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including original cases and exercises
Our students love us!
Data informs every element of modern business. Top business analysts employ a structured approach to solve any business problem - state hypotheses, seek relevant data, run analyses and build models to test the hypotheses, and present a recommendation.
Learn to think like a business analyst and apply a hypothesis-driven approach to any business analysis problem
Make data-driven decisions in any business context
Employ frameworks to structure your analysis and use tools to dive into the data
Excel in most business analyst and data analyst roles
You'll join an engaged, global community, and network with analytics experts.
in different domains from marketing to forecasting, and sharpen your skills in Excel, SQL and Tableau with 1:1 mentorship from an expert
Each week, you get 45 min of 1-on-1 time with your personal mentor, an expert data scientist.
Interact with classmates and alumni in our private community. Attend weekly office hours for career advice.
My mentor guided me without giving me the answers directly. The actual human connection through our weekly video calls really propelled me forward. Springboard fit my needs to a T.
Lynell works at
My experience with Springboard's course was very valuable as it provided a framework that helps me think of data analysis and insights more deeply - and apply the tools and techniques I learned to my job.
Sonia works at
The case studies pushed me to think like a business decision maker. Enrolling in Springboard was one of the best decisions of my career, and it was key in my transition to the analytics domain.
Santosh works at
With your weekly mentor call, you’ll get to
Your mentor has years of experience and will share valuable industry insights.
Discuss deliverables, topics you are interested in, or career steps.
Our students love being inspired and motivated by their mentors.
Our world-class mentors are hand-picked for their experience and love of teaching.
Senior Product Manager
A step-by-step walkthrough - this is how we designed this course to get you job ready with in-demand business analytics skills
First, we did some good-old data crunching
We analyzed over 50,000 data analyst and business analyst job postings across the web to identify the most common keywords and in-demand skills and tools.
Next, we interviewed 15 hiring managers
We spoke with Directors and VPs of Analytics at eBay, Facebook, Credit Karma, Amazon and more -- about the tools they use and what they look for in top candidates.
Finally, we worked with experts to build case studies
Our curriculum is based on the most in-demand skills and tools, and common interview problems. It was built by a team of analytics experts and instructional designers for maximum effectiveness.
For years, top consulting firms (like McKinsey, BCG and Bain & Company) and business schools have used case studies to train leaders at the world’s best companies. Harvard Business School, a pioneer of this form of instruction, calls the case method “a profound educational innovation that places the student in the role of the decision maker.”
Early in my career, I benefited from the case based approach. I found that picturing myself as the protagonist of a case ensured that I retained its learnings years after I first encountered them.
With this course, I want you to build the analytical muscle that will let you solve any business problem using a structured, hypothesis-driven approach. The case study method will help you achieve that goal, by getting your hands dirty while you refine your approach with your mentor. Some of our graduates have even cited Springboard case studies in job interviews.
We hope you enjoy working through the cases as much as we enjoyed creating them!
You'll learn to apply analytical tools and frameworks in the context of 5 real-life business case studies. This case-based method is inspired from top business schools.
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We’re not going to pretend that this course is easy. This is a serious commitment with real rewards.
The good news? We’ve helped thousands of recent grads, junior analysts, and business operators advance their career in Data Analytics.
You commit to put in the hard work and time. We are committed to supporting you at every step and helping you succeed.
Or choose a 3-month payment plan at $550/month
Did you know that your employer might cover your course fees? Want materials to share with your manager or HR? Send us a note at firstname.lastname@example.org.
This 12-week course lets you learn online, from anywhere, on your own schedule. If you don't love it in the first week, we’ll give you a full refund. The $1499 course fee covers:
1. All curriculum materials and resources used in the course.
2. Weekly 1-1 video calls with your personal mentor.
3. Access to an exclusive community of expert mentors and fellow students.
4. Weekly Office Hours hosted by industry professionals.
5. All taxes and fees.
The total estimated workload is 100+ hours spread over 12 weeks.
We work with industry experts to create the best curriculum on business analytics, comprising of in-house and curated resources. We follow a case-based teaching method where you solve five case-studies simulating real-life problems you are likely to encounter on the job.
You’ll interact 1-on-1 with your personal mentor every week in a 45-minute video call. Your mentor will help with technical and career guidance. They’ll also keep you accountable and help ensure that you actually complete the course. Additionally, you’ll have access to weekly Office Hours and to an exclusive community of mentors and fellow learners. You can ask questions and receive project feedback through the mentor calls, Office Hours or the community.
We will provide certificates of completion to all the participants who complete the course and successfully complete all the case-studies.
The course is completely online. All you need is an internet connection.
A good mathematical aptitude is very helpful. You will need a computer with an Internet connection and Microsoft Excel 2010 or a later license.
Absolutely! Many of our students have been sponsored by their employers. Most companies are very happy to invest in their employees' learning and development. Check with your employer if they can support your subscription fee from the annual learning budget given to each employee.