Python Programming

Python Programming

  • 8 weeks
  • 48 hours

Kick-start your data science career by in depth learning of python. Boost your career by joining this industry ready Python programming course.

Course Overview

This Machine Learning and AI program includes both case study as well as grooming sessions. We cover critical topics on Python programming, Machine Learning algorithms, along with practical projects which helps in better understanding. This course deals with preparing data for analysis and processing, performing advanced data analysis, and presenting the results to reveal patterns and enable stakeholders to draw informed conclusions.


This Professional Certificate from Handson has a comprehensive course curriculum covering Statistics, Machine Learning algorithms, key Programming Languages and more – with a great detail via our interactive learning model so that you are comfortable with any kinds of questions asked in job-interview. Upon successfully completing this course, you will be able to fast track your career in the field of interest and it will help you to kick start into an exciting profession in AI and Machine Learning.

What You'll Learn
  • Introduction to Data Science

  • AI,ML

  • SQL

  • Python Language

  • Statistical Analysis Software

  • Advance Excel

  • Statistics

  • R Programming

  • Data Visualization

  • Introduction to Python
  • Python Syntax rules
  • Variables
  • Data Types
  • Numbers
  • Casting
  • Strings
  • Booleans
  • Operators
  • Lists
  • Tuples
  • Sets
  • Dictionaries
  • If...Else
  • While Loops
  • For Loops
  • Functions
  • Lambda
  • Arrays
  • Classes Objects
  • Inheritance
  • Iterators
  • Scope
  • Modules
  • Dates
  • Mathematics for Python
  • JSON
  • RegEx
  • PIP
  • Try...Except
  • User Input
  • String Formatting
  • File Handling
  • Read Files
  • Write/Create Files
  • Delete Files
  • NumPy
  • Pandas
  • SciPy
  • Getting Started
  • Mean Median Mode
  • Standard Deviation
  • Percentile
  • Data Distribution
  • Normal Data Distribution
  • Scatter Plot
  • Linear Regression
  • Polynomial Regression
  • Multiple Regression
  • Train/Test
  • Decision Tree
Admission Process

Please call to admission counselor for course fees, registration fees, EMI fecilities,registration form and other formalities. Contact to admission counselor



Who Can Join?

Any graduate with knowledge of basic computing.


1. Personal computer/laptop with webcam and microphone

2. Stable internet connections

Payment Details

Bank Details:
Account Number: 19700200000420
IFSC Code: BARB0SALTLA (5th letter is numeric zero)
UPI Payment: 9432257052@okbizaxis

This Course Include:

  • Live Instructor-Led Course
  • Project and Case Studies
  • Certificate of completion
  • Learn from Experts
  • Placement Assistance
  • Assistance for Global Certification