No prerequisites • Remote • Job guarantee

Data Analytics Course: Foundations to Core. Go from Beginner to Data Analyst. Job Guaranteed.

Become a data analyst in less than 8 months with no prior experience. Learn on your schedule and land your dream job with 1-on-1 support at every step. If you don't land a job, you'll get a full refund.

Our graduates have been hired by top tech companies

From apprentice to expert, transform your career from scratch

Whether you’re new to data or already an Excel Wizard, our flexible format means that whatever and whenever you’re learning, we’ll be there supporting you.

Learning that fits your schedule

With our remote, project-based curriculum, learn to code when it suits you, so you don’t have to put your life on hold.

Real human support at every step

Work 1-on-1 with an expert mentor, industry career coach and student advisor when you need guidance from course start to new job.

Springboard Job Guarantee

We believe in you and our program, so if you don't land a data analytics job within 6 months of graduating, we'll give you a full refund.

Our Foundations to Core curriculum was built for beginners

There are no prerequisites for this course. Start by refreshing your math skills, creating basic graphs and charts in Excel, and learning essential problem-solving frameworks, before starting the core curriculum. If you’re already experienced with data, you'll start the core curriculum immediately.

Data Analytics Foundations to Core
Data Analytics Career Track
Prior data experience required
Data Analytics Foundations to CoreNo
Data Analytics Career TrackYes
Course length (part-time)
Data Analytics Foundations to Core8 months
Data Analytics Career Track6 months
Foundations curriculum
Data Analytics Foundations to CoreBasic math, visualizing data, logical inferences
Data Analytics Career TrackN/A
Career track curriculum
Data Analytics Foundations to CoreTechnical skills & data storytelling
Data Analytics Career TrackTechnical skills & data storytelling
Job guarantee eligible
Data Analytics Foundations to CoreYes
Data Analytics Career TrackYes
Data Analytics Foundations to CoreYes
Data Analytics Career TrackYes
Career coaching
Data Analytics Foundations to CoreYes
Data Analytics Career TrackYes
Upfront tuition
Data Analytics Foundations to Core$8,500
Data Analytics Career Track$8,500

An industry-leading program

Over 96% of our job-qualified data analytics students receive an offer within 12 months of graduating.
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All categories
Data Science

What you'll learn in this data analytics bootcamp

The 400+ hour curriculum features a combination of videos, articles, hands-on projects, and career-related coursework. Studying 15-20 hours per week, you should complete it in 8 months or you can dedicate more time to finish faster.

Foundations: Mathematics and data basics
Framing structured thinking
Analyzing business problems
Connecting data using SQL
Visualizing data with Python
Communicating your analysis

Refresh your basic math skills to start the course before moving on to visualizing data using multiple chart formats and finish with an introduction to the logical thinking frameworks analysts use to approach problems.

Students typically finish these units in 6-8 weeks but you can progress to the core curriculum at any time by passing the technical skills survey.

  • Percentages and ratios
  • Algebra as a data professional
  • Basic to intermediate visualizations using charts
  • Using issue trees to visualize data and solve problems
Estimated time: 25+ Hours

All data analysis starts with a question. But how does one ask the right question? In this unit, you'll learn to think in a structured manner and break down problems into bite-sized chunks, which can be tested. This will guide your analysis and prevent you from analyzing data for the sake of analysis.

  • Structured thinking through case studies and problem statement worksheets
  • Problem Solving Framework and Processes such as the HDEIP Framework
  • Issue Trees, Hypotheses Trees, and Value Driver Trees
Estimated time: 85+ Hours

A key skill analysts should have is the ability to structure their efforts around a central theme and present it to an executive with tangible business insight. In this unit, you’ll be introduced to common financial concepts as well as the basics of economics.

