FLEXIBLE SCHEDULE • REMOTE • MENTORSHIP • CAREER COACH • JOB GUARANTEE
Data Analytics Bootcamp: Become a Data Analyst. Job Guaranteed.
Become a data analyst on your schedule with our flexible, remote program. Learn the technical and business thinking skills employers look for in just 6 months, before landing a job with support from your career coach, or you'll get a full refund.
Our graduates have been hired by top tech companies
A data analytics bootcamp on your schedule, backed by our Job Guarantee
Real human support at every step
Build job-ready skills
Springboard Job Guarantee
Learn the skills hiring managers look for
According to hiring managers, most job seekers fail to impress on structured thinking and problem-solving.
Our data analytics bootcamp goes beyond just the technical skills, to focus on areas where employers find the biggest gaps -- strategic thinking, problem-solving, and communication.
Watch videos from Microsoft. Learn insights from McKinsey experts. Tackle case studies from Harvard Business School.
You’ll graduate with an analytical mindset. That’s an edge not just for your job search, but throughout your career.
An industry-leading program
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 6 months or you can dedicate more time to finish faster.
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
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
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)
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
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
Build industry-level projects
In addition to small projects designed to reinforce specific concepts, you’ll complete two capstone projects focused on a realistic data analytics scenario that you can show to future employers.
While working on the projects, you'll:
Choose an industry datasetConduct end-to-end analysisSynthesize insights in slide deck formatPresent your findings
Work 1:1 with a mentor
1-on-1 guidance
Accountability
On-demand mentor calls
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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 strategyBuild your data analytics networkFind the right job titles and companiesCraft a data analytics resume and LinkedIn profileAce the job interviewNegotiate your salary
Springboard graduates were hired by...
Our Data Analytics students launch fulfilling careers
Meet a few of our Springboard alumni
Sylwia Padiasek
Joel Antolijao
Is this data analytics bootcamp right for me?
This bootcamp requires the skills and experience detailed below. If you don't have any experience, our Foundations to Core program will build your knowledge from scratch, before starting the core curriculum at no extra cost.
Prerequisites
Strong critical thinking and problem-solving skills.2 years of professional work experience working regularly with office, design or programming tools.
No data analytics experience?
Foundations to Core is a beginner-friendly course that will help you master the basics before starting the data analytics bootcamp at no cost.
Learn more
Data analytics bootcamp start dates
The Data Analytics Career Track is a 6-month program. Most students devote 15-20 hours a week to complete the course.
Tuition
Every tuition option comes with Springboard's job guarantee. If you don’t get a data analytics job within six months of graduation, you get a full refund. Read the full Job Guarantee eligibility terms and conditions here
See how Springboard Compares
We're the only data analyst bootcamp that teaches you the business thinking skills that employers care about. Designed to fit your schedule at an affordable price.
Apply for the Data Analytics Bootcamp
Secure your spot now. Spots are limited, and we accept qualified applicants on a first come, first served basis.
400+ hour expert-curated curriculumRegular video calls with your mentorOn-demand mentor supportActive online student communitySupport from community managers1:1 and group coaching callsResume and portfolio reviews1-on-1 mock interviewsAccess to our employer networkJob GuaranteeFrequently Asked Questions
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.
There are 4 payment options (all of which come with our job guarantee as long as you meet eligibility requirements). Our two standard payment plans are:
- Upfront payment: You pay $8,500 upfront for 6 months. This is a 16% discount on the monthly plan.
- Monthly Plan: You pay $1,690 per month while you are enrolled in the program. If you take 6 months to graduate, your total payment is $10,140. If you graduate sooner, you pay less!
In addition, we have 2 other payment options. These are available by application to qualifying US citizens and permanent residents. If you are not a US citizen or permanent resident, you can still apply for financing with a fully qualifying co-borrower who is a citizen or permanent resident - as long as you both have a US address.
- Deferred Tuition: You pay a $500 deposit upon enrollment to confirm your seat, then pay the remaining tuition only when you land a job using your newly learned skills. You can pay that final balance in 36 monthly installments of $374. The remaining tuition will be waived if you don’t get a job, and maintain eligibility, within six months of graduating!
- Climb Credit loan: Available by application to qualifying US citizens and permanent residents. If you are not a US citizen or permanent resident, you can still apply for financing with a fully qualifying co-borrower who is a citizen or permanent resident - as long as you both have a US address. If approved, you pay a deposit to confirm your seat, then finance the remaining tuition through a loan. You’ll make small interest-only payments for the first 6 months ($56 - $171/mo). After that, you will pay 36 monthly payments of $339 - $407. Learn more here
- Due to regulatory issues, Climb Credit can no longer fund loans for Maine residents. If you live in Maine, you can still be approved if you apply with someone from any other U.S. state.
- Please note: lending might not be available in all 50 states - click here for the current full lending list.
All charges will be in USD (based on the above prices). If you reside outside the U.S., this might carry an additional transaction fee, depending on the bank you use. We display prices in your local currency to give you an estimate of how much you will pay based on prevailing exchange rates, excluding transaction fees.
Yes, we have a financing option available! Students can apply for a loan with our partner Climb Credit, and if approved, use it to pay for tuition. Learn about the application process on Climb Credit's website here.
We do also have a Deferred Tuition payment plan. With this payment plan, you can pay an initial upfront deposit ($500) and then not pay anything else until you land a new job. Your tuition will be broken up into payments of $374/month over 36 months.
We not only provide content to help you get a data science job quickly, we want you to have more impact in the role that you land.
Your tuition includes:
- 400+ hour curriculum of technical and career materials curated by industry experts.
- Regular 1-1 video calls with your personal mentor.
- Access to an exclusive community of mentors, career coaches, and peers.
- Dedicated community managers to answer questions and give feedback on projects within a day.
- Personalized feedback to help you polish your resume, portfolio, and social profiles.
- 1-on-1 sessions with a career coach to personalize your pitch and job-search strategy.
- Lots of interview practice via 1-on-1 mock interviews (behavioral and technical).
- Exclusive access to an employer network.
- 100% money-back guarantee if you can't find a job within six months of course completion.
- All taxes and fees.