FIU Data Science Bootcamp Application Deadline is Oct. 3 - Apply Now

Corporate Training For Non-Technical Employees: Data Analysis Using Spreadsheets

By Carlos Russo • March 04, 2021

As a business leader, in order to realize your most important strategic initiatives, you (and by extension, your employees) need to embrace modern data techniques. Our Corporate Training courses are designed and delivered by experienced Senior Data Scientists to help you achieve that embrace, guiding you toward company-wide data skills-building for everyone on your team, including non-technical team members.  

Our latest addition to the growing course catalog is Data Analysis Using Spreadsheets, a course designed for non-technical teams, with no prerequisites required. The 3-hour live online course reinforces your company’s data-driven culture by teaching your non-technical employees how to review and organize data with spreadsheet applications. During the course, students practice cleaning, exploring, analyzing, and visualizing data using spreadsheet tools like Google Sheets and Excel. And at the end, we explore practical applications of our data in real-world scenarios so the skills learned are ready for immediate implementation.

Metis Data Scientist Kevin Birnbaum developed the course and teaches it live online. Here's what he has to say about how the course empowers non-technical employees while also freeing up data science teams. 

"Too often, people seem to associate all data analytics with the data science role. What this means is that when a non-technical employee wants a pivot table made, or a simple chart created, they turn to the data scientist to create it for them," said Birnbaum. "This drains the time of the data scientist and cannibalizes time that can be used to build advanced tools that require their more advanced skill set. Also, data scientists often don't have the domain expertise to ask the right questions of the data, so no matter how technically savvy the data science team is, the solution still may fall short. So getting non-technical employees to take this course gives them the tools to make strong data-driven decisions while also freeing up time for the data scientists to work on more advanced topics."

But it's not just about freeing up time and space for data scientists. This course also provides agency and freedom to non-technical teams.

"For the non-technical side, whether it be sales, marketing, etc. If you want to push for any initiative or prove your successes or failures, you will need facts to back them up. Those facts will be somewhere hidden in your data. Without the skill set of working in spreadsheets, you are incredibly limited in your ability to tell data-driven (fact-driven) stories. You end up essentially boxed in by reports that are made available to you (or the time constraints of available data analysts). With spreadsheets, you can take the power into your own hands and quickly discover the true narrative of your company data," he said. 

Learn more about the Data Analysis Using Spreadsheets course here.


Check out the full slate of our Corporate Training courses here to consider which ones will best serve the needs of your organization and teams. 

Similar Posts

business resource
How to Build a Data Science Portfolio: The 5 Phases

By Carlos Russo • April 22, 2021

Effective corporate data science portfolios rely on a solid foundation built by identifying challenges, pitching ideas, scoping out pitches, and planning out paths that evolve into strategy success.

business resource
VIDEO: Recorded Talk - How Machine Learning is Changing Finance with Javed Ahmed

By Carlos Russo • August 20, 2020

Watch a recording of Metis Sr. Data Scientist Javed Ahmed's talk on How Machine Learning is Changing Finance at the new Wake Forest University Financial Services and Fintech Hub.

business resource
Expand Your Data Science Toolkit with Data Engineering

By Carlos Russo • April 16, 2021

Big data is growing exponentially. To keep up with it, data engineering — a discipline focused on collecting, funneling, and organizing big data into accessible data pipelines — is in urgent demand. Data scientists and other data professionals can fill the gap by extending their capabilities into the world of data engineering with the Data Engineering for Data Scientists Course by Metis Corporate Training. In this course, data science professionals will learn advanced programming, database management, distributed computing, and cloud engineering.