Evan Rorie
Before
Recruiter
Now
Data Analyst
OnlinePart-time

Data Analytics Bootcamp

Launch your Data Analytics career in 4 months. Learn AI-powered analytics skills and graduate job-ready for roles starting at $62,000.

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A Top 3 Online Bootcamp

Built to help you move into an AI-ready tech career with confidence

+$15,75kmedian salary increase after transitioning into analytics roles
2,600+graduates who completed the program
80%of graduates had zero coding skills or previous tech-related experience
Our guarantee: job in tech or 100% money-back*
No IT or STEM
background needed
4.8/5 rating across
2.5k+ reviews

*Get a relevant job in 10 months or your tuition back when you complete our included Career Services package and make a good-faith effort to find a job. Details in our Terms of Use.

What is Data Analytics
in the AI era?

Data Analytics uses data to solve problems and guide business decisions. In today’s AI-powered workplace, analysts use AI tools to work faster and uncover deeper insights, while providing their unique human context and judgment.

Data Analysts help teams understand what’s happening in a business, why it’s happening, and what to do next. AI has changed how analytics is done, but hasn’t replaced the need for these roles.

Over 100,000 entry-level data analytics roles are posted annually in the U.S. About 40% are remote-friendly.

Where can your Data Analytics training take you?

Business Intelligence &
Data Analytics
Creating dashboards and uncovering trends using SQL and Tableau/Power BI.
$75,000starting pay
for Data Analysts
Operations & Process AnalyticsImproving company efficiency by applying predictive analytics to operational data.
$66,000starting pay
for Operations Analysts
Data Governance & Reporting SystemsEnsuring data quality and building data models using Python tools like Pandas.
$75,000starting pay for
Data Systems Analysts
Product & Strategic AnalyticsGuiding product strategy through AI-powered data analytics and prompt engineering.
$108,000starting pay for
Product Analytics Managers
Sources: Glassdoor.com

Data Analytics is a high-income career track with high potential for growth

$62,000
Median starting pay
$90,000
Median pay in 1–3 years
$110,000
Mid-level positions
$158,000
Senior positions

You after TripleTen

Data Analyst
LinkedIn
LinkedIn
GitHub
GitHub
$62,000
Expected salary
Hard Skills
Google Sheets
Google Sheets
Excel
Excel
SQL
SQL
Tableau
Tableau
Power BI
Power BI
Pandas
Pandas
Git
Git
GitHub
GitHub
VSCode
VSCode
Jupyter Notebook
Jupyter Notebook
Data Modelling
AI for Data Analytics
Prompt Engineering
Predictive Analytics
Storytelling
Drawing conclusions
Analytical thinking
Soft Skills
Stakeholders Management
Problem Solving
Time Management
Cross-Team Collaboration
Networking
Business Thinking
Education
TripleTen Data Analytics
Bootcamp
Projects
Predictive Revenue & Customer
Lifetime Value (CLV) Engine
Analyzed transaction data to identify top customers and forecast revenue growth.

How you get a new career in 4 months:

1Immersive Data Analytics training that fits your life—and employer demandTell me more
2On-the-job experience and a project portfolio to impress recruitersTake a closer look
3Career coaching and guidance, with job search prep and lifelong supportWhat’s that?

Our grads get great jobs with both startups and industry giants

4-month of career-
oriented education
Updated
monthly
Built with input from
hiring teams

Your journey will be divided into sprints: two-week-long work periods grouped into modules. At the end of the sprint, you will apply the skills you’ve learned to work on a project that will be reviewed by industry experts.

Download .pdf
A first look at business data analytics
2 weeks

Learn how data analysts support business decisions. You’ll explore core business metrics, descriptive analytics, and common analytical frameworks, while setting up your tools and getting introduced to AI-assisted analytics workflows.

Hard skills

  • Business Analytics
  • Analytical thinking
  • Data Structures
  • Data visualization
  • Data Formatting
  • Drawing conclusions
  • Storytelling
  • AI for Data Analytics (intro level)
Spreadsheet data analysis
2 weeks1 project

Build a strong analytics foundation using spreadsheets. You’ll clean and prepare data, calculate key metrics, use pivot tables, and explore trends — skills that transfer directly to SQL and other analytics tools.

Hard skills

  • Google Sheets
  • Excel
  • Data Formatting
  • Data Preprocessing
  • Data Visualization
  • Drawing conclusions
  • Analytical thinking
Data collection and storage (SQL)
2 weeks1 project

Learn how to work with relational databases using SQL. You’ll write queries to filter, aggregate, and combine data efficiently, focusing on answering real business questions instead of working with entire datasets.

