Best Data Analytics Bootcamps on the Market in 2025 👩🏻‍💻

The Fullstack Academy Online Data Analytics Bootcamp is an immersive experience that offers both live classes and workshops and can be completed on either a full-time or part-time basis. The curriculum is designed to take beginners to job-ready levels of knowledge and covers everything students need to pass both the “Tableau Desktop Specialist” and “AWS Certified Data Analytics – Specialty” certifications.

The curriculum covers Excel, data storytelling and presentations, SQL, Python, data visualization with Tableau, AWS analytics tools, and a capstone project.

Fullstack’s career success team is on hand throughout the course to help students develop the skills they need to land a job. Particular services include resume guidance, LinkedIn optimization, interview prep and practice, and salary negotiation tactics. Graduates can even be directly introduced to hiring companies that Fullstack has partnered with.

“I had an amazing experience and graduated with multiple interviews already lined up.” – Sang @ Course Report

The Le Wagon Data Analytics Course Online features a 40-hour prep course covering introductions to fundamental analytics concepts, Google Sheets, SQL, and Python. The bootcamp itself takes two months to complete full-time when done at 40 hours per week or takes six months to complete when done on a part-time basis.

Both versions utilize live online classes and cohort learning. Its curriculum covers the following topics: product, sales, marketing, and financial analysis with Google Sheets, data cleaning and ELT (Extract, Load, Transform) tools, data warehouses and SQL, and data visualization and business intelligence.

Topics are taught through live lectures, live code sessions, and plenty of partnered projects to get students engaged and learning. There are no technical requirements for enrolling, but the application process does include interviews and quizzes.

I loved the bootcamp experience. The support from peers and staff was fantastic, and the well-organized schedule made it manageable. – Charles @ Course Report

The Ironhack Data Analytics course offers students part-time or full-time online options, with on-campus courses available both in the United States and in Europe. The curriculum begins with 60 hours of online pre-work for students to complete before the start date, helping students get to grips with programming essentials and statistics.

From there, the course is split into three modules: an introduction to Python, advanced analytics, and machine learning fundamentals. Each module culminates in a hands-on project, with the final project acting as a capstone to be used in the graduate’s professional portfolio.

For full-time students, classes are held live from 9am-6 pm, with a lunch break and coffee breaks throughout the day. Part-time students study from 6:30pm-8:30 pm on weekday evenings and 10am-5 pm on Saturdays. There are no technical requirements for the course, but the application process does include a simple technical test.

Switching from journalism to coding and data science was a game-changer. In three months, I learned beyond my expectations. Just two months after finishing my bootcamp, I landed a new job. It’s been the best decision ever! – Estefania @ Course Report

Dataquest’s Data Analyst in Python course is a self-paced and independent learning course that provides students with all the instruction and guided projects they need to become job-ready in six months. As a self-paced course, there are no live online classes, instructors, or cohorts, which makes it perfect for full-time workers who need a more flexible schedule.

The curriculum covers a range of analytics topics and skills, including an introduction to Python programming, intermediate Python with Pandas, cleaning data in Python, command-line functions, working with data sources, probability and statistics, and advanced topics in data analysis.

As a Biomedical Scientist seeking to transition into data-driven projects, Dataquest’s comprehensive curriculum and interactive platform provided an invaluable opportunity to learn coding and data analysis, fostering hands-on practice and skill development. – Hossain @ Course Report

The CareerFoundry Data Analytics Program covers data analytics from all angles, including analysis techniques, visualization, databases and SQL, Python fundamentals, data ethics and security, and machine learning.

Students are supported by both their course tutors and personal mentors throughout the curriculum and also have the opportunity to opt into the CareerFoundry Job Prep Course. Their Data Analytics Program can be completed on a part-time, flexible, or full-time basis, depending on the individual’s schedule. There are no technical requirements for enrollment.

