Global Data Science Program - GDSP

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 Basic Info : Global Data Science Program - GDSP
 Level : Intermediate
 Duration : 2 Years
 Language : English
 Date : March 2025
 Program Description

Global Data Science Program (GDSP) is a comprehensive course on Data Science which will prepare participants for aggressive competition and decision making. The programme is intended to provide ‘breadth of knowledge’ to make it relevant to people pursuing careers in Data Science.

Need For The Program

Create and interpret statistical summaries and data visualizations that support understanding and guide decision making. Use data and key performance indicators to build a dashboard that uses visuals to improve your understanding of complex business situations Formulate a business question as a scientific hypothesis that can be tested using statistical methods. Create and validate regression models that can be used to determine the effect of attributes on a decision and predict likely outcomes Use data to describe and reduce uncertainty in decision making.


Curriculum

 

  • Foundation and Principles of Data Science
  • Data Analytics with Advance Excel
  • Python Programming for Data Science
  • Python Libraries for Data Science
  • R Programming for Data Science
  • Mastering Data Visualization with Power BI
  • Mastering Data Visualization with Tableau
  • Next Generation Database with SQL and MongoDB (No SQL)

  • Quantitative Methods for Data Science
  • Statistical Thinking for Data Science – Basic Statistics and Statistical Computing
  • Business Statistical Analytics with R Programming and Python Programming
  • Foundation and Principles of Machine Learning
  • Mastering Machine Learning
  • Time Series Analysis
  • Big Data Analytics with Hadoop
  • Deep Learning with Artificial Intelligence (AI)
  • Project Work


How It works

   Live Sessions
Each session is interactive and informative, featuring case studies, quizzes, and projects

   Interact, Learn and Grow
bsevarsity.com enables you to master the concepts, interact with expert faculty and other learners, and be a part of the community whilst growing.

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