Become a data scientist. Backed by our Money-Back Guarantee. Build data science skills and master machine learning techniques through our 100% online project-based curriculum Build data science skills and master machine learning techniques through our 100% online project-based curriculum Get 1-on-1 mentorship + coaching to fast-track your career as a data scientist Get 1-on-1 mentorship + coaching to fast-track your career as a data scientist Graduate from our data science course in 6 months, part-time Graduate from our data science course in 6 months, part-time NEW! AI for Data Professionals learning units NEW! AI for Data Professionals learning units Our Data Science graduates have been hired by: A data science bootcamp on your schedule, backed by our Money-Back Guarantee Launch your data science career in just 6 months part-time. Our flexible, human-guided curriculum featuring advanced specialization means you can learn when you want with support as you need it. Build job-ready skills with 28 mini-projects and 3 capstones and an advanced specialization project that suits your career goals. Work 1-on-1 with an expert mentor, industry career coach and student advisor when you need guidance from course start to new job. If you complete all course and job search requirements on time and still don't secure a qualifying role, you may be eligible for a full post-completion refund. Term apply. Drive your career through data Average salary increase of Springboard data science students who provided pre- and post-course salaries In this data science bootcamp, you will learn: The six steps of the Data Science Method The six steps of the Data Science Method Problem identification and data wrangling Problem identification and data wrangling Analysis, modeling, and documentation Analysis, modeling, and documentation Plus, you’ll learn the tools and languages data scientists use: In just 6 months , you'll learn to master big data to solve big business problems and transform your career. Why launch a data science career? Data science has become an essential component of modern business and has exploded in popularity in recent years. The vast amounts of data generated by businesses and individuals have led to an increased demand for professionals who can analyze, interpret, and draw insights from these data sets. Data scientists are in high demand across a range of industries, including healthcare, finance, and technology. Why data science is a good career choice: The Bureau of Labor Statistics predicts that the employment of data scientists is projected to grow 38% from 2021 to 2031, much faster than the average for all occupations. The Bureau of Labor Statistics predicts that the employment of data scientists is projected to grow 38% from 2021 to 2031, much faster than the average for all occupations. According to Indeed, the average salary for a data scientist in the United States is over $128,000 per year. This high salary results from the demand for data scientists and the value they bring to organizations. According to Indeed, the average salary for a data scientist in the United States is over $128,000 per year. This high salary results from the demand for data scientists and the value they bring to organizations. According to a study published by McKinsey Global Institute, the U.S. economy could be short as many as 250,000 data scientists by 2027. According to a study published by McKinsey Global Institute, the U.S. economy could be short as many as 250,000 data scientists by 2027. Make better data-driven decisions with DataCamp We’ve partnered with DataCamp to develop this bootcamp. You’ll take courses on SQL and complete a case study using your new-found knowledge to demonstrate the skills you’ll need in your data science career. Join an industry-leading program We’ve helped thousands of students learn skills and land jobs. It’s why we’ve been consistently recognized as an industry leader. What you’ll learn We partnered with industry insiders—including DataCamp—so you can learn the skills employers look for. Our curriculum features a combination of videos, articles, and hands-on projects to help you succeed as a data scientist. Over six months, you’ll not only master core data science skills, but you’ll also learn AI tools to uncover data patterns and extract insights. The Python Stack Machine Learning Data Storytelling Capstone Projects Data Science Method In this opening unit, you’ll receive an overview of the Data Science Method and learn the skills needed to thrive in the field. You’ll hear about your day-to-day work duties, including data cleaning and building models from those in the field. Learn about key data science skills Learn about key data science skills Understand the six steps to the Data Science Method (DSM) Understand the six steps to the Data Science Method (DSM) Data Science Method In this opening unit, you’ll receive an overview of the Data Science Method and learn the skills needed to thrive in the field. You’ll hear about your day-to-day work duties, including data cleaning and building models from those in the field. Learn about key data science skills Learn about key data science skills Understand the six steps to the Data Science Method (DSM) Understand the six steps to the Data Science Method (DSM) The Python data science stack Python is a must-have programming skill in the data science world. You’ve already laid the foundation in pre-work, but this unit will teach you the language in-depth and also