The ability to tell stories with data empowers you to impact business growth. Influence marketing forecasts and shape product launches. Through Excel, data visualization, and SQL training, our data analysis courses in Denver can get you started on this in-demand career path.

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Propel Businesses Forward: Learn Data Analysis in Denver

Part-Time Courses


Enhance your professional potential. Learn in-demand skills in evening, weekend, or 1-week accelerated courses.


Meet Our Expert: Michael Larner, Data Analytics Instructor, GA Los Angeles

Michael Larner

What’s an example of what data analytics can and should accomplish in real life?


GA instructor Michael Larner says, "Data analytics is all about learning how to access, manipulate, and ultimately use the data that’s available in the world. Central to this is developing the ability to think critically about information in order to turn it into actionable and impactful insights. A marketer could use the skills they learned in the Data Analytics course to compare the performance of all of their marketing initiatives and allocate resources to those performing best. Alternatively, an executive could use these skills to compare the resources and performance of different teams within their organization to determine which are operating efficiently."

Learn In-Demand Skills in Our Data Analysis Courses and Bootcamps in Denver

D3 Visualizations

Matt Huntington, GA Web Development Immersive Remote instructor, says, “In 2012, The New York Times published a series of online articles with beautiful, interactive, data-driven graphics to illustrate changes in voter behavior over time and the candidates’ paths to winning the presidential election. Created using a JavaScript library called D3 (for Data-Driven Documents), these data visualizations caused a lot of excitement among developers. They saw that D3 was more than just another JavaScript library. It was the final link in a series of technological advancements that led to these kinds of graphic possibilities.

“D3 is an incredibly easy library to use. Because of this, in GA’s full-time Web Development Immersive (WDI) program, on campus and remotely, we often reserve it as an optional topic at the end of the course. WDI focuses on the fundamentals of programming, from front-end essentials like JