Welcome to the introduction to Data Science course! This page will provide you with an overview of what you can expect from the course, its structure, and the key concepts you will learn.

Course Overview

This course is designed for individuals who are new to data science and want to gain a foundational understanding of the field. It covers the basics of data manipulation, analysis, and visualization, as well as an introduction to machine learning.

Course Structure

  • Week 1: Introduction to Data Science

    • What is Data Science?
    • The Data Science Process
    • Data Types and Structures

  • Week 2: Data Manipulation

    • Introduction to Python
    • Data Cleaning and Preprocessing

  • Week 3: Data Analysis

    • Descriptive Statistics
    • Data Visualization

  • Week 4: Machine Learning Basics

    • Supervised Learning
    • Unsupervised Learning

  • Week 5: Capstone Project

    • Apply your skills to a real-world dataset

Key Concepts

  • Data Manipulation: Learn how to clean, transform, and prepare data for analysis.
  • Data Analysis: Understand different statistical methods and techniques for analyzing data.
  • Machine Learning: Get an introduction to the most common machine learning algorithms and how to apply them.

Additional Resources

For further reading, we recommend checking out our Data Science Blog.

Data Science