help you leverage pandas for data cleaning and manipulation. Follow coding best practices in Python Follow coding best practices in Python Learn Python data types, foundations, and standard libraries Learn Python data types, foundations, and standard libraries This unit explores wrangling—or how to clean, organize, and structure raw data—in a hands-on way by having you wrangle data for your second capstone. Submit ideas and a project proposal Submit ideas and a project proposal Review data types, build data profiles, and develop and understand your data's features Review data types, build data profiles, and develop and understand your data's features Wrangle data for your second capstone Wrangle data for your second capstone Machine learning overview Machine learning combines aspects of computer science and statistics to extract useful insights and predictions from data. In this unit, you'll begin to learn the foundations of machine learning and understand best practices and common challenges when working on machine learning applications. Explore the fundamentals of machine learning Explore the fundamentals of machine learning Gain an understanding of the taxonomy of different types of ML algorithms Gain an understanding of the taxonomy of different types of ML algorithms Develop an understanding of best practices and common challenges that data scientists deal with when working on machine learning applications Develop an understanding of best practices and common challenges that data scientists deal with when working on machine learning applications Data storytelling A data story is a powerful way to present insights to your clients, combining visualizations and text into a narrative. This final core unit will get your creative juices flowing by suggesting some interesting questions you can ask of your dataset. You’ll also execute the last stage of the DSM (Documentation) by developing a final project report. Learn how to apply presentation techniques for executive (C-suite), technical, and non-technical audiences Learn how to apply presentation techniques for executive (C-suite), technical, and non-technical audiences Prepare a presentation about a dataset of your choosing Prepare a presentation about a dataset of your choosing Give a presentation about the work you completed for your second capstone project Give a presentation about the work you completed for your second capstone project Three capstone projects You’ll work on three capstone projects to give you hands-on knowledge of how to work like a data scientist. Capstone 1 You’ll be introduced to the six steps of the Data Science Method (DSM) early on in the program, then execute each of these critical steps through guidance from your mentor. You’ll practice each step before applying your knowledge to your second capstone. Capstone 1 You’ll be introduced to the six steps of the Data Science Method (DSM) early on in the program, then execute each of these critical steps through guidance from your mentor. You’ll practice each step before applying your knowledge to your second capstone. Capstone 2 Similar to the guided capstone one, you’ll execute the steps of the DSM but with less guidance. You’ll develop a project idea and proposal, find and wrangle data, use exploratory data analysis techniques, pre-process and create a training dataset, build a working model, and then document and present your work. You’ll submit each step separately. Capstone 2 Similar to the guided capstone one, you’ll execute the steps of the DSM but with less guidance. You’ll develop a project idea and proposal, find and wrangle data, use exploratory data analysis techniques, pre-process and create a training dataset, build a working model, and then document and present your work. You’ll submit each step separately. Capstone 3 Capstone 3 runs through the steps of the DSM, but you’ll choose your project idea depending on the specialization track you’re enrolled in. Capstone 3 Capstone 3 runs through the steps of the DSM, but you’ll choose your project idea depending on the specialization track you’re enrolled in. NEW! AI learning units added to the data science 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 more powerful and a valuable asset to your employer. Build a portfolio that proves your skills to hiring managers The best way to learn data science is by working on projects. Complete 28 mini projects and 3 capstone projects . Build an interview-ready portfolio you can show future employers. While working on projects, you will: Identify a client’s business problem Identify a client’s business problem Acquire, wrangle, and explore relevant data Acquire, wrangle, and explore relevant data Use machine learning to make predictions Use machine learning to make predictions Learn to create real-world business impact through data storytelling Learn to create real-world business impact through data storytelling Past projects from Springboard students Capstone project: Building a Netflix-inspired algorithm for rock climbers Capstone project: Computer translation of ASL fingerspelling Work 1-on-1 with your data science mentor Get the training you need to learn data science. Our mentor-guided learning not only helps you build data science skills faster, but also enables career growth. Learn more about Springboard mentorship Personalized guidance to move you forward Regular video calls with an experienced data science mentor, where you can ask the questions that matter to you Personalized guidance to move you forward Regular video calls with an experienced data science 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. 