1

**Introduction to Data Science and Python Setup

Description

Begin your journey into data science by understanding what it is and its importance. Then, install Python and a suitable Integrated Development Environment (IDE) like VS Code or Jupyter Notebook.

Available

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
2

**Python Fundamentals: Variables, Data Types, and Operators

Learn the fundamental building blocks of Python programming.

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
3

**Python: Control Flow

Conditional Statements and Loops** - Explore how to control the flow of your Python programs using conditional statements and loops.

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
4

**Python: Data Structures

Lists, Tuples, Dictionaries, and Sets** - Learn about the essential data structures in Python, which are fundamental for organizing and manipulating data.

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
5

**Python: Functions and Libraries

Learn to write reusable code using functions and start using essential libraries for data science.

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
6

**Introduction to NumPy: Arrays and Basic Operations

Begin working with NumPy, a fundamental library for numerical computing in Python and data science.

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises
7

**Introduction to Pandas: DataFrames

Explore the Pandas library, a key tool for data manipulation and analysis.

Locked

Learning Objectives

  • Understand the fundamentals
  • Apply practical knowledge
  • Complete hands-on exercises

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