The technical skills of a data analyst using Python are in massive demand in today’s growing, data-dependent world. This career path is great for beginners and professionals alike, as it starts with the fundamentals and works through advanced topics. Completing this path will set you up for success as a qualified, job-ready data analyst.
Write real code, and build coveted data analyst skills that’ll wow employers — all from the comfort of your browser and at your own pace.
Build your knowledge of basic and intermediate Python programming concepts
Study statistics, probabilities, and machine learning
Discover collaboration tools like Git and SQL databases
8 in 10 say learning with Dataquest has improved their lives! Join them today!
Learning data analysis and relevant topics on your own is difficult, confusing, and unmotivating. Dataquest is here to streamline that process. With our data analyst in Python path, we’ll guide you through each in-demand skill required to be efficient and job-ready as a data analyst. Our courses were chosen based on an analysis of real-world data analyst job postings, to ensure we’re covering all the right skills. And each course teaches with real data, challenging you to complete real-world data analysis projects just like the ones you’ll be confronting at work.
Here are the most sought-after data skills recruiters look for, and Dataquest teaches all of them:
Data cleaning, analysis, and visualization
Web scraping, and APIs
Data analysis in business
Probability and statistics
Git & Version Control
Data analysts average between \$68K to \$100K per year according to Glassdoor.com
Over 120,000 open data analyst roles are listed on LinkedIn
Data analysts projected 20% growth between 2018 and 2028, according to Indeed
How Our Data Analyst in Python Career Path Works
By the time you finish our program, you’ll have mastered all the skills required to become a data analyst. With our online data analysis courses, you’ll learn the Python fundamentals, dig into data analysis and data visualization using popular packages like pandas, query databases with SQL, and study statistics — among other things!
Navigating a new career path doesn’t have to be intimidating. Dataquest walks you through every step of the way . . . we don’t believe in boring, uninspiring videos. We provide hands-on and interactive teaching, so you’ll be engaged at every step. Not only will you learn in-demand skills, you’ll also have the opportunity to put them into practice.
If you have a hard time on a topic, or if you have any questions, we’re here with the support you need. Here’s a snapshot of our data analyst in Python path curriculum:
Our data analyst in Python career path is a series of courses that include Python fundamentals to advanced topics like web scraping and SQL for data analysis — and everything in between.
You’ll write real code and answer practice problems to maximize retention. Occasionally redo lessons to help review things you may have forgotten.
At the end of each course, you’ll complete a guided project to apply your new skills while building your portfolio to show potential employers.
Upon completion of each course, you’ll receive a certificate that you can share with your professional network — or use to enhance your resume.
Once you complete this path, you’ll have the skills necessary to be a data analyst!
Technical skill is required to work in the field of data science, but data analyst and data scientist roles are not purely technical. A data professional must be able to function effectively in the broader context of a business. Working with data in a business context means communicating and collaborating with non-technical coworkers. It means […]
Covers what Git is and how it’s helpful in the context of data analysis and data science work. This will take you from fundamentals to installing Git.
Who is this Data Analyst in Python Career Path For?
The data analyst in Python career path starts with the fundamentals and then builds advanced skills. You don’t need any experience to start, and all skill levels are welcome.
This career path is for individuals ready for a career change, data professionals looking to enhance their skills for the next promotion, and college students who want a massive head start in their data careers.