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 science mentors within our community, at no extra cost. Industry insight on demand Get additional 1-on-1 help from experienced data science mentors within our community, at no extra cost. Mentor: Ryan Rosario Machine Learning Engineer Mentor: Sameera Poduri Principal Data Scientist Mentor: Eric Rynerson 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 Create a successful job search strategy Build your data science network Build your data science network Find the right job titles and companies Find the right job titles and companies Craft a data science resume and LinkedIn profile Craft a data science resume and LinkedIn profile Prepare with mock behavioral and technical interviews Prepare with mock behavioral and technical interviews Negotiate your salary Negotiate your salary A data science bootcamp with a promise Invest in yourself with confidence. If you complete all course and job search requirements on time and still don't secure a qualifying role, you may be eligible for a full post-completion refund. Terms apply . Eligibility for the Springboard Money-Back Guarantee: Bachelor’s Degree Bachelor’s Degree Successful on-time completion of all mandatory coursework, core projects and career development tasks Successful on-time completion of all mandatory coursework, core projects and career development tasks Fulfill all post-completion job search requirements — regular networking, job applications and interviewing Fulfill all post-completion job search requirements — regular networking, job applications and interviewing Learn about the Springboard Money-Back Guarantee Our data science students launch fulfilling careers Average salary increase of data science 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 science bootcamp since 2016. Here’s why people like you choose Springboard Hands down, the most valuable part of the Springboard experience was the mentorship and portfolio projects. I learned so much about data science and I felt supported whenever I ran into technical questions or projects that my team at work couldn’t help me on. From Hair Salon Receptionist To Head of Machine Learning Ops @ Featureform My mentor was AJ Sanchez. Bless this man's soul. Halfway through my first project I freaked out and I was like, "I don't even know what any of this code means." He said, "Don't worry. We'll learn. I'll teach you. That's the point of this." Hastings Reeves From Opera Singer To Business Intelligence Analyst @ Velocity Global Springboard's approach helped me get projects under my belt, build a solid foundation, and create a portfolio that I could show off to employers. From Industry Analyst To Director of Data Science @ Machine Metrics Springboard gave me the confidence to pursue this career and follow my passion. I wouldn't have gotten this job at LinkedIn if I hadn't studied at Springboard. It put me on the right trajectory which is why I am so incredibly grateful for this experience. From PR Account Executive To Data Science Apprentice Engineer @ LinkedIn Springboard helped me nail down my portfolio projects, and they provided me with a career coach who helped me nail down my answers to interview questions. My mentor helped me make my resume more impressive. Rane Najera-Wynne

From Fire Safety System Tech To Data Analyst @ BRIDGE Hands down, the most valuable part of the Springboard experience was the mentorship and portfolio projects. I learned so much about data science and I felt supported whenever I ran into technical questions or projects that my team at work couldn’t help me on. From Hair Salon Receptionist To Head of Machine Learning Ops @ Featureform My mentor was AJ Sanchez. Bless this man's soul. Halfway through my first project I freaked out and I was like, "I don't even know what any of this code means." He said, "Don't worry. We'll learn. I'll teach you. That's the point of this." Hastings Reeves From Opera Singer To Business Intelligence Analyst @ Velocity Global Springboard's approach helped me get projects under my belt, build a solid foundation, and create a portfolio that I could show off to employers. From Industry Analyst To Director of Data Science @ Machine Metrics Springboard gave me the confidence to pursue this career and follow my passion. I wouldn't have gotten this job at LinkedIn if I hadn't studied at Springboard. It put me on the right trajectory which is why I am so incredibly grateful for this experience. From PR Account Executive To Data Science Apprentice Engineer @ LinkedIn Springboard helped me nail down my portfolio projects, and they provided me with a career coach who helped me nail down my answers to interview questions. My mentor helped me make my resume more impressive. Rane Najera-Wynne From Fire Safety System Tech To Data Analyst @ BRIDGE Hands down, the most valuable part of the Springboard experience was the mentorship and portfolio projects. I learned so much about data science and I felt supported whenever I ran into technical questions or projects that my team at work couldn’t help me on. From Hair Salon Receptionist To Head of Machine Learning Ops @ Featureform We're committed to making your admissions process simple, helpful, and personalized. Whether you're experienced or just a beginner, we'll discuss all your enrollment options to support your career goals. Submit