Data Analytics Bootcamp x Microsoft

Become a data analyst. Land a job or your money back.

  • Graduate in six months, part-time, and start working in the high-demand field of data analytics

  • Meet regularly with an experienced mentor to ask the questions you care about

  • Land the job you want with 1:1 coaching

  • 100% online project-based curriculum

  • NEW! AI for Data Professionals learning units

Springboard data analytics graduates have been hired by:

amazonsamsung logo

Accelerate your earnings with analytics


Average salary increase of Springboard data analytics students who provided pre- and post-course salaries

December 2023

In this data analytics bootcamp, you will:

  • Transform real-world datasets into actionable recommendations

  • Master technical and strategic thinking skills and frameworks

  • Develop an advanced ability to use visualization tools and other data skills

Plus, our online data analytics bootcamp covers all relevant data analysis tools, including:

Our innovative online model will teach you how to transform data into strategic insights that make an impact in six months.

Learn job-ready, in-demand data skills

Build skills and put them to the test with a curriculum designed by data analytics experts.

Get an edge with human support

Work with a mentor, career coach, and more. They’ll share their expertise and hold you accountable.

Land a job or your money back

We back our program with a job guarantee. Get a job or you'll receive a full refund See terms.

Get in with Microsoft

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.

What you’ll learn in this data analytics bootcamp

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.

Topic 1: Structured Foundations

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

Topic 2: Microsoft Excel for Business Analytics

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

Topic 3: Financial Analysis

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

Topic 4: Economics for Data Analysis

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

Topic 5: Statistics for Data Analysis

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

Topic 6: Data Visualization Tools

In this unit, you’ll move away from upfront analysis and work on making your data more accessible to all audiences through data 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

Topic 7: The Art of Storytelling

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

Topic 8: Data Connectivity

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

Topic 9: Data Analysis in Python

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

Topic 10: Projects

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.

Topic 11: Career Support

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

  • Successful negotiation

NEW! AI learning units added to the data analytics curriculum

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.

Build a portfolio that proves your skills to hiring managers

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

  • Synthesize insights

  • Create a presentation and share your findings

Past projects from Springboard students

Tyler Hartshorn

Capstone project: Equitability of solar panels

Jorge Marin

Capstone project: Impact of service in professional tennis

  • Personalized guidance to move you forward

    Regular video calls with an experienced data analyst mentor, where you can ask the questions that matter to you

  • Accountability at every step

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

  • Industry insight on demand

    Get additional 1-on-1 help from experienced data analyst mentors within our community, at no extra cost.

Mentor: Chris Hui

Head of Product, Strategy and Operations

Mentor: Venkatraman Prabhu

Sr. Product Manager

Mentor: Leslie Chen

Product Manager

Here’s why people like you choose Springboard

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.

Nelson Borges

From Marketing Manager

To Insights Analyst @ LinkedIn

Land the job you want 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 after completing the program.

Your career coaching calls will help you:

  • Create a successful job search strategy

  • Build your data analyst network

  • Find the right job titles and companies

  • Craft a data science resume and LinkedIn profile

  • Prepare with mock behavioral and technical interviews

  • Negotiate your salary

Springboard graduates have achieved life-changing growth. You can too.


Average salary increase of data analytics students who provided pre- and post-course salaries.

December 2023


Of job-qualified individuals who reported an offer, received it within 12 months of graduation.

December 2023


Enrolled students in the data analytics bootcamp since 2019.

December 2023

A data analytics bootcamp with a job guarantee

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:

  • Bachelor’s Degree

  • 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


  • Strong critical thinking and problem-solving skills

  • Two years of professional work experience working regularly with Office or programming tools

Don’t meet the requirements? Start with our Foundations to Core program

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 Bootcamp curriculum.

Apply to the next bootcamp

This online data analytics bootcamp is a six-month program for students devoting 15-20 hours per week.

4 ways to fund your future

Everyone should have the opportunity for growth. That’s why we offer a range of payment options.

What are data professionals earning?

These are the average salaries of data analysts in the US.


Data as of November 2022; cross-referenced with Glassdoor, LinkedIn, Indeed, Payscale,, BuiltIn, and Comparably.

Your questions, answered

Ready to become a data analyst? Apply now

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.