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Python

Create interactive dashboards and industry-level business insights.

  • Course Type Python for Data Analysis & Business Insights
  • Pre-requisites Basic computer knowledge
    Logical thinking & problem-solving mindset
    No prior programming experience required
  • Delivery Mode Online/Offline
  • Trainer Shekher Dabe
  • Duration 35–45 Hours
  • Who can enrol?
  • ➤ Students & Fresh Graduates Working Professionals
    ➤ Data Analysts & Business Analysts
    ➤ Engineers & IT Professionals
    ➤ Career Switchers

Course Overview

This Python course is designed to build strong programming and data analysis capabilities required in modern analytics roles. Learners will gain hands-on experience in data handling, analysis, visualization, and business problem-solving using Python and industry-standard libraries.

Why Learn Python / Benefits

  • Arrow-iconMost popular language for data analysis & analytics
  • Arrow-iconEasy to learn and highly versatile
  • Arrow-iconUsed across analytics, AI, automation & reporting
  • Arrow-iconIntegrates seamlessly with SQL, Power BI & Tableau
  • Arrow-iconHigh demand skill across industries

Syllabus Overview:

Module: Data Analysis Using

 

  1. ●  Python
  2. ●  Python Essentials
  3. ●  Python Environment Setup
  4. ●  Working with Jupyter Notebook
  5. ●  Python Basics
  6. ●  Syntax
  7. ●  Variables
  8. ●  Operators
  9. ●  Data Types
  10. ●  Type Conversions
  11. ●  Control Structures
  12. ●  Conditional Statements
  13. ●  Looping Statements
  14. ●  Functions
  15. ●  User-Defined Functions
  16. ●  Lambda Functions
  17. ●  Object-Oriented Programming (OOPS)
  18. ●  Classes & Objects
  19. ●  Inheritance
  20. ●  Polymorphism
  21. ●  Encapsulation
  22. ●  File Handling
  23. ●  Reading & Writing Files
  24. ●  Exception Handling
  25. ●  Connecting Python with
  26. ●  Databases
  27. ●  NumPy
  28. ●  Arrays
  29. ●  Operations
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