No prerequisites • Remote • Job guarantee
Data Analytics Course: Foundations to Core. Go from Beginner to Data Analyst. Job Guaranteed.
Become a data analyst in 7 months with no prior experience. Learn on your schedule and land a job with 1-on-1 support at every step. If you don't land a job, you'll get a full refund.
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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.
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 7 months or you can dedicate more time to finish faster.
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 4 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
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
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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
Data analytics bootcamp start dates
The Data Analytics Foundations to Core program is a 7-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
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.
Frequently asked questions
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.
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.
The course includes a 400 hour core career track curriculum plus 40 hours of foundational units. Students are expected to graduate in 7 months working 15-20 hours per week, however you may choose to dedicate more time and complete sooner.
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.