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Course Highlights

  • This course is a part of the AI Ascend program.
  • This course offers you informative web links, hands-on exercises, and quizzes to strengthen your understanding of Python.
  • It introduces simple Python components from variables and expressions to advanced ones; Packages etc.
  • The concepts and techniques learnt in this course will serve as building blocks for the advanced topics in Artificial Intelligence.
  • Skill Type

  • Course Duration

  • Domain

  • GOI Incentive applicable

  • Course Category

  • Nasscom Assessment

  • Placement Assistance

  • Certificate Earned

  • Content Alignment Type

  • NOS Details

  • Mode of Delivery

Course Details

Learning Objectives

What will you learn in Python Basics course?

  • This course consists of informative web sources/links to strengthen your understanding of Python.
  • It covers various attributes of Python programming - features and uses, different elements such as variables and expressions, explanations of concepts like functions, modules, etc.
  • Platforms required to perform exercises on the concepts in this course are Jupyter Notebook with Python 3.6 and above.
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Reasons to enrol

Why should you take Python Basics course?

  • This bridge course explores the fundamental concepts of Python programming.
  • The 8 hours self-paced training, divided into 3 modules, covers various attributes of Python programming - features and uses, different elements such as variables and expressions, explanations of concepts like functions, modules, etc.
  • Platforms required for this course are Jupyter Notebook with Python 3.6 or above.
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Ideal Participants

Who should take Python Basics course?

  • BE/ BTech students-any stream
  • Non-engineering students-STEM background
  • Working Professionals
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Curriculum

Curriculum

  • Introduction to Python
  • Python Data Structures
  • Python Programming Fundamentals
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skills and tools

Tools you will learn in Python Basics course

  • Python
  • Lists
  • Tuples
  • Dictionary
  • Strings
  • Data Structure
  • Data Types
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