Hard skills

  • SQL
  • Data Structures
  • Data Modelling
  • Data Preprocessing
  • Analytical thinking
Python for Data Analysis
2 weeks1 project

Use Python to automate data cleaning and analysis. You’ll work with structured datasets, perform exploratory analysis, and uncover patterns and trends that are difficult to find using spreadsheets alone.

Hard skills

  • Python
  • Pandas
  • Jupyter Notebook
  • VS Code
  • Data Preprocessing
  • Data Structures
  • Analytical thinking
Data visualization with Power BI
2 weeks1 project

Design interactive dashboards for business stakeholders. You’ll model data, create meaningful metrics, and build reports that support exploration, storytelling, and decision-making in real-world environments.

Hard skills

  • Power BI
  • Tableau
  • Data Visualization
  • Data Modelling
  • DAX (Power BI context)
  • Storytelling
  • Drawing conclusions
Predictive analytics
2 weeks1 project

Get introduced to predictive analytics and machine learning. You’ll build and evaluate models in Python, learn how predictions are used in business, and interpret results in a practical, decision-focused way.

Hard skills

  • How to use Predictive Analytics
  • Scikit-learn
  • Python
  • Pandas
  • Data Preprocessing
  • AI for Data Analytics
  • Analytical thinkingython
Communicating complex results
2 weeks1 project

Learn how to turn analysis into clear, executive-level communication. You’ll combine data visualization, storytelling, and strategic framing to present insights and recommendations with confidence.

Hard skills

  • Storytelling
  • Data Visualization
  • Drawing conclusions
  • Business Analytics
  • Analytical thinking
  • Prompt Engineering (for analysis & communication support)
Final project
2 weeks

Bring everything together in an end-to-end analytics project. You’ll define a business problem, work with multiple data sources, build analysis and dashboards, and present stakeholder-ready results.

Free bonus course for new students

Free

Computer Literacy

“Not a tech person”? Don’t know a browser from an OS? Take this course to get up to speed! Learn how to use a computer and industry-standard apps so you’re ready to break into tech.

No IT or STEM background needed. Our program is beginner-friendly!
No entrance exams
or pre-requisites.
Flexible program
with regular project
deadlines.

Stuck? Instructors and our 
AI assistant are here to help

Get instant hints from Dot, our friendly AI assistant, or connect with an instructor who works in the field you’re entering.

Learn more about support options

Build professional skills using industry-standard tools

TripleTen’s online Data Analytics bootcamp is designed to prepare you with up-to-date skills that employers are looking for.

See how you’ll learn tech skills

Get real work experience.

How do you find a job when everything requires experience?
Gain experience while you study. TripleTen students can take on business projects for client companies to put on their resumes and in their portfolios.

Learn about on-the-job training
Supernova
At Supernova MGU, data-driven decisions optimize underwriting efficiency and pricing. Students analyzed data to uncover insights and solve business issues like premium revenue, decline rates, and underwriting inefficiencies.
supernovamgu.com
Boston Public Library
Boston Public Library is the first large free municipal library in the United States, and first public library to lend books. TripleTen students worked on updating of the existing dashboard of visitors for BPL, turning it into a single-page dashboard with controls to select a date range and then view graphs and charts of visitor activity for that time interval.
bpl.org
CrewTracker Software
CrewTracker Software is the leading provider of the comprehensive Digital Services Platform for the Snow and Ice Management industry. Students contributed to enhancing the user experience of CrewTracker Software through a comprehensive redesign and enhancement of existing Crystal Reports to the Microsoft Power BI platform.
crewtracker.com
Supernova
At Supernova MGU, data-driven decisions optimize underwriting efficiency and pricing. Students analyzed data to uncover insights and solve business issues like premium revenue, decline rates, and underwriting inefficiencies.
supernovamgu.com
Boston Public Library
Boston Public Library is the first large free municipal library in the United States, and first public library to lend books. TripleTen students worked on updating of the existing dashboard of visitors for BPL, turning it into a single-page dashboard with controls to select a date range and then view graphs and charts of visitor activity for that time interval.
bpl.org
CrewTracker Software
CrewTracker Software is the leading provider of the comprehensive Digital Services Platform for the Snow and Ice Management industry. Students contributed to enhancing the user experience of CrewTracker Software through a comprehensive redesign and enhancement of existing Crystal Reports to the Microsoft Power BI platform.
crewtracker.com

Get hired for a career-track role with our help

Finding a Data Analytics job is much easier with professional help. Prep for interviews, perfect your resume, and help automate the job search with AI.

