Big Data Specialization by Coursera
Course Features
Duration
8 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Effort
3 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
Virtual Labs
International Faculty
Post Course Interactions
Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors
Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting
Recognize different data elements in your own work and in everyday life problems
Explain why your team needs to design a Big Data Infrastructure Plan and Information System Design
Retrieve data from example database and big data management systems
Describe the connections between data management operations and the big data processing patterns needed to utilize them in large-scale analytical applications
Design an approach to leverage data using the steps in the machine learning process
Apply machine learning techniques to explore and prepare data for modeling
Course Instructors
Ilkay Altintas
Chief Data Science Officer
Amarnath Gupta
Director, Advanced Query Processing Lab