DA401: Fundamentals of Data Analytics

About This Course

Data analytics is the process of retrieving information from large quantities of raw data and converting it to useful, actionable knowledge. This practical course provides participants with an overview of data analytics as well as all aspects of the analytics cycle, including warehousing, mining, analysis, and visualization. Instructors will introduce key vocabulary and concepts designed to help participants communicate with data more effectively within their organizations.

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 four types of data analytics and the importance of big data.
Understand the components of the data life cycle.
Appreciate ethical concerns regarding data and data analytics both today and into the future.
Apply data analytics concepts in real-world contexts.

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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