We may earn an affiliate commission when you visit our partners.

Model Building and Validation

Udacity's data modeling course will walk you through a general approach to data modeling including questioning, modeling and validation. Learn online with Udacity.

Enroll now

Two deals to help you save

We found two deals and offers that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Use code at checkout. Valid for a limited time only

Bootcamp level quality

Complete hands-on projects and get personalized feedback with Udacity.

Valid for a limited time only

Future-proof your career

Access O'Reilly books, live events, courses, and more. Save with an annual subscription.

Take

15%

off

What's inside

Syllabus

Lesson 1 - Intro to the QMV Process

Lesson 2 - The Questioning Phase

Lesson 3 - The Modeling Phase

Lesson 4 - The Validation Phase

Final Project

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches critical thinking and analysis combined with practical application

Develops essential skills for data analysis and modeling

Guided by industry experts Don Dini and Rishi Pravahan

Save this course

Save Model Building and Validation to your list so you can find it easily later:

Save

Reviews summary

Relevant course for data scientists

This advanced data science course is a good fit for anyone with prior machine learning, statistics, and linear algebra experience. Focused on the QMV (questioning, modeling, and validation) process, this course will teach you the methods for getting value from data. It's well-structured, with content that is mostly accurate.

Content is mostly accurate.

"The content of this course sometimes is completely inaccurate from the standpoint of probability theory and statistics."

Instructor is clueless.

"Don Dini seems to be completely clueless in what he does."

Assumes machine learning, statistics, linear algebra, and calculus background.

"The course is listed as "advanced" because it assumes prior knowledge of machine learning, statistics, linear algebra and calculus."

Each lesson takes a few hours, not weeks as course description states.

"The course is listed at an estimated 8 weeks with 6 hours of study per week."

"I did not do the final project that involves creating a fraud detection model, which could take a significant chunk of time."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Model Building and Validation with these activities:

Read 'Data Modeling for the Business'

Show steps

Reading 'Data Modeling for the Business' will provide you with a comprehensive overview of data modeling concepts and best practices.

View The Data Model Resource Book, Vol. 3: Universal... on Amazon

Show steps

Purchase or borrow the book.
Read the book thoroughly.
Take notes and highlight important concepts.
Complete any exercises or assignments in the book.

Participate in a Data Modeling Study Group

Show steps

Participating in a data modeling study group will provide you with opportunities to discuss concepts, collaborate on projects, and learn from others.

Browse courses on Data Modeling

Show steps

Find a study group or create your own.
Meet regularly to discuss data modeling topics.
Work on data modeling projects together.

Complete Practice Exercises on Database Design

Show steps

Completing practice exercises on database design will strengthen your understanding of data modeling principles and SQL.

Browse courses on Database Design

Show steps

Find online practice exercises or textbooks.
Work through the exercises, designing databases.
Review your solutions and identify areas for improvement.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Attend a Data Modeling Workshop

Show steps

Attending a data modeling workshop will provide you with in-depth training and the opportunity to network with experts.

Browse courses on Data Modeling

Show steps

Find a data modeling workshop.
Register for the workshop.
Attend the workshop and actively participate.
Follow up with the workshop organizers or attendees.

Follow Tutorials on Different Data Modeling Techniques

Show steps

Following tutorials on different data modeling techniques will expose you to various approaches and best practices.

Show steps

Identify different data modeling techniques.
Find tutorials on each technique.
Follow the tutorials and practice the techniques.
Compare and contrast the different techniques.

Design a Data Model for a Real-World Scenario

Show steps

Designing a data model for a real-world scenario will allow you to apply your knowledge and skills to a practical problem.

Browse courses on Data Modeling

Show steps

Choose a real-world scenario.
Identify the entities and relationships involved.
Design a data model using an appropriate data modeling tool.
Validate your data model.

Volunteer on a Data Modeling Project

Show steps

Volunteering on a data modeling project will give you hands-on experience and contribute to a real-world project.

Browse courses on Data Modeling

Show steps

Find a volunteer opportunity on a data modeling project.
Apply for the opportunity.
Contribute to the project as directed by the project lead.

Career center

Learners who complete Model Building and Validation will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

A Machine Learning Engineer is responsible for developing and deploying machine learning models to solve business problems. Udacity's data modeling course may be helpful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Machine Learning Engineer.

See salaries and explore the career path for Machine Learning Engineer

Data Engineer

A Data Engineer is responsible for designing and building data pipelines and infrastructure. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Data Engineer.

See salaries and explore the career path for Data Engineer

Data Architect

A Data Architect is responsible for designing and implementing data management solutions. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Data Architect.

See salaries and explore the career path for Data Architect

Data Scientist

A Data Scientist is responsible for developing and implementing statistical and machine learning models to solve business problems. Udacity's data modeling course may be helpful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Data Scientist.

See salaries and explore the career path for Data Scientist

Database Administrator

A Database Administrator is responsible for managing and maintaining databases. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Database Administrator.

See salaries and explore the career path for Database Administrator

Business Analyst

A Business Analyst is responsible for analyzing business processes and identifying opportunities for improvement. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Business Analyst.

See salaries and explore the career path for Business Analyst

Operations Research Analyst

An Operations Research Analyst is responsible for using mathematical and analytical techniques to solve business problems. Udacity's data modeling course may be helpful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Statistician

A Statistician is responsible for collecting, analyzing, and interpreting data. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Statistician.

See salaries and explore the career path for Statistician

User Experience Designer

A User Experience Designer is responsible for designing and evaluating the user experience of software and hardware products. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a User Experience Designer.

See salaries and explore the career path for User Experience Designer

Software Engineer

A Software Engineer is responsible for designing, developing, and maintaining software applications. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Software Engineer.

See salaries and explore the career path for Software Engineer

Data Analyst

A Data Analyst is responsible for collecting, cleaning, and analyzing data to help organizations make informed decisions. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Data Analyst.

See salaries and explore the career path for Data Analyst

Financial Analyst

A Financial Analyst is responsible for analyzing financial data and making recommendations to investors. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Product Manager

A Product Manager is responsible for developing and launching new products or features. Udacity's data modeling course may be helpful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Product Manager.

See salaries and explore the career path for Product Manager

Technical Writer

A Technical Writer is responsible for creating documentation for software and hardware products. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Technical Writer.

See salaries and explore the career path for Technical Writer

Market Researcher

A Market Researcher is responsible for conducting research to understand consumer behavior. Udacity's data modeling course may be useful for this role, as it can help you develop the skills needed to understand and interpret data. The course covers topics such as data questioning, modeling, and validation, which are all essential skills for a Market Researcher.

See salaries and explore the career path for Market Researcher

Reading list

We've selected 17 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Model Building and Validation.

The Data Warehouse Toolkit

Save

Classic in the field of data warehousing and valuable resource for anyone who wants to learn more about data modeling for data warehouses. It covers a wide range of topics, including data modeling concepts, data warehouse design, and data warehouse implementation.

Model Building and Validation

Two deals to help you save

What's inside

Syllabus

Good to know

Save this course

Reviews summary

Relevant course for data scientists

Activities

Career center

Reading list

Share

Similar courses