Learn Python for Data Science: A Complete Beginner’s Guide

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About Course

This course is designed for beginners who are interested in starting a career in data science. It covers the fundamentals of Python programming, as well as the core libraries and tools used by data scientists. By the end of the course, you’ll be equipped to analyze datasets, perform data manipulation, and apply basic machine learning models.

What Will You Learn?

  • Introduction to Python Programming
  • Variables and Data Types
  • Control Flow (Conditions and Loops)
  • Functions and Modules
  • Working with Data Structures (Lists, Tuples, Sets, Dictionaries)
  • File Handling
  • Error Handling (Try/Except)
  • Object-Oriented Programming (OOP)
  • Basic Algorithms and Problem-Solving

Course Content

Lesson 1: Introduction to Python Programming
Objective: In this lesson, you will be introduced to the Python programming language, learn about its uses, and set up the environment to start writing and running Python code.

  • Python Programming
  • Lesson 2: Data Types and Variables in Python
  • Lesson 3: Conditional Statements in Python

Loops in Python
In this lesson, we will explore loops in Python, which allow you to run the same code multiple times. This is particularly useful when you need to perform repetitive tasks, such as iterating over a list of items, counting, or performing an operation several times.

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