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Python Fundamentals for Data Science Beginners
Rating: 4.4 out of 5(6 ratings)
107 students

Python Fundamentals for Data Science Beginners

Python Fundamentals for Data Science
Created byJobskillshare Community
Last updated 4/2026
English

What you'll learn

  • Understand Python basics including syntax, variables, and data types, and write simple programs from scratch
  • Use conditions, loops, and functions to build logic and automate tasks in real-world scenarios
  • Work with lists, dictionaries, tuples, and sets to manage and organize data effectively
  • Build a beginner-level Python project and apply programming concepts for data science and real applications
  • Apply if-else conditions to make decisions and control the flow of Python programs
  • Use for and while loops to automate repetitive tasks and improve coding efficiency
  • Learn the basics of object-oriented programming using classes and objects in Python

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Course content

14 sections • 15 lectures • 5h 47m total length

  • What is data science?5:24

    Learn how data science uses logic, mathematics, and Python to find patterns, predict actionable decisions, and solve real-world problems, making you job-ready as a data scientist.

Requirements

  • No programming experience needed. This course is designed for complete beginners
  • Basic computer knowledge such as using a keyboard, mouse, and installing software
  • A laptop or desktop computer with internet access
  • Willingness to learn, practice, and apply concepts through hands-on exercises

Description

This course is designed for beginners who want to learn Python and understand how it is used in data science, artificial intelligence, and real-world applications.

You will start from the basics and gradually build your knowledge step by step. The course focuses on clear explanations and practical learning, helping you understand how Python works and how to write your own programs.

You will explore core programming concepts such as variables, data types, conditions, loops, functions, and basic object-oriented programming. Each topic is explained in a simple way and followed by practical examples so you can apply what you learn immediately.

The course is structured to help you think like a programmer, not just memorize syntax. You will learn how to solve problems, write clean code, and build logic that can be used in real scenarios.

This course also includes an introduction to data science, along with Python fundamentals such as syntax, variables, data types, casting, and strings. You will work with operators, lists, tuples, sets, and dictionaries to manage data effectively. You will learn decision-making using if and else statements, and automate tasks using for loops and while loops. The course also covers functions, lambda expressions, classes, objects, and working with dates in Python.

In addition, you will gain hands-on experience by building a beginner-level Python project that brings all concepts together and helps you apply your skills in a practical way. A certificate will be provided upon successful completion of the course.

By the end of this course, you will have a strong foundation in Python, complete a project, and gain the confidence to continue your journey into data science, artificial intelligence, automation, and other technical fields.

Who this course is for:

  • Students interested in starting a career in data science, AI, or programming
  • Anyone who wants to learn Python for real-world applications and practical use

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