This Track uses the Python programming language which is one of the most popular programming languages in the world.

This track is great for any aspiring data professional or researcher who wants to gain domain-specific expertise, or for those who want to gain a solid foundation in data analysis for their current job.

By the end of this Track, you will be equipped with the necessary skills to work with real-world datasets, clean, manipulate and visualize data, and gain important statistical skills such as hypothesis testing.

This track usually takes 36 hours to complete as it consists of several courses that significantly upskill users.

A skill track focuses on a specific area or set of skills such as a programming language, project management techniques, or design tools. A career track focuses on preparing you for employment, typically including job-specific skills, such as data analysis or software engineering.

Throughout this Track, you'll work with datasets from a variety of different industries and disciplines. These datasets are typically created from real-world examples, and some are even provided through the course itself.

You will learn how to import, clean, manipulate, and visualize data using some of the most popular Python libraries, including pandas, NumPy, Seaborn, and more. In addition, you will gain important statistics skills such as hypothesis testing and sampling, as well as joining data with pandas.

Yes. DataCamp's industry recognized Certifications include the Data Analyst Certifications (ranked #1 by Forbes), designed to equip you with the essential skills and practical knowledge required to excel in the role of a Data Analyst.