In this module, you'll get an introduction to the field of data science, review common Python functionality and features that data scientists use, and be introduced to the Coursera Jupyter Notebook for the …

A practical, beginner‑friendly introduction to Python for data science focused on data wrangling, statistics, and visualization—skills employers value and use daily.

In this module, we will cover the essential Python programming concepts needed as a foundation for advanced topics. Starting from installation and basic syntax to detailed explorations of various data …

This course will teach you how to leverage the power of Python and artificial intelligence to create and test hypothesis. We'll start for the ground up, learning some basic Python for data science before …

Learn Python programming in this beginner-friendly course from IBM. Use Python to work with data, build AI models, and support software development projects. Enroll for free.

Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and …

This course provides hands-on experience with Python basics, data manipulation, and visualization techniques, all essential for building a strong foundation in data science.

Start with an introduction to Python, exploring its syntax, versatility, and real-world applications in data science, web development, and automation. Dive into powerful libraries like NumPy for numerical …

Whether you’re a scientist, engineer, student, or industry professional working with data or quantitative tasks, this course is your gateway to solving real-world problems with Python.

Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization. Compare course options to find what fits your goals.