I loved the data analytics course! Well-structured content, engaging tutors, and hands-on assignments with real-world data make it highly recommended for developing data analytics skills! – Gurpreet @ Course Report

Datacamp’s Data Analyst Certification is a professional skills certification that can help new data analysts land their first job. The examination can be taken straight away or after training with Datacamp’s various courses. The courses available in data analysis include data analysis in Excel, exploratory data analysis in Power BI, data analysis in spreadsheets, exploratory data analysis in Python, exploratory data analysis in SQL, exploratory data analysis in R, Bayesian data analysis in Python, and fundamentals of data analysis in R.

Students can take some or all of these courses by subscribing to the service and working through each one. It’s also possible to enroll in courses elsewhere and come back to Datacamp to complete their professional certificate. The entire site is dedicated to data topics, so all of its content is relevant and useful for aspiring data professionals.

Datacamp offers comprehensive content with motivating course instructions. The embedded R-Client in the web interface enhances learning opportunities, allowing for convenient learning sessions from any device. – Jan-Peter @ Course Report 

Simplilearn’s Data Analyst Master’s Program is an affordable data analytics bootcamp, with an 11-month curriculum that costs just $1,200. The course includes a mixture of live and pre-recorded online classes taught by active data professionals. The course modules include business analytics with Excel and SQL, programming basics and data analytics with Python, R Programming for data science, data analytics with R, Tableau training, and data analyst master’s capstone project.

Projects are based on real-world data sets, and support is available 24/7 from mentors and community contributors. The course was developed in collaboration with IBM, meaning students work through much of the industry-leading content found in IBM’s self-paced education certificates.

Simplilearn’s data analytics program helped me land my dream job as a data analyst. It’s a trustworthy platform for upskilling and career advancement. Highly recommend! – Felix @ Course Report 

The Thinkful Data Analytics Bootcamp offers both a full-time and a part-time option. The full-time option requires 50 hours of study per week and begins with a four-week self-paced prep course. This version of the course has students learn with a cohort through live 10 am-5 pm classes. It’s perfect for students who want something full-time, immersive, and collaborative.

Alternatively, the part-time course allows students to study independently with flexible deadlines. Optional office hours, live mentor sessions, and on-demand technical coaching help keep part-time students on track during their studies.

The comprehensive curriculum includes modules on Microsoft Excel, presentation and storytelling, Python and statistics, databases, and SQL.

This course is ideal for beginners looking to quickly enhance their data analytics skills. It covers key aspects like data cleaning, analysis/exploration, and visualizations using various tools. The structured curriculum facilitated immediate application in my current role. – Maher @ Course Report

The General Assembly Data Analytics Course teaches valuable, in-demand analytics skills. By the end of the course, you’ll be proficient in Excel, Tableau, and SQL.

Their project-based curriculum ensures students graduate the course with a portfolio-appropriate capstone project to feature in their portfolio. Throughout the course, instructors are available during class and office hours for real-time feedback and technical assistance. The course is aimed at both aspiring data analysts and other professionals who want to expand their skills.

This comprehensive course effectively teaches data analytics concepts and tool usage for real-world problem-solving. Its hands-on approach and instructor feedback enhance the learning experience, making it highly recommended. – Daniel @ Course Report

The Berkeley Online Data Analytics Bootcamp features a fast-paced curriculum with live classes three days a week. Focusing on real-world examples and hands-on projects, the course is designed to teach students practical skills that they can start using immediately. Upon completion, students receive a certificate from UC Berkeley Extension and benefit from career service both during and after the course ends.

Some topics and tools covered in the curriculum include Excel, Python, JavaScript, HTML5/CSS, API interactions, SQL, Tableau, fundamental statistics, machine learning, and Git and GitHub.

The live classes held each week are interactive, with plenty of student participation and collaboration. Although the main focus is data analytics, graduates of the course will acquire skills that are also applicable to the broader field of data science. – Lena @ Course Report