FEES: Varies; Online/Virtual Learners COVID Special and Scholarship Available for Qualified Applicants; Inquire within.            

You will be notified of program details after registration

DATE AND TIME:  Spring Semester: February-March;    

Summer Semester:  June-July;

Fall Semester: October-November;

and Customized Special Sessions

DURATION: 1 Month; 2 Weekly Contact Hours plus work hours; Flexible Schedule; Customized to suit your needs.

DELIVERY METHODS:    In-Person; Remote – Virtual and Online; (Asynchronous and Synchronous Methods with live Zoom meeting and recorded materials for participants unable to meet in person.)

Standard Course Discounted price is $250 (USD). Opportunity for scholarship is available for qualified candidates based on economic need. Inquire within. Find out more about our standard courses which may be taken alongside other selected courses.


The Lecture will be included later.  Contact organizer within through:

info@globalinstitutepsd.org


Requirements

  • Computer System with Audio and Video Device
  • Internet
  • Basic Computer Appreciation Skills

Prerequisite: Python Programing for Data Analysis, Statistics and Probability


Data Science is a professional course for a career path in Data Science. Learners gain skills that help inform business decisions by drawing insights from business data and making forecasts for businesses to gain competitive advantage.This is one of the courses under Data Analytics and Data Science.


Data Science is for professionals who help businesses make decisions based on company historical data or any type of data that would give the business an advantage over its competitors. 


Data Science - learners will learn how to work with different types of data for different industries like population data, marketing data, social media data and stock data and would be able to find some form of structure and make predictions base on the data.

Data Science - learners work with business owners to convert their problems in business actions that benefit organizations. 

Curriculum

Total: 4 Lectures Total hours: 00:00:00

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