  • Using Excel to create a default financial analysis module covering revenue and operational cost modelling.
  • Financial concepts including revenue, cost of goods sold, profit, balance sheets, cash flow statements, income statements and EBIT
  • Economic concepts including supply and demand curves, cost curves
  • Statistical concepts including descriptive statistics (mean, mode, standard deviation, correlations etc.), correlations, simple and multivariate regression, confidence intervals
Estimated time: 30+ Hours

You’ve been asked to analyze an extensive set of data so you can answer the burning question your executive has. In this unit, you’ll develop a high-level understanding of what databases are, learn about the databases that you can use in your work, and learn how to communicate with databases.

  • Introduction to SQL, best practices in writing queries (including common table expressions) and common DA/BA tools
  • Introduction to structured and unstructured Databases
  • Introduction to set theory
  • Case studies and hands-on exercises in writing SQL with real data
  • Advanced supplementary material (i.e. Mode SQL)
Estimated time: 40+ Hours

Coding skills, especially the ability to do data analysis in Python, are an additional skill set which will set you apart from your peers in the job market. In this unit, you’ll learn the basics of Python and key Python libraries, including pandas, numpy, matplotlib, seaborn, and more. You will learn how to import and wrangle data, as well as visualize it.

  • Basic Python syntax
  • Introduction to Jupyter and Jupyter Notebooks
  • Data cleaning
  • Visualizing data and trends with Seaborn and Matplotlib
  • Practical exercises in Python with real data to extract insights that could be presented to an executive audience
Estimated time: 60+ Hours

Data analysts also need to be adept at presenting the results of their analysis to the appropriate stakeholders. This is a key, high-demand skill that separates effective business-oriented data analysts from the rest. This unit covers best practices for presenting to both technical and non-technical audiences, ranging from front-line employees to executives.

  • Visualization tools such as Tableau and PowerBi
  • Creating presentations with Powerpoints etc.
  • Effective communication strategies, formats, and templates
  • Presentations to technical and non-technical stakeholders, and C-suite executives through case studies
  • Presentation practice across different forms

Request a detailed syllabus

Work 1:1 with a mentor

Get the data analytics training you need with our mentor-guided learning, which helps you build skills faster and promotes career growth.

1-on-1 guidance

Regular meetings with an experienced data mentor, where you can ask the questions that matter to you.


Your mentor will help you stay on track and as you tackle your curriculum, project, and career goals.

On-demand mentor calls

Get additional 1-on-1 help from experienced design mentors within our community, at no extra cost.
"They have top notch mentors that are experts in their field...and the project helped me solve a real world problem."
Khaled Jafar
Director Business Transformation Analytics at Dell
Chris Hui
Senior Data Scientist
Leslie Chen
Business Associate
Ryan George
Data Analyst
Venkatraman Prabhu
Sr. Product Manager

Swipe to see more mentors

See more mentors

Get the perfect job with 1:1 career coaching

Our career-focused curriculum, 1:1 calls with your career coach, and mock interviews, will help you land your dream job. You can access these and all our career support services for 6 months after completing the program.

Your career coaching calls will help you:
Create a successful job search strategy
Build your data analytics network
Find the right job titles and companies
Craft a data analytics resume and LinkedIn profile
Ace the job interview
Negotiate your salary
"Since Springboard, I've really blended my passion into my work. I got a job on an advanced analytics team."
Lou Zhang
Data Analyst, IHS Markit
Springboard graduates were hired by...

Our Data Analytics students launch fulfilling careers

enrolled students in our Data Analytics Career Track since 2019.
August, 2021
of job qualified individuals who reported an offer, received it within 12 months of graduation.
August, 2021
Average salary increase of Data Analytics students who provided pre- and post-course salaries.
August, 2021

Meet a few of our Springboard alumni

Nelson Borges

Graduated: June, 2021
Previous Job: Marketing Manager
Current Job: Insights Analyst at LinkedIn

Other bootcamps didn't really relay to me that they would provide mentorship and help me find a job, or that they really cared about me, but Springboard did.

Sylwia Padiasek

Graduated: December, 2020
Previous Job: Coffee procurement
Current Job: Snr Analyst at Gro Intelligence

I think a lot of mentors at Springboard are like your friends. [My mentor] has really become my friend and we've talked many times since the course, just to check-in and see how things are going.

