Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python
Get ready for AI, ML, and DL with NumPy, SciPy, Pandas, and Matplotlib stack
Created by Lazy Programmer
Build a solid foundation in data science by mastering essential Python libraries like NumPy, Matplotlib, Pandas, and SciPy. Learn how to handle data, perform statistical analysis, and visualize results to prepare for deeper work in machine learning and AI.
Packt | Feb 2023 | 261 min
What You Will Learn
You will start by exploring the core concepts behind each library, then move on to hands-on coding exercises that reinforce your understanding. Real-world examples and practical challenges help you see how these tools fit into typical data science workflows, making it easier to apply them in your own projects.
Key Features
- Work confidently with arrays, matrices, and data frames for data analysis tasks
- Create clear, informative visualizations using Matplotlib for better data insights
- Apply statistical methods and probability concepts to real-world datasets
Target Audience
Perfect for Python users ready to expand into data science and machine learning. If you have a good grasp of Python basics and want to learn the key libraries used in professional data analysis, this course will help you bridge the gap and start building your own data-driven solutions.