Check out our career services

Will I get a certificate?
Of course! It’ll look great on your resume and LinkedIn :-)

2,600+ TripleTen alumni.80% of graduates had zero coding skills or previous tech-related experience

Sheldon Kinsler
Before
Real Estate Agent
Now
Business Data Analyst

“I was able to get through it just thanks to the tutors and the community. Everyone's super helpful and will answer pretty much any question you have.”

Andrew Self
Before
Automotive Service Advisor
Now
Payroll Analyst

“What helped me stand out were my projects that I had listed and could touch on to prove that I had experience in the programs that I would be using every day.”

Lidia Jimeno Harvey
Before
Freelance designer
Now
Senior Associate Data Analyst

“The career coach was there to help boost your confidence, to make you feel better with yourself, and keep going.”

Michelle LeMichelle Le

“Coming from a non technical background, I never thought that I would be coding, but now I really do enjoy using Python. It's one of my favorite tools.”

Full story
Will Hollis
Before
Patient Services/Filmmaker
Now
Claims Processor/
Reimbursement Specialist

“To start at a place where I did not know dashboards and I didn't know Power BI and get to a place where I felt very comfortable using them was pretty satisfying.”

Gor Mikayelyan
Before
Logistics Analyst
Now
Data Scientist

“Every sprint was a reward in itself when I learned something new. That gave me the confidence boost to keep going on to each and every sprint.”

Ryan Elmachtoub
Before
Mechanical Engineer
Now
Data Scientist

“I found that data science is applicable across many industries. It almost feels like the things that you can do with data science have a sense of magic to them. You look at them and say, ‘Wow, how did that happen?’ and that's what drew me to it.”

Sheldon Kinsler
Before
Real Estate Agent
Now
Business Data Analyst

“I was able to get through it just thanks to the tutors and the community. Everyone's super helpful and will answer pretty much any question you have.”

Andrew Self
Before
Automotive Service Advisor
Now
Payroll Analyst

“What helped me stand out were my projects that I had listed and could touch on to prove that I had experience in the programs that I would be using every day.”

Lidia Jimeno Harvey
Before
Freelance designer
Now
Senior Associate Data Analyst

“The career coach was there to help boost your confidence, to make you feel better with yourself, and keep going.”

Michelle LeMichelle Le

“Coming from a non technical background, I never thought that I would be coding, but now I really do enjoy using Python. It's one of my favorite tools.”

Full story
Will Hollis
Before
Patient Services/Filmmaker
Now
Claims Processor/
Reimbursement Specialist

“To start at a place where I did not know dashboards and I didn't know Power BI and get to a place where I felt very comfortable using them was pretty satisfying.”

Gor Mikayelyan
Before
Logistics Analyst
Now
Data Scientist

“Every sprint was a reward in itself when I learned something new. That gave me the confidence boost to keep going on to each and every sprint.”

Ryan Elmachtoub
Before
Mechanical Engineer
Now
Data Scientist

“I found that data science is applicable across many industries. It almost feels like the things that you can do with data science have a sense of magic to them. You look at them and say, ‘Wow, how did that happen?’ and that's what drew me to it.”

Sheldon Kinsler
Before
Real Estate Agent
Now
Business Data Analyst

“I was able to get through it just thanks to the tutors and the community. Everyone's super helpful and will answer pretty much any question you have.”

Andrew Self
Before
Automotive Service Advisor
Now
Payroll Analyst

“What helped me stand out were my projects that I had listed and could touch on to prove that I had experience in the programs that I would be using every day.”

Lidia Jimeno Harvey
Before
Freelance designer
Now
Senior Associate Data Analyst

“The career coach was there to help boost your confidence, to make you feel better with yourself, and keep going.”

Michelle LeMichelle Le

“Coming from a non technical background, I never thought that I would be coding, but now I really do enjoy using Python. It's one of my favorite tools.”

Full story
Will Hollis
Before
Patient Services/Filmmaker
Now
Claims Processor/
Reimbursement Specialist

“To start at a place where I did not know dashboards and I didn't know Power BI and get to a place where I felt very comfortable using them was pretty satisfying.”

Gor Mikayelyan
Before
Logistics Analyst
Now
Data Scientist

“Every sprint was a reward in itself when I learned something new. That gave me the confidence boost to keep going on to each and every sprint.”