Joel Antolijao

Graduated: October, 2021
Previous Job: Fitness trainer
Current Job: Data Analyst at FanDuel

"[My mentor] went above and beyond to help me get to where I am now. Our weekly calls were supposed to be 30 minutes, but sometimes he’d be willing to spend an hour or two to help me with my capstone project.

Data analytics bootcamp start dates

The Data Analytics Foundations to Core program is an 8-month program. Most students devote 15-20 hours a week to complete the course.


Every tuition option comes with Springboard's job guarantee. If you don’t get a data analyst job within six months of graduation, you get a full refund. Read the full Job Guarantee eligibility terms and conditions here

Scholarship eligibility: Are you a woman or a veteran?
Upfront discount
Pay upfront and save 16% on tuition
Paid at the time of enrollment
Total cost
Monthly plan
Pay only for the months you need, up to 6 months
$1,690 /mo
Total: Up to $10,140
Paid at the time of enrollment
Monthly payments during course
Total cost
Variable (up to $10,140)
Deferred tuition
Pay monthly only after you start a data analytics job
$417 /mo
Total: $15,500
Paid at the time of enrollment
$500 refundable deposit
Monthly payments during course
Monthly payments after course
$417 for 36 months after starting new job
Total cost
* only available for U.S. citizens/permanent residents
Climb Credit loan
Finance your education with low monthly payments
$51 - 135*/mo
Total: $11,387 - $13,618*
Paid at the time of enrollment
Monthly payments during course
$51 - 135* (interest payments only)
Monthly payments after course
$308 - $356* for 36 months
Total cost
$11,387 - $13,618* (Loan amount of $9,640)
* range varies based on approved interest rate and only available for U.S. residents

Our graduates work at:

Apply for the Foundations to Core Data Analytics Bootcamp

Secure your spot now. Spots are limited, and we accept qualified applicants on a first come, first served basis.


The application is free and takes just 5 minutes.

Frequently asked questions

What are the prerequisites for admission?

The Data Analytics Foundations to Core course has no prerequisites. It includes foundational units helping you refresh your basic mathematics, get experience visualizing data using core chart formats and learn the logical frameworks analysts use to solve business problems before starting the Data Analytics Career Track curriculum.

If you’re already comfortable in these areas, you won’t be required to complete these units. During the enrollment process you’ll complete a technical skills survey which will help us gauge your ideal starting point.

How does the admissions process work?

Spots are limited and we accept candidates on a monthly basis. We have a multi-step application process.

  • The first step involves a 5 minute questionnaire to learn about your prior educational and work experience.
  • You’ll then have a brief phone call with one of our Admissions Directors to discuss your experience before taking a technical skills survey to determine your best starting point.
  • You may begin in the foundations curriculum or skip straight to the core course depending on the results.
How long does this course take?

The course includes a 400 hour core career track curriculum plus 40 hours of foundational units. Students are expected to graduate in 8 months working 15-20 hours per week, however you may choose to dedicate more time and complete sooner.

What are the eligibility criteria and terms for the Job Guarantee?

A career transition into data analytics is exciting, but involves focused and consistent effort. We are thrilled to have your back in this journey and ask for an equal commitment from you. In order to be eligible for this job guarantee, you should:

  • be 18 years or older.
  • hold a Bachelor’s degree from any educational institution in any subject, which is still a requirement by most employers for these roles.
  • have at least two years of professional work experience in an office environment
  • be proficient in spoken and written English, as determined by initial interactions with our Admissions team
  • be eligible to legally work in the United States, or in Canada if applying for positions in Toronto, for at least 2 years following graduation from the Career Track. See the detailed policy for further requirements about specific Visa types
  • be able to pass any background checks associated with jobs that you apply for
  • apply to positions, dedicate sufficient time and effort, and follow the job search process recommended to you by our career coaches.

Read the full eligibility criteria and terms here.