Data Science 101: Methodology, Python, and Essential Math
A beginner's guide to data science, starting from data science methodology to an introduction to data science in Python, to essential math for data science.
Created by Ermin Dedic
Explore the world of data science from the ground up with a practical focus on real skills. You will learn foundational data science methodology, get hands-on with Python, and build your understanding of essential math concepts like linear algebra, probability, and statistics. No prior experience is needed to get started.
Packt | Apr 2022 | 889 min
What You Will Learn
You will start by exploring the main questions and steps in data science, reinforced by a case study. Through hands-on coding exercises, you will practice Python for data analysis and build a simple chatbot. The journey continues with guided math explanations and practical assignments, helping you connect theory to real-world data science tasks.
Key Features
- Understand and apply the core steps of data science methodology to real problems
- Build practical Python skills for data analysis, including working with NumPy and Pandas
- Master essential math concepts such as linear algebra, probability, and statistics
Target Audience
Perfect for beginners, career changers, or anyone curious about data science. If you want a clear overview before diving deeper or need to build confidence with Python and math basics, you will find this course approachable. No background in data science or programming is required-just a willingness to learn and explore new concepts.
