Programming In Python

Programming In Python

OVERVIEW

This Course is designed for anyone who wants to deep dive into the world of Computer Programming. This Course will Provide a blend of guided, Industry Aligned and Project based learning Experience.
Python is the most popular language for data science and machine learning. It’s easy to learn and a great addition to your resume. Learning Python will give you a strong foundation for a career in a variety of tech domains like data science and machine learning, blockchain, web app development, mobile app development, etc

SYLLABUS

  • Variables and Datatypes
  • Conditionals
  • Functions 
  • Strings 
  • Collections – lists, dictionaries, tuples, and 
  • sets
  • File Handling

OBJECTIVE

  • Learn to code in python.
  • Go from being a novice to being proficient with coding. Learn and implement key concepts like variables, operators, collections, loops, functions, objects, file handling, exception handling.
  • Build the foundation for more advanced courses in Data structures, Algorithms, ML, and Data Science.

OUTCOME

  •  You will demonstrate and showcase your skillset in Al.
  • Demonstrate a basic understanding of computer hardware and software.
  • Demonstrate problem-solving skills.
  • Apply logical skills to programming in a variety of languages
  • Present conclusions effectively, orally, and in writing.

Certification

270%

Increase in use of Al in various businesses

27$

Industry according to latest data

$50,000

Average salary

32,000

 Career opportunities in various companies

PROGRAM INCLUDES

  • Practical curriculum aligned to the job market and industry certifications.
  • Hands-on labs and projects graded by instructors.
  • Downloadable resources.
  • Access to relevant software tools.
  • Career navigation and coaching.
  • 2-in-1 certificate from a university and a technology company.

COURSE DURATION : 80 Hrs

COURSE SCHEDULE

  • 10 hrs per week, 8 weeks.
  • 20 hrs final project.
  • 60 hrs (vILTs – 30 Hrs, Self-paced learning – 30 hrs) – learning materials in the form of PDFs, videos etc, Recorded sessions.

TOOLS COVERED

Programming In Python

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