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Introduction to Data Analytics Course

Learn data analytics fundamentals by working on a hands-on project guided by your industry mentor.

About this data analytics course

This four-week course requires no experience as we introduce you to fundamental concepts and skills for a career in data analytics. Your mentor will guide you through the curriculum, a hands-on project, and technical skills survey. A career coach will also talk you through potential career paths in the field. If you want to progress to our Data Analytics Career Track, the $349 for this course will be applied to reduce the cost for that program.
What you’ll learn
How data analysis and data science work together and separately
Problem-solving frameworks and structured thinking foundations used by analysts
Build your Excel skills using key functions to analyze a dataset
How to effectively communicate your findings to different teams using PowerPoint

Learning with Springboard

Personal mentorship

Weekly 1-on-1 calls with a mentor working in the industry for a minimum of 3-4 years.

Career coaching

Understand your career options, potential pathways and what hiring managers are looking for with an optional call.

Learn by doing

Hands-on projects to apply your new skills and determine if data analytics is right for you.

What you'll learn

As part of each unit below, you will apply your learnings to a hands-on project that should be completed prior to your technical skills survey.

Getting Started
The basics of data analytics
Structured Thinking Foundations
Build your Excel Foundation
Presentation Fundamentals in Analytics
Technical Skills Survey
  • Welcome to the course
  • Curriculum logistics
  • Your Springboard support team and the role of each
  • Setting some ground rules
  • The difference between data science and data analytics
  • Various roles and responsibilities of a Data Analyst
  • How data analysis can be used to solve real-world problems
  • The tools used in data analysis
  • How data analysis is used in data-driven decision making
  • HDEIP Framework
  • Build out an issue tree with at least 3 levels
  • Opposite Words Technique
  • Value driver tree
  • Analyze a dataset filled with numerical and categorical data
  • Aggregate functions: SUM(), AVG(), IF()
  • Boolean Logic and Statement Clauses
  • Pivot tables
  • Visualizing data with Excel
  • Communicating data insights
  • Techniques for specific audiences: Executive, Technical, Non-Technical
  • Powerpoint visualization techniques
  • Powerpoint template provided
  • 30 minutes
  • Grants eligibility for Career Track if the student chooses

Request a detailed syllabus


Weekly 1-on-1 calls with your mentor

Personalized support

You’ll be matched with a mentor that aligns with your interests, learning style, and your schedule.

Accountability and goal setting

You set the agenda for your 30-minute calls each week, whether it’s the curriculum, a project, or career goals.

Advice from current professionals

Springboard accepts only 10% of mentor applications. All those accepted have a minimum of 3-4 years of experience in their industry.
"They have top notch mentors that are experts in their field...and the project helped me solve a real world problem."
Khaled Jafar
Director Business Transformation Analytics at Dell
Ryan George
Data Analyst
Leslie Chen
Business Associate
Venkatraman Prabhu
Sr. Product Manager
Chris Hui
Senior Data Scientist

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See more mentors

Is this program right for me?

If you’re interested but inexperienced in data analytics or looking to refresh your skills before further study, this data analytics course is for you.


No data analytics experience is required to take this course
Computer access and internet connection
Microsoft Excel. If you do not have access, Springboard can reimburse you for a license during the course or a specified period. Your student advisor can assist after enrollment
Do you have existing data skills?

You may be eligible to begin our Data Analytics Career Track with a job guarantee!

Learn more


If you choose to progress to our Data Analytics Career Track, the fee for this course will be applied directly to the tuition fee, reducing the cost for that program.

One time payment


This data analytics course has a four-week structure but you can complete it at your own pace.

What's included:
Lifetime access to the curriculum including 40 hours of curated content
Four 30-minute weekly sessions with your personal mentor
Dedicated student advisor, student operations support, teaching assistant, and career coach consultation
Connect with other students via Slack and weekly office hours
After successful completion, you will be eligible for the Data Analytics Career Track with your tuition applied from this course

Frequently asked questions

When can I start the intro course?

The intro course has student cohorts starting each Monday. Simply click “Enroll Now” and select the cohort that best works for you.

How long is the data analytics course?

The total estimated workload is 40 hours. It’s expected to be completed in four weeks at 10-15 hours per week. However, you may complete the course faster or need more time — no problem! Students have lifetime access to the course. You will be limited to four mentor calls but can work on the course at your own pace.

Are there any prerequisites for this course?

No prior data experience is required. All you need is a computer, internet connection, and Microsoft Excel.

Will I have to pay for Microsoft Excel in addition to paying tuition for the course?

We strongly advise students to work in Microsoft Excel. If you do not currently have access, Springboard can reimburse you for a license during the course or a specified period of time. Your student advisor will be able to provide specific details after enrollment.