Build skills and put them to the test with a curriculum designed by data analytics experts.
Springboard data analytics graduates have been hired by:
Build skills and put them to the test with a curriculum designed by data analytics experts.
Work with a mentor, career coach, and more. They’ll share their expertise and hold you accountable.
We back our program with a job guarantee. Get a job or you'll receive a full refund See terms.
Learn data analysis using tools from the company that practically invented the field. In this course, you’ll also learn the strategic thinking mindset you’ll need on-the-job.
Over six months, you’ll master both technical and strategic thinking skills to succeed as a data analyst. Learn AI tools to assist in uncovering patterns and extracting insights for decision making that will drive change in almost any company.
In this unit of our online data analytics bootcamp, you'll learn to break down problems into bite-sized chunks, which can be tested via hypothesis trees. This type of thinking will guide your analysis and prevent you from analyzing data for the sake of analysis.
Learn structured thinking through case studies and problem statement worksheets
Work through problem-solving frameworks and processes, such as the HDEIP Framework, 7-Step Problem Solving Framework, and others
Break down problems to find a solution using Issue trees, hypothesis trees, and value-driver trees
Excel is an essential tool for day-to-day tasks, from creating detailed dashboards and putting together simple investigations. In this unit, you’ll practice key areas and functions of Excel.
You’ll also work on the first phase of your Capstone project by generating ideas and finding a dataset.
Use logical operands and advanced Excel formulas and functions
Use pivot tables for well-structured data
Apply statistical functions
Create basic visualizations using tools like bar charts, waterfall charts, and column charts
As a data analyst, you’ll have to understand the data in front of you and translate it into a business mindset. In this unit of our data analytics boot camp, you’ll learn how to become more fluent in financial concepts.
Apply problem-solving and analytical skills to real-life data sets to derive business insights
Define financial terminologies such as revenue, cost of goods sold, earnings before interest, assets, liabilities, and profitability
Work on a case study covering creating a problem statement, value driver trees, revenue analysis, total operating expenses, EBIT calculations, and presenting your visualized data
In this unit, you’ll begin to unpack economic principles that will drive your data analysis. You’ll understand how the larger economic environment will inform business questions and decisions.
Study high-level economic principles like demand, supply, elastic goods, inelastic goods, monopolies, market supply, and cost curves
Develop business insights based on data analysis and economic principles
Complete a case study on cost-effectiveness and present it
Following a unit on economics, you’ll focus on understanding how statistics make up decision-making. You’ll learn two kinds of statistics — descriptive and inferential.
Descriptive statistics concepts like mean, median, mode, spread, histograms, and box plots
Inferential statistics concepts like correlation, confidence intervals, margins of error, and regression
Continue with the case study and provide descriptive and inferential stats
In this unit, you’ll move away from upfront analysis and work on making your data more accessible to all audiences through visualization tools. Knowing how and when to display trends and patterns in data can make a difference between having your insights and decisions sink or swim.
Develop an advanced ability to use two visualization tools: Tableau and Power BI
Learn to prepare data, such as reshaping and removing bad data
Learn the basics of Data Analysis Expressions (DAX)
Work on a case study using the visualization tools you’ve learned
You’ve prepared your data and developed visualization tools. Now it’s time to craft a cohesive presentation to communicate to a variety of stakeholders. When you master the art of effective storytelling through visuals, executives won’t just adopt your analysis — they’ll promote adoption and grow the business based on those key insights.
Learn effective communication strategies, formats, and templates
Make effective presentations to technical and non-technical stakeholders, including C-suite executives, through case studies
In this unit, you’ll develop a high-level understanding of what databases are, learn about the databases you can use in your work, and how to communicate with databases.
Learn SQL best practices in writing queries (including common table expressions)
Learn about structured and unstructured databases
Complete a mini-project focusing on extracting data from a database via SQL, analyze it, and present your insights
This last technical unit concentrates on coding skills you’ll need to set yourself apart from your peers in the job market.
Learn basic Python syntax
Learn to use Git, GitHub, and Juptyer notebooks to share your code and projects
Learn to import and wrangle data
Work through practical exercises in Python with real data to extra insights
You’ll work on two capstone projects to give you the hands-on knowledge of working like a data analyst.
Capstone 1: Executed in three phases throughout the curriculum, you’ll conduct an end-to-end analysis. Find a data set, structure relevant and valuable problems, perform analysis, create visualizations, and present your findings and recommendations.
Capstone 2: A more in-depth and technical capstone that enhances your learning of the five steps of the HDEIP framework. You’ll find your dataset, create a problem statement and issue tree, analyze and visualize your data, create visualizations with Tableau or PowerBI, and present your findings. You’ll also extract data from a relational database using SQL and clean data using Python.
Career units throughout the bootcamp will help you create a tailored job search strategy based on your background and goals. Topics include:
Types of industry roles
Job search strategies
Building a network and using it to land interviews
Creating a high-quality resume, LinkedIn profile, and cover letter
Preparing for technical and non-technical interviews
Learn to harness the transformative power of AI in the world of data. Find out how AI can help you instantly identify data patterns, actionable insights, and the best business-case decisions. Explore different types of machine learning, plus gain understanding in the ethics of AI with a focus on fairness, transparency, and privacy. With AI you can become a more powerful analyst and a valuable asset to your employer.
Boost your job search. Improve your ideas. Stand out from the crowd. All with AI as your collaboration partner. Our NEW AI interactive learning series gives you access to experts putting AI to work for their businesses, so you can too. All free when you become a student.
The best way to learn data analytics is to get hands-on experience using real data. In this course, you will complete 29 mini projects and two capstone projects and build an interview-ready portfolio you can show to future employers.
While working on projects, you will:
Choose a data set and conduct end-to-end analysis
Create a presentation and share your findings
Capstone project: Equitability of solar panels
Capstone project: Impact of service in professional tennis
Mentor: Chris Hui
Head of Product, Strategy and Operations
Mentor: Venkatraman Prabhu
Sr. Product Manager
Mentor: Leslie Chen
Other bootcamps like General Assembly 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.
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 after completing the program.
Average salary increase of data analytics students who provided pre- and post-course salaries.
Of job-qualified individuals who reported an offer, received it within 12 months of graduation.
Enrolled students in the data analytics bootcamp since 2019.
Invest in yourself with confidence with the Springboard Job Guarantee. If you put in the work and don't land a job, we'll give you a refund. Terms apply.
Eligibility for the Springboard Job Guarantee:
2 years of relevant work experience
Successful completion of all mandatory coursework, core projects and career development tasks
Fulfill all post-completion job search requirements — regular networking, job applications and interviewing
Become a data analyst from scratch at no extra cost. Build foundational skills in structured thinking and data visualization before you take on the core Data Analytics Career Track curriculum.
This data analytics bootcamp is a six-month program for students devoting 15-20 hours per week.
Everyone should have the opportunity for growth. That’s why we offer a range of payment options.
These are the average salaries of data analysts in the US.
Data as of November 2022; cross-referenced with Glassdoor, LinkedIn, Indeed, Payscale, Salary.com, BuiltIn, and Comparably.
Spots are limited, and we accept qualified applicants on a first-come, first-served basis. Start your free application. It takes just 5 minutes to complete.