Data Analyst in Python Course by Dataquest [Free]: Start Now!

Learn data analysis through the Data Analyst in Python course by Dataquest. Gain the practical Python skills that will help you land your first job as a data analyst. Checkout the details below.

Dataquest is an online learning platform that helps you learn data science and machine learning skills by doing. It offers a variety of courses, from introductory to advanced, that are taught by experienced data scientists. Dataquest courses are project-based, which means that you will learn by working on real-world data science projects.

This approach is effective because it allows you to apply the skills you are learning immediately. In addition to courses, Dataquest also offers a community forum where you can ask questions, get help from other students, and share your work. This forum is a great resource for getting help when you are stuck on a project or want to learn more about a particular topic.

This data analysis course will help you learn the fundamentals of Python, as well as how to prepare and extract data by querying databases with SQL, how to create insightful data visualization, and how to perform descriptive and predictive statistical analysis.

You will also learn by doing, you’ll write code and get feedback directly in the browser. You’ll apply your skills to several guided projects involving realistic business scenarios to build your portfolio and prepare for your next interview.

The key skills you will pick up during the course are:

This course will teach you the skills you need to become a data analyst. You will learn the basics of Python, Pandas, and SQL, as well as data cleaning, APIs, web scraping, probability, and statistics. By the end of this course, you will be able to collect, clean, analyze, and visualize data using Python and other tools

The course doesn’t have any eligibility criteria. All enthusiastic learners can sign up.

The course is self-paced. There are no deadlines and requirements

Interested candidates can apply directly via this link.