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Course Description

A female engineer looking at various data on a futuristic screen

Organizations and data professionals have tremendous opportunities to analyze Big Data whether that data exists internally within the organization or externally. This course will examine the basic technical concepts and challenges of Big Data. Participants will learn how to use data analytics tools such as Hadoop, Hive or Spark. A capstone project will be included where participants will problem-solve a real-world Big Data scenario using the tools taught in the course.

Designed For

Professionals working with data from various sectors in healthcare, finance, insurance and marketing, data science and data analytics professionals.

Learning Outcomes

Upon successful completion of the course, students will be able to:

  • Describe the basic technical concepts and challenges of Big Data.
  • Explain and apply data cleaning and feature extraction methods to Big Data.
  • Investigate machine learning and statistical learning algorithms for processing Big Data.
  • Demonstrate the use of data analytics tools such as Hadoop and Hive.
  • Review parallel processing tools for Big Data such as MapReduce and Spark.
  • Discover how to draw conclusions from analytics through real-world case studies.
  • Complete a capstone project that draws on skills gained from the course to address a real-world problem in small teams.

Additional Requirements

To be successful in this program, it is recommended that you have an Undergraduate degree or College diploma, a recent statistics course and basic experience or understanding of a programming language.

Applies Towards the Following Certificates

Technical Requirements

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*Course details are subject to change.

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Enrol Now - Select a section to enrol in

Section Title
Big Data Analytics
Type
Online
Dates
May 10, 2021 to July 04, 2021
Contact Hours
40.0
Delivery Options
Online  
Course Fee(s)
Early Bird $995.00
Tuition Fee $1,050.00
Potential Discount(s)
Instructors
Section Notes

Please review our Withdrawal and Refund Policy.

If you require assistance, please contact our main office.

Section Materials
  • Textbook (Confirmed) (Mandatory) Data Analytics with Hadoop: An introduction for data scientist by engfort, B., & Kim, J. 2016 edition ISBN 978-1491913703 O'Reilly
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