Data Analytics

What is Data Analytics?

  • Data analytics is the process of analyzing raw data to extract insights and make informed decisions.
  • It involves collecting, cleaning, transforming, and modeling data to uncover patterns, trends, and relationships.

Why learn Data Analytics?

  • The increasing demand for data-driven insights across industries, learning data analytics opens up a wide range of career opportunities.
  • Data analytics is essential in today's competitive landscape as it enables informed decision-making, provides a competitive advantage, improves efficiency and performance, enhances customer experience, drives innovation and growth, and offers abundant career opportunities in various industries.

What do we Provide?

  • We provide hands-on projects and case studies to give students practical experience in solving data-related problems and making data-driven decisions.
  • Our goal is to prepare students for careers in data analytics by providing them with a strong foundation and practical experience in this field.

Syllabus

Module 1: Python Pragramming
  • Introduction to Python Programming
  • Set up and Installation
  • Variables
  • Datatypes
  • Decision making
  • Control flow
  • Modules
  • Exception Handling
  • Introduction to nessary libraries

InfoStack Software Development, Training and Research Center, Solapur

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