We all know that careers in technology and information are subject to drastic fluctuations in demand due to their fluid and flexible nature. However, jobs in data science—and especially in data analytics—are seeing steady growth.

IBM was correct in their prediction that the demand for data scientists would increase by 28% in 2020 alone. But that’s not the only upward trend in the industry. The U.S. Bureau of Labor Statistics now considers data science and analytics to be in the top 20 fastest growing positions. They even estimate an increase in demand of over 30% over the next ten years.

At Springboard, we recognize the importance of bridging this current skills gap. That’s why we’re launching a new, four-week course—Introduction to Data Analytics—that teaches the fundamentals of data analytics to anyone curious about this fast-growing field.

Junior data analysts can expect to make an average annual salary of $52,000. As a mid-level data analyst, at around the five-year mark, the national salary average rises to $74K for data professionals. But that’s not the end of the financial road for analysts. ZipRecruiter estimates that approximately 53% of senior data analysts make six figures a year.

Is Springboard’s Introduction to Data Analytics right for me?

This 4-week course is for young professionals, career switchers, and career advancers who want to decide if data analytics and Springboard are right for them.

It requires no previous experience as we introduce you to fundamental concepts and skills for a career in data analytics. Your personal mentor will guide you through the curriculum as well as a hands-on project and technical skills survey to complete the course.

If you feel data analytics is right for you, you’ll be eligible for the Data Analytics Career Track with your Introduction course tuition applied. A Springboard career coach will also talk you through the job opportunities ahead in your new career!

Courses start every Monday.

What will Introduction to Data Analytics cover?

Springboard programs are designed to help you get where you want to go. That means our programs are designed for the real world, with online classes to fit your schedule and an industry expert who mentors you through every step.

The Introduction to Data Analytics course will cover:

  • How data analysis and data science work together and separately 
  • Problem solving frameworks and structured thinking foundations used by analysts
  • Building your Excel skills using key functions to analyze a dataset
  • How to effectively communicate your findings to different teams using Powerpoint
  • Applying each step above to a real case study for your portfolio

Drilling down, here’s what a snapshot of the curriculum looks like:

The basics of data analytics

  • 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

Structured thinking foundations

  • 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 trees

Building your Excel foundation

  • 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

What can I expect to get out of Introduction to Data Analytics?

As with all Springboard courses, Introduction to Data Analytics will be a 100% online and self-paced learning experience. As a student, you’ll also benefit from one of Springboard’s most sought-after features: a community of support that includes a dedicated student advisor, a career coach, a course community manager, and an expert mentor in the field matched specifically for your goals and needs.

Here’s what else you can expect from the course:

  • Mentorship and advice. Once you enroll, you’ll be asked to fill out a profile. You’ll answer questions about your background, your availability during the week, and the skills you want to develop. Your student advisor will use this information to match you with an industry mentor who suits your specific needs. You will receive 4 weekly sessions with your personal mentor of 30 minutes.
  • A hands-on curriculum curated by experts. We believe that diverse perspectives lead to better learning outcomes. Our online curriculum is packed with quality resources, some are handpicked from around the web by industry experts and others are created by Springboard.
  • Springboard support team. This includes a student advisor, mentor, student operations support, community manager, and career coach consultation.
  • Access to the Springboard student community. While online learning sounds isolating, it’s important to remember that you have a whole community learning alongside you. You’ll get access to this community so you can share triumphs and trials, get feedback, and attend weekly live Office Hours and a dedicated Slack channel.
  • A path forward. After successful completion of the course, you will eligible for the Data Analytics Career Track. The money you paid for the Introduction to Data Analytics course can go toward your tuition.

Do I need to know anything else before I sign up?

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.

How much does it cost?

Introduction to Data Analytics will cost $349. This can be applied to Data Analytics Career Track tuition if students decide to enroll after completing the introductory course.

The first course begins on September 20. Click here to register.