Python for Data Science: Complete Masterclass [2023]

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Beginner

Last updated on April 10, 2025 2:31 am

Learn Python and Data Science from basics to pro level with real-life examples. Improve your skills in Python programming and data analysis. Enroll now!

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What you’ll learn

  • Uses and Importance of Python
  • Python Vs Java Vs C++
  • Python Installation
  • Operators in Python
  • Sets in Python
  • Data Collection
  • Variables in Python
  • Data Types in Python
  • Conditional Statements
  • Loops in Python
  • Classes and Objects
  • File Handling in Python
  • Functions in Python
  • Numeric Data Types
  • Strings in Python
  • Lists and Tuples
  • NumPy: Data Science
  • Pandas: Data Science

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This course has been designed for python and data science students. The course has explained from basics of python and data science and it finishes on a pro level. The real-life examples of data science and python have been added as well to make the course valuable for the learners.

What  you will learn:

  • Uses and Importance of Python

  • Python Vs Java Vs C++

  • Python Installation

  • Operators in Python

  • Sets in Python

  • Data Collection

  • Variables in Python

  • Data Types in Python

  • Conditional Statements

  • Loops in Python

  • Classes and Objects

  • File Handling in Python

  • Functions in Python

  • Numeric Data Types

  • Strings in Python

  • Lists and Tuples

  • NumPy: Data Science

  • Pandas: Data Science

Who are the Instructors?

Dr. Allah Ditta is your lead instructor – a Ph.D. and lecturer making a living from teaching Python, advanced mathematics, and data science. 

You’ll get premium support and feedback to help you become more confident with data science!

We can’t wait to see you on the course!

Enroll now, and we’ll help you improve your data science skills!

AD Chauhdry

Who this course is for:

  • For python learners
  • For data science beginners

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    Python for Data Science: Complete Masterclass [2023]
    Python for Data Science: Complete Masterclass [2023]
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