the 5-minute application form—just hit the Apply Now button on this page. It’s fast and free, plus we’ll process your application immediately. After you apply, an admissions team member will call you to discuss your background and goals, plus they will help answer your questions. We’ll send a skills survey to to test your programming language familiarity and statistics knowledge . Select a payment plan and start date via the link emailed by the admissions team. Then get ready to transform your career. Apply to the next cohort This data science bootcamp is a six-month program for students devoting 20-25 hours per week, or you can dedicate more time to land your new job faster. Every tuition option comes with Springboard's money-back guarantee. Read the full Springboard Money-Back Guarantee eligibility terms and conditions Upfront discount Pay upfront and save 29% on tuition. Total tuition before discount Paid at enrollment Only pay for the months you need. Total tuition before discount Paid at enrollment Monthly payments during course Estimated total cost (based upon 6 months) Financing with Climb Credit* Apply for a loan and pay it off in installments. $13,900 + interest Total tuition amount (upfront deposit + loan amount) Deposit (paid at enrollment) - For certain borrowers, additional deposit 21 days after cohort start date Monthly payments during course Monthly payments after course Is this bootcamp right for you? Springboard data science students come from a variety of backgrounds, but they all share a passion for solving problems , and meet the following requirements. 6 months of active coding experience with a general-purpose programming language (e.g., Python, R, Java, C++) 6 months of active coding experience with a general-purpose programming language (e.g., Python, R, Java, C++) Comfort with basic probability and descriptive statistics, including concepts like mean and median, standard deviation, distributions, and histograms Comfort with basic probability and descriptive statistics, including concepts like mean and median, standard deviation, distributions, and histograms No data science experience? Start with our Foundations to Core program Become a data scientist from scratch at no extra cost. Our Foundations to Core program is a beginner-friendly course that will help you build your knowledge of data science concepts and master Python programming before you take on the core Data Science Career Track curriculum. Your questions, answered Is this data science bootcamp 100% online? Yes. All of Springboard’s courses are 100% online. That means you can learn in your space, at your pace, day or night. And just because you are learning online, doesn’t mean you are learning alone. With Springboard, you get a team committed to your success — one-on-one expert guidance from a mentor, a career coach to support you in landing the job you want, and a student advisor to help you navigate the ins and outs of the course. Plus, you’ll build connections with other ambitious students, just like you, who will be growing alongside and helping to support you every step of the way. Why are data science bootcamps so popular? This online data science course is the quickest way to master data analytics and machine learning techniques. You will use everything you learned to kickstart your career and improve your odds of working in the field of data science after graduation. What are the prerequisites for admission? The Data Science Career Track bootcamp requires you to have: 6 months of active coding experience with a general-purpose programming language (e.g., Python, R, Java, C++) 6 months of active coding experience with a general-purpose programming language (e.g., Python, R, Java, C++) Comfort with basic probability and descriptive statistics, including concepts like mean and median, standard deviation, distributions, and histograms Comfort with basic probability and descriptive statistics, including concepts like mean and median, standard deviation, distributions, and histograms As part of the admissions process, we'll ask you to complete an online technical skills survey. See sample technical skills survey questions . If you do not meet these criteria, we’ve got you! Springboard now offers a Data Science Foundations to Core program, with no prerequisites. In this program, you’ll learn beginner to advanced Python in just 4-6 weeks. These are the skills you’ll need to demonstrate before starting the Data Science Career Track. There is no extra cost for this program. How does the admission process work? Step 1: Submit your application Set aside 10-15 minutes to complete your application, which contains questions related to your background and professional goals. The application is free, and we will process it immediately. Step 2: Talk to admissions After you submit your application, our admissions team will follow up with a phone call to review your application and answer any questions you have. Step 3: Take the technical skills survey Next, we’ll send a skills survey to figure out what you already know, so you’re set up for success from the beginning. If you’re new to the field, don’t worry — we’ve got a plan for everyone. Step 4: Reserve your spot When you pass the survey, we will send you a registration link. Choose the start date and payment plan that works for you! Then get ready to transform your career. Please note that spots in Springboard bootcamps are limited, and we accept candidates on a rolling basis. What is the