Ryan Elmachtoub
Before
Mechanical Engineer
Now
Data Scientist

“I found that data science is applicable across many industries. It almost feels like the things that you can do with data science have a sense of magic to them. You look at them and say, ‘Wow, how did that happen?’ and that's what drew me to it.”

Read more real student stories

4.8/5 across 2,500+ reviews on trusted platforms

Money-back guarantee

We believe that you’ll get into tech in 10 months. In fact, we put money on it.

1Graduate, completing
the included career prep
and coaching programs.
2Apply to relevant jobs
and stay in touch with your career coach
3If you don’t have a job after 10 months, we will refund 100% of your tuition

The TripleTen money-back
guarantee is legally binding.
For details, please see our
Terms of use

We also have a fair refund policy

After starting our Data Analytics Bootcamp, you have 2 weeks to withdraw with a 100% refund. After that, you can get a partial refund on a transparent schedule. Check our Terms of Use for more info.

What is a data analytics bootcamp, and how is it different from a degree?

TripleTen’s data analytics bootcamp is a part-time online program where you learn the essential skills by working with real data using tools like SQL, spreadsheets, and BI platforms.

With TripleTen, you skip the broad, academic coursework and go straight to building usable skills and a portfolio that employers actually value. Thanks to that, you’re job-ready in months instead of years, and you save a ton on the cost of a four-year degree.

Is a data analytics bootcamp really worth it?

Yes, a data analytics bootcamp is worth it. TripleTen's program offers an industry-catered curriculum, real projects, and actual career support, not just a certificate and a hearty wave goodbye. If you're serious about switching careers or leveling up and you're willing to really dedicate yourself, the return on investment is real. See what we mean by reading up on our student stories.

Who is a data analytics bootcamp best suited for?

A data analytics bootcamp such as TripleTen’s is best suited for career changers, recent grads, and working professionals looking to upskill fast without sitting through a four-year degree. It's a strong fit if you want structure, hands-on projects, and access to mentors and career guidance rather than just figuring everything out on your own through YouTube videos. Everyone from salespeople to former stay-at-home moms have found success with TripleTen’s Data Analytics program.

Can I enroll if I have no background in tech or math?

Yes, you can absolutely enroll without a background in tech or math. TripleTen’s program starts from scratch, teaching spreadsheets, basic stats, data cleaning, and more, so prior experience isn't required. That said, when people do struggle, it’s usually because they’ve overestimated how much time they can give to their studies. Basically, showing up consistently and really putting in the work matters more than any prior knowledge.

What skills and tools will I learn in a data analytics bootcamp?

The core skills you’ll learn in TripleTen’s Data Analytics program include data cleaning, exploratory analysis, and dashboard creation, all of which are tied to real business problems you’ll encounter in actual companies later on. On the tools side, expect SQL, Excel and Google Sheets, Power BI, Tableau, and Python for more advanced work.

Can a bootcamp get me a data analyst job with no experience?

A bootcamp such as TripleTen’s gives you the skills and portfolio to compete for entry-level data analyst roles if you do the work. Employers want to see projects, problem-solving ability, and an understanding of the business context behind the data. This know-how is what TripleTen’s program provides. Pair that with networking, a sharp resume honed with TripleTen’s career experts, interview skills gained in mock interviews with these same experts, and your chances of employment are good.

How long does it take to complete a data analytics bootcamp?

TripleTen's part-time Data Analytics program runs for four months, enough time to make sure our grads are finishing with employment-ready skills without asking them to commit too long before they realize the transformation they’re aspiring to. Following that, they benefit from career-focused advice from industry-seasoned experts.

Is data analytics a good career path in 2026?

Data analytics is, without question, a great career path to pursue in 2026. Data roles span every industry and department, so hiring is projected to grow 25% by 2030. In addition, with the advent of AI, data skills are becoming even more valuable, so know-how here can be the cornerstone of a great career. This is part of the reason TripleTen is also teaching AI skills as part of its data analytics curriculum.

What kind of projects or portfolio entries will I build?

At TripleTen, the projects you’ll create include several end-to-end capstones where you take a messy real-world dataset, clean it, analyze it, and deliver insights through a dashboard or written report. We catered this work to mimic how things are actually done in the industry. In addition, with this, you can develop a GitHub or a personal site so hiring managers can quickly get a feel for your work.

How intense is the workload in a data analytics bootcamp?

The workload at a data analytics program like TripleTen’s is accessible, but no joke. Plan to spend around 20 hours a week studying. The learners who do well treat it like a part-time job, sectioning off consistent blocks of time for lessons, exercises, and project work, and making room for extra sessions when something like SQL isn't clicking yet.

