About this data analytics course
How data analysis and data science work together and separately Problem-solving frameworks and structured thinking foundations used by analystsBuild your Excel skills using key functions to analyze a datasetHow to effectively communicate your findings to different teams using PowerPoint
Learning with Springboard
Personal mentorship
Career coaching
Learn by doing
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.
- 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
Accountability and goal setting
Advice from current professionals
Swipe to see more mentors
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.
Prerequisites
No data analytics experience is required to take this course Computer access and internet connectionMicrosoft 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 moreTuition
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.
Lifetime access to the curriculum including 40 hours of curated contentFour 30-minute weekly sessions with your personal mentor Dedicated student advisor, student operations support, teaching assistant, and career coach consultationConnect with other students via Slack and weekly office hoursAfter successful completion, you will be eligible for the Data Analytics Career Track with your tuition applied from this courseFrequently asked questions
The intro course has student cohorts starting each Monday. Simply click “Enroll Now” and select the cohort that best works for you.
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.
No prior data experience is required. All you need is a computer, internet connection, and Microsoft Excel.
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.