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Introduction to Data Science

Course closed to new registrations: Call ( 949 ) 824-5414 for more information or sign up below to be notified when this course becomes available.×

Course Description

Learn the data design, management and manipulation tools and processes commonly used by data scientists and understand how to apply this knowledge to yield measurable business value. Gain an overview of the basic techniques of data science, including data analysis, statistical modeling, data engineering, relational databases, SQL and NoSQL, manipulation of data at scale (big data), algorithms for data mining, data quality, remediation and consistency operations.

Prerequisites: None

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  • Details
  • $695
  • January 20, 2014 to March 30, 2014
  • Delivery Mode: Online
  • Reg#: 00144
  • ID/Units: I&C SCI X426.60  (3.00)
    ( Section 1 )
  • Quarter: WINTER 2014

Instructor


Amit P. Manghani, M.S., MBA has more than a decade of experience in the Information Technology domain dealing with Enterprise Information Management, Business Intelligence, Web Applications and Cloud Computing technologies at leading Information Management companies such as Oracle, Informatica and SAP. Prior to joining Oracle, Amit was focused on utilizing the power of emerging data integration technologies encompassing real-time data acquisition/ movement, event processing and agile data access within Big Data usage scenarios. Now as Senior Director of Product Management at Oracle, he is responsible for enabling partners globally on the different facets of Oracle Sales Cloud ranging from Analytics to Mobile to Sales Prediction capabilities. He is an avid follower of technology trends and has published articles in leading online journals and has presented at several technology conferences. Also in 2012, Amit got certified in Hadoop which is the premier certification for Big Data processing.

Textbook Information

Textbooks for your course may be purchased from any vendor or bookseller of your choice.

No textbook information is available for this course.

Meeting Schedule

EventDateDayStart TimeEnd TimeLocationRoom
START01/20/2014Monday------Online (Access Begins)---
END03/30/2014Sunday------Online (Access Ends)---