What should I look for when choosing a data analytics bootcamp?

When choosing among data analytics programs, be skeptical of vague job guarantees, thin project work, weak SQL coverage, and programs where feedback is basically nonexistent. Here’s what you want: a clear syllabus, honest expectations, responsive instructors, and proof that graduates are actually landing analyst jobs as opposed to just finishing videos.

Do employers actually value data analytics bootcamps?

Yes, employers value the education provided at these programs. It’s simple: they care about what you can do, not where you learned it. A bootcamp such as TripleTen’s earns its credibility through the education it provides, which is ultimately proven by the quality of your projects and your ability to walk through your thinking in an interview. We train you to build impressive projects and explain your logic, and that's what really converts training into a job offer.

Will I get a new job after graduation?

While no bootcamp, or any other educational program, can guarantee a job in good faith, your chances are very strong. Nearly two-thirds of our graduates secured a job within the first 10 months of their job search, according to the latest outcomes report. In 2026, we are no longer just looking for a "tech job"; we are building career resilience in an AI-driven economy; 88% of our graduates who landed roles in 2024 were still thriving in their new careers a year later.

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Learning that fits your life, with constructive feedback and top-notch support.

Learn and practice anywhere through our online platform
Continued access to concepts and coding practice even after you graduate!
There are no set lesson timelines or mandatory meeting times
Learn at your own pace, with access to regular live tutoring and group-work sessions.
There are hard project deadlines to keep you on track
Don’t stress! There’s a lot of built-in flexibility for when life happens.
Get unstuck quickly
Human and AI support is available right on the learning platform, so you can keep making progress.
Meet with instructors
Office hours are available daily: drop in and get answers.
TUE14
Office hours w/ Serge2 PM — 3 PM
Final project tutoring w/ Alice4 PM — 6 PM
Use AI hints
The learning platform’s built-in AI provides instant help with coding tasks.
Ask your AI assistant
Dot, your friendly AI helper, helps guide you and adapts to your learning style.

Practice and improve your skills with personal feedback from your instructors

Learn Data Analytics the way you’d learn on the job—with detailed feedback and help from experienced Data analysts.

Reach out to your learning coach to talk through any issues you encounter. They’ll keep you motivated and help problem-solve.

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Get real work experience: complete a Data Analytics project for one of our 250+ employer partners

Through your TripleTen bootcamp, you’ll connect with a business client and use your new skills to build a real-world project to put on your resume.

1
Join a team, get it done
Work with other students and a project lead to deliver what the client needs.
2
Present your project directly to the client
Put together a presentation.
Meet with the client company rep to receive live feedback.
3
Stack your portfolio
and LinkedIn
Show your work in your portfolio and professional profile.
Atajan AbdyyevAtajan Abdyyev

“I liked that there real projects with real companies at TripleTen, and that you had to finish projects in a certain amount of time.”

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Become a magnet for recruiters 
with a personal career coach and AI job-hunting tools

Outstanding LinkedIn profile to attract recruiters
Build connections with step-by-step networking help
Polished GitHub portfolio to impress technical recruiters
AI-powered job applications to speed up the search
Get a personalized job search strategy
Know your worth, and be ready to tell your story. Students report a surge in recruiter messages once coaches rework their profiles.
Interview with confidence
Practice interviewing in live sessions with industry experts. Be ready for any question after HR and technical mock interviews.
Get hired faster with AI on your side
From AI-powered job applications to offer negotiation support, we help maximize your “application-to-offer” conversion rate.
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Get help and make progress—at any time of day or night

Instructors, online 10am–2pm
Learn from people working in tech
All of our instructors have 5+ years experience in their field. They’ll tell you exactly what worked, and why, on each project.
Hold group office hours
Tutor you 1-on-1
Review and give feedback
Suggest additional practice
Serge
Aimee
Andrew
Max
Dot, online 24/7
Get unstuck quickly with AI
Our friendly AI assistant, Dot, gives you instant hints and guidance (without giving away answers). It even adapts to your learning style.
Explains theory
Reviews coding tasks
Explains code errors
Summarizes content
94% of students are big fans of Dot’s support

David
You’ve achieved something
unique with Dot—it adapts to
my learning style like a real
mentor.

Steven
I like how Dot guides you
instead of giving answers—
that’s how you really learn.

Lora
Dot is so helpful I just found
what I'm going to name my
next child...