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: Intro to Python programming

Python Programming for Data Analysis course will equip professionals with python tools for working with spreadsheets and data of all kinds in a python environment. Learners will use python programming for data munging and graphical presentation of insights.This is one of the courses under Data Analytics and Data Science.


Python programming is for anyone who wants to get into data Analytics, Data Science, quantitative finance.


Data Analysis is for researchers, businesses, banks, and professionals who work with spreadsheets and want to understand and get extra insight from their data.


 Python programming students should be able to understand python programing syntax, work in the different interactive development environments and perform commands using python.


Python programming learners can write python-based programs to automate different tasks.


Data Analysis - learners should be able to use python programing to read different forms of data and draw meaning insights and graphs from the data.

Data analysis learners can set up consultancy to automate spreadsheet processes for companies.

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