Free online coursePython data science and Big data

Course Description

Step into data science with Python and learn how to turn messy information into insights you can actually use. This free online course is designed for beginners who want a clear path into analytics and Big Data thinking, using hands-on tools that show up in real workflows across tech, business, and research.

You will start by understanding what Big Data analysis is, why it matters, and how Python fits into the modern data stack. From there, you will set up a practical environment in Jupyter Notebook so you can experiment, test ideas quickly, and document your work like a data professional. The course then moves into NumPy, helping you build confidence with arrays, slicing, sorting, and essential functions that make computation faster and more reliable when datasets grow.

Once you are comfortable with numerical operations, you will shift into Pandas, the go-to library for working with tabular data. You will learn how to create and manipulate DataFrames, select and transform subsets of data, and add meaningful new columns that support analysis. Along the way, you will practice importing and exporting CSV files and learn how to work with JSON, an extremely common format for APIs and modern data pipelines. These skills are fundamental for cleaning, combining, and preparing data for reporting or modeling.

To complete the workflow, you will explore data visualization with Matplotlib, turning results into plots that make trends and patterns easy to communicate. By the end, you will have a strong foundation for moving into advanced topics such as exploratory data analysis, machine learning, and scalable processing, with a toolkit you can reuse in projects and a clearer view of the career paths available in Artificial Intelligence and Data Science.