  • Frequency of Data Loading and Transformation  
  • Event-Driven Integration  

Learning Objective:

Discover data modeling techniques, normalized and dimensional models, facts, and dimensions, and learn to manage relationships and data aggregation. 

  • Types of Data Models  
  • Data Modeling Techniques  
  • Normalized Data Model  
  • Facts and Dimensions  
  • Relationships Between Tables  
  • Data Aggregation  

Frequently Asked Questions


Data Warehousing involves gathering, organizing, and centralizing diverse data for efficient querying, analysis, and reporting. It offers a structured framework for integration, transformation, and historical storage, empowering informed decisions through comprehensive insights. Data Warehousing enhances quality, accessibility, and consistency, providing a holistic view for business intelligence and analytics. 

A data warehouse engineer designs, constructs, and maintains data warehousing systems, facilitating efficient data storage, retrieval, and analysis. They collaborate with stakeholders to understand data requirements, implement ETL processes for data extraction, transformation, and loading, and optimize data models for performance. Data warehouse engineers ensure data quality, security, and integration from various sources, enabling informed decision-making. They possess expertise in database technologies, ETL tools, and programming languages, contributing to streamlined data management and empowering organizations to extract valuable insights for strategic business decisions. 

Learning Data Warehousing

Learning data warehousing empowers you to efficiently manage and analyze vast volumes of data, a critical skill in today's data-driven world. It provides a structured approach to organize, integrate, and store data from diverse sources, enabling informed decision-making. Mastery of data warehousing equips you with the ability to design effective data models, implement best practices, and extract valuable insights for industries like finance, healthcare, and telecommunications. By learning data warehousing, you unlock the potential to contribute meaningfully to data-driven strategies, enhance business performance, and excel in roles such as data analyst, business intelligence professional, or database administrator. 

You can learn data warehousing through comprehensive courses, online tutorials, and educational platforms that cover fundamental concepts, implementation strategies, and practical insights. Start by understanding the basics of data warehousing, including its architecture and purpose. Dive into courses that explore various implementation methods, data integration techniques, and modeling approaches.  

KnowledgeHut's Data Warehousing Free Online Course, can be the ideal starting point for you to gain essential data warehousing skills and expertise. With 19+ hours of self-paced learning content, recall quizzes, interactive ebooks and auto-graded assessments, you will emerge as a skilled practitioner ready to make a substantial difference in the world of data. 

Data warehousing for beginners entails a comprehensive introduction to the fundamental concepts, architecture, and practical implementations of storing, managing, and analyzing data. It tells you the purpose and significance of data warehousing, making it accessible to those new to the field. You usually learn about designing data models, integrating and transforming data, and harnessing historical records. Regardless of the course, it is important to get a foundational understanding of data warehousing's role in decision-making and its applications across diverse industries. With our free Data Warehousing course, you will learn all the above concepts as well. 

Familiarity with basic database concepts and SQL is essential to begin your data warehousing journey. A grasp of data modeling principles and an understanding of ETL processes would be beneficial. However, this course caters to both beginners and those with prior experience, and it will guide you through foundational concepts to advanced implementation, helping anyone eager to explore the world of data warehousing. This is why it's a good idea to choose this course by KnowledgeHut if you want to learn data warehousing. 

Yes, our comprehensive free Data Warehousing course is designed to be completed in just 3 months (or even less). Through a structured curriculum, hands-on exercises, and industry examples, you'll swiftly grasp fundamental concepts, practical implementation strategies, and industry insights. Our efficient self-paced approach empowers you to master data warehousing at your convenience, equipping you with the skills needed to excel in this dynamic field. 

Yes! KH’s free Data Warehousing course is a self-paced course and is carefully designed to make learning data warehousing simple and easy. However, your progress depends on your familiarity with databases, SQL, and other factors. While foundational concepts can be grasped relatively easily, mastery requires understanding diverse strategies, data integration techniques, modeling, and historical data management. Industry-specific insights, (which is ideally what everyone hopes to derive after learning Data Warehousing) demand nuance in your analysis skills. While it may seem challenging at first, dedicated learning and practical application can make data warehousing more manageable and rewarding. 

Demand and Career Scope

To enter the Data Warehousing field, follow these steps: Start with a relevant degree, acquire expertise in ETL, SQL, and data modeling. Gain hands-on experience through projects, freelance work, and internships. Consider certifications to validate skills. Network through industry events and LinkedIn. Tailor your application materials and search for jobs online. Prepare for technical interviews by discussing projects and showcasing problem-solving abilities. This combination of education, skills, experience, networking, and interview preparation will pave the way for a successful Data Warehousing career. 

The average starting salary for a data warehousing developer is about INR 4.4 Lakhs per year in India, for professionals having 1-2 years of experience. This is as per reports on AmbitionBox

The salary of a Data Warehouse Support Engineer in India varies depending on experience, skills, and location. According to Indeed, the average salary for a Data Warehouse Support Engineer in India is ₹10 lakhs per year. This is as per the latest figures for Glassdoor.  

Absolutely, data warehousing offers an excellent career path. With organizations increasingly relying on data-driven decisions, skilled professionals who can architect, implement, and manage data warehouses are in high demand. A career in data warehousing opens doors to roles such as Data Analysts, Business Intelligence Developers, Database Administrators, and Data Engineers. As businesses strive to extract actionable insights from vast datasets, proficiency in data warehousing technologies, ETL processes, and analytical skills become invaluable assets, ensuring a rewarding and promising career trajectory. According to Glassdoor, a Data Engineer with skills in Data Warehousing can progress to Senior Data Engineer and then Lead Data Engineer. 

Absolutely, data warehousing continues to evolve and play a vital role in the data-driven landscape. As businesses generate increasingly vast volumes of data, the need to store, manage, and analyze this information efficiently becomes paramount. As per a report from Monte Carlo Data, the global data warehousing market size is estimated to grow at a CAGR of 10% until 2028.  Data warehousing facilitates seamless integration, standardization, and historical tracking of data, enabling informed decision-making. With the emergence of advanced technologies like cloud computing and big data analytics, data warehousing is essential for enterprises that want to extract actionable insights from their data. 

What Learners Are Saying

Laura Williams IT Consultant

A well-structured course that provides a solid foundation in data warehousing. The industry-specific analyses were eye-opening and added a unique perspective.

Dhrubo Ghosh Financial Analyst

Incredible insights into data warehousing's significance across industries. The course's structure and content enriched my analytical skills.

Ekta Patel Database Administrator

An insightful dive into data warehousing intricacies. From modeling techniques to historical data management, it covered everything I needed for my role.

Michael Roberts Business Intelligence Manager

The course perfectly blends theory with real-world applications. The industry examples were a game-changer, helping me enhance data analysis strategies.

Sarah Thompson Data Analyst

A comprehensive journey into data warehousing. Clear explanations of concepts and practical implementations helped me understand its nuances. Highly recommended!