DA402: Data Warehousing

About This Course

Data analysis cannot happen without the data warehouse — the compiled set of information that is to be analyzed. Participants in this course will learn how to build and develop this indispensable resource using business needs as a guide. The course covers how to gather, prepare, and save good data within a sound warehouse that will provide a strong foundation for future data analysis and subsequent business decisions. Instructors will also introduce data warehouse architecture and flow.

Course Snapshot

Format	The course is delivered remotely, with a blend of virtual live sessions and self-paced activities.
Frequency	2 times per year (Winter and Summer)
Length	One week with a 15-hour workload. Please check the schedule for live session dates and times.
Cost	$649

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Data Analytics

It is difficult to imagine today’s world without big data. More information is available than ever before, and understanding how to properly collect, evaluate, draw conclusions from, and apply data is critical for making informed business decisions. Professionals in all industries are increasingly using...

Data analytics

What You’ll Learn

Upon completion of this course, students will have gained the knowledge to:

Understand the basics of database management and design concepts.
Use proven techniques and approaches to create and refine a data warehouse.
Identify good data sources to compile.
Overcome challenges associated with data warehousing.

Additional Information

A laptop with Microsoft Excel is required.

The Learning Environment

This course is delivered in a virtual format and combines lectures, discussions, and group activities.

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Other Courses in this Certificate Track

Enrolling in the full certificate program allows for more comprehensive learning in regard to data analytics.

Course Schedule

Courses may be taken individually and in any order unless otherwise noted. Five courses are required to complete the certificate. If pursuing the certificate, all courses in the certificate program must be completed within three years. Visit the program page for a recommended sequence.

Meet the Instructor

Chester Ismay, Ph.D.

Dr. Chester Ismay is the Director of Data Science Education at Flatiron School. Chester enjoys helping others get into data science, figuring out how to best practice and improve on their skills, and working as a part-time...

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