difference between the Data Science, Data Analytics, and ML Engineering Career Tracks? The Data Science Career Track will train you for data science or technical data analyst roles where you will build machine learning models to predict business outcomes. The Data Analytics Career Track will train you for data analyst roles where you will crunch numbers and generate visualizations using tools like Excel, SQL, and Tableau. The Machine Learning Engineering Career Track will train you for machine learning engineer roles, where you will take a machine learning model and deploy it into production. How long does the course take to complete? Through this data science course, you can graduate as a data science professional in as little as 6 months by working approximately 20-25 hours a week. If you are highly proficient in Python and statistics, are ready to devote more time per week to completing the curriculum materials, and are driven and disciplined with managing your study schedule, you could complete the program in less time. We’ve built the curriculum to get you there, just put in the work, and you’ll build the skills you need and the ones hiring managers are looking for. What is included in my tuition? We not only provide content to help you get a data science job quickly, we also want you to have more impact in the role that you land. Your tuition includes: 500-600 hour curriculum of technical and career materials curated by industry experts 500-600 hour curriculum of technical and career materials curated by industry experts Regular 1-1 video calls with your personal mentor Regular 1-1 video calls with your personal mentor Access to an exclusive community of mentors, career coaches, and peers 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 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 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 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) Lots of interview practice via 1-on-1 mock interviews (behavioral and technical) Exclusive access to an employer network Exclusive access to an employer network The Springboard Job Guarantee —Land a job or get a full refund. Terms apply . The Springboard Job Guarantee —Land a job or get a full refund. Terms apply . All taxes and fees All taxes and fees What kind of support can I expect? At Springboard, we believe connections and ongoing support strengthen you, lift you up, and prepare you for success in your new career. Throughout the program, you’ll be surrounded by support from: Your mentor: A data science expert who will provide regular 1-on-1 guidance and accountability in 30-minute video calls at a time that works for your busy schedule Your mentor: A data science expert who will provide regular 1-on-1 guidance and accountability in 30-minute video calls at a time that works for your busy schedule Teaching assistants : Dedicated help when you’re stuck, and detailed feedback on each project Teaching assistants : Dedicated help when you’re stuck, and detailed feedback on each project Your career coach: Help with resume reviews, mock interviews, job search strategy and more Your career coach: Help with resume reviews, mock interviews, job search strategy and more Student advisor: There to answer questions, discuss goals, and provide tips and support on any aspect of the program Student advisor: There to answer questions, discuss goals, and provide tips and support on any aspect of the program And finally, your classmates : Form study groups, get feedback, and work on projects together! And finally, your classmates : Form study groups, get feedback, and work on projects together! What is the Springboard Money-back Guarantee and are there eligibility requirements for it? We believe in our program. We believe in you. Which is why we offer the Springboard Money-back Guarantee. There are conditions that graduates must meet in order to be eligible for the Springboard Money-back Guarantee. We are transparent about these, because we want you to be a success.We have your back and ask for an equal commitment from you. In order to be eligible for the Springboard Money-back Guarantee, you must: be 18 years or older 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 hold a Bachelor’s degree from any educational institution in any subject, which is still a requirement by most employers for these roles be proficient in spoken and written English, as determined by initial interactions with our Admissions team 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 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 be able to pass any background checks associated with jobs that you apply for 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 apply to positions, dedicate sufficient time and effort, and follow the job search process recommended to you by our career coaches If you enroll but do not qualify for the money-back guarantee, you will still receive access to the full course curriculum, including career modules and 1:1 career coaching. Read the full terms of the money-back guarantee or contact our admissions team at hello@springboard.com or call +1- 415-966-2533 . How do the tuition payments work? There are several payment options (all of which come with the Springboard Job Guarantee as long as you meet eligibility requirements ), so you can fund your future however suits you best. Discounted upfront payment: You pay $10,900 upfront Discounted upfront payment: You pay $10,900 upfront Month-to-month: You pay $2,150 per month while you are enrolled in the program. If you take 6 months to graduate, your total payment is $12,900. If you graduate sooner, you pay less! Month-to-month: You pay $2,150 per month while you are enrolled in the program. If you take 6 months to graduate, your total payment is $12,900. If you graduate sooner, you pay less! In addition, we have two other payment options — deferred tuition and a financed tuition loan . Learn more in the Tuition section on this page or contact our admissions team at hello@springboard.com or call +1- 415-966-2533 . I need help with payments. Do you offer financing? Yes, you can finance your tuition with a loan. If approved, you can start by paying as little as $69 - $214 per month. Learn about the application process on Climb Credit's website . Only available for U.S. residents. We also have a deferred tuition payment plan. With this payment plan, you can pay an initial upfront deposit ($700) and then not pay anything else until you start a job. After starting a new job, you will make monthly payments of $466 - $612 over 36 months. Only available for U.S. citizens/permanent residents. Will I earn a certificate? Yes! Once you successfully complete the course and all the projects, you will receive a signed certificate of completion. Thousands of Springboard graduates have used their data science certificate to demonstrate their skills to potential employers and to their LinkedIn network. In fact, we have an integration with LinkedIn, so you can display a verified certificate on your profile. I’ve heard you offer scholarships. ‍Where do I apply? Increasing diversity in tech is important to us. And it begins with access. That’s why we help students from underrepresented backgrounds, as well as those without the means to pay, through scholarships. You can apply directly for our scholarships via the main application for this course. In the application, if you express interest in our scholarship program, you will be prompted with a few additional questions to gauge your eligibility. Our scholarships are open to: People of color People of color LGBTQ+ individuals LGBTQ+ individuals Anyone without the means to afford a bootcamp Anyone without the means to afford a bootcamp Learn more about our scholarships . Are data science bootcamps worth it? Absolutely. Data science bootcamps offer a comprehensive and efficient way to learn the skills you need to become a data scientist. According to the Bureau of Labor Statistics , data science employment opportunities are expected to grow by 35.8% by 2031, much faster than the national average. By completing a data science bootcamp, you'll be equipped with the necessary skills and knowledge to pursue these lucrative opportunities. At Springboard, 90.6% of job-qualified individuals in our Data Science Career Track bootcamp received a job offer within 12 months of graduation. The average salary increase of students who provided pre- and post-course salaries is $25,911. Can you become a data scientist with just a bootcamp? Yes, you can. While a traditional four-year degree in data science or a related field can be helpful, it is not a prerequisite for becoming a data scientist. Many successful data scientists have gained the necessary skills and knowledge through bootcamps and other intensive programs. In fact, according to a survey by Kaggle, around 30% of data scientists in the industry today have a degree in a non-computing field . How much coding is required in data science? Coding is an essential component of data science. However, the amount of coding required can vary depending on the specific job or project. In Springboard's data science bootcamp, you'll learn to code in Python, one of the most popular programming languages used in data science. You'll also gain hands-on experience working with real-world datasets and building machine learning models, all of which require coding skills. How long does it take to learn data science? The time it takes to learn data science depends on several factors, including your prior experience with coding and statistics, as well as the intensity and duration of your training. In Springboard's data science bootcamp, you can complete the program in as little as six months if you dedicate approximately 20-25 hours a week to studying. However, our flexible program allows you to complete the curriculum faster if you can dedicate more time. What is a data science bootcamp? A data science bootcamp is an intensive training program that provides students with the skills and knowledge they need to become data scientists. In Springboard's data science bootcamp, you'll learn essential data science concepts such as statistical analysis, machine learning, and data visualization. Over six months, you’ll learn the core skills needed to succeed as a data scientist by exploring and working through the six steps of the data science method. Three capstone projects, hands-on projects, practice with popular data science tools, and specialization tracks reinforce your learning and help you build a powerful portfolio. Don’t see your question here? Contact us! Our admissions team is ready to answer any question and can help you decide if this bootcamp is right for you. Reach out at hello@springboard.com or call +1 415-966-2533 . View more questions Ready to become a data scientist? Apply now Spots are limited, and we accept qualified applicants on a first-come, first-served basis. Start your application. It takes just 5 minutes to complete.