Data Science Foundations with Python: Learn NumPy, Pandas, Matplotlib, and Seaborn: Learn Python for data analysis and visualization with NumPy Pandas Matplotlib and Seaborn

Geek Bootcamp

€56.99

Video Mar 2025 6hrs 43mins 1st Edition

Geek Bootcamp

€56.99

Video Mar 2025 6hrs 43mins 1st Edition

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Key benefits

Practical introduction to Python and essential data science libraries
Hands-on exercises covering data manipulation and visualization
Real-world examples to develop data handling and presentation skills

Description

This course introduces you to Python programming and its applications in data analysis Starting with the fundamentals you will learn how to work with variables loops conditionals and different data structures like lists tuples sets and dictionaries This ensures you have the foundational skills needed before diving into data science tools. Next you will explore NumPy and Pandas to handle data efficiently You will learn how to create manipulate and analyze arrays and structured datasets performing operations like sorting filtering and statistical analysis Through practical exercises you will understand how these libraries simplify data processing making it easier to manage and analyze large datasets. In the final part of the course you will learn how to visualize data using Matplotlib and Seaborn You will create various types of graphs including line bar scatter and heatmaps to represent data in meaningful ways By the end of the course you will have the skills to work with Python and its data science libraries allowing you to analyze and present data effectively.

Who is this book for?

This course is designed for beginners in programming and data science who want to learn Python and its core data handling libraries It is ideal for students professionals and researchers who need basic data processing and visualization skills No prior experience in data science is required but a basic understanding of programming concepts can be helpful Whether you are exploring data science as a career or simply want to enhance your ability to work with data, this course provides a practical introduction to essential tools and techniques.