Compare data analytics boot camp programs online
A growing field that transforms data Into decisions
Why complete a data analytics boot camp?
Global network
Access a network of 250+ employers looking to hire.
Student success
Stay on track with personalized academic support.
Career support
Leverage free professional resources throughout your career.
What does a data analyst do?
Data analysts are storytellers. They retrieve, interpret, and organize big data to draw meaningful conclusions for organizations and companies. As a certified data analyst, you will compile your findings into accessible visualizations, allowing stakeholders to make informed business decisions. At its core, a data analytics career requires collaboration, accuracy, and technical skills, including software comprehension and data management.
Admission requirements for a data analyst boot camp
Admissions requirements and prerequisites for an online data analytics boot camp may vary. At edX, our data analytics boot camps require:
A high school diploma
A submission form
An admissions conversation
A complete application
A problem-solving assessment (no prior industry knowledge is required)
A financial option, deposit, and enrollment agreement
You do not need previous professional experience, a bachelor’s, or a master's degree to apply to an edX data analytics boot camp. Our expert instructors will teach you how to transform complex information into effective presentations.
What alumni are saying
— Charles R., Northwestern Data Science and Visualization Boot Camp alum
“I chose to attend [a data analytics boot camp] to round out my technical skills, and the program did all that and more. I am a significantly better programmer than I was when I started. ”
What does a data analytics class teach?
Our data analytics boot camp is a learner-first online experience that combines collaborative, hands-on training with real-world data sets. It provides you with the tools to collect, analyze, and visualize big data — and to make your next career move.
Data analytics boot camp curriculum
Module 1: Excel crash course
Do more with Microsoft Excel. You’ll even learn to model historic stock trends — and, hopefully, beat the market.
You will learn:
• Pivot tables
• Forecasting
• VBA scripting
• Statistics modeling
Module 2: Python data analytics
Gain a strong foothold in one of today’s fundamental programming languages.
You will learn:
• Python 3
• APIs
• NumPy
• SciPy
• Pandas
• Matplotlib
Module 3: Databases
Learn to organize data into well structured and easily retrievable data formats.
What you will learn:
• SQL
• PostgreSQL/pgAdmin
• MongoDB
• Extract, Transform, Load (ETL) process
Module 4: Web visualization
Master the core technologies of web development and create new, interactive data visualizations that you can share with everyone on the web.
What you will learn:
• HTML
• CSS
• Bootstrap framework
• JavaScript charting
• Geomapping with Leaflet.js
Module 5: Machine learning and other advanced topics
Explore new and in-demand topics and tools.
You will learn:
• Tableau
• Date ethics
• Hadoop
• Machine learning
Module 6: Final project
Add to your portfolio. Your final project is an opportunity to get creative and collaborate with a small group of students to design an impressive data visualization application.
What are the highest paying data analytics jobs?
You may be able to boost your potential salary with a data analytics boot camp online. According to the U.S. Bureau of Labor Statistics, the overall median annual salary for operations research analysts in 2021 was $82,360 per year.¹ But, remember: Factors such as location and experience level may impact your data analytics salary.
How to become a data analyst online
Data analysts collect, interpret, and store more than 2.5 quintillion bytes of data that are created each day — much of which can be used to translate information into global insights, predict future trends, and help organizations make better decisions.
To excel in your data analytics boot camp, you should leverage dynamic skills, including:
Soft skills
Communication
Problem-solving
Teamwork
Detail-oriented
Collaboration
Critical thinking
Hard skills
SQL
Tableau
Machine learning
Python
CSS
Data mining and modeling
Frequently asked questions
¹ Bureau of Labor Statistics, U.S. Department of Labor, Occupational Outlook Handbook, Financial Analysts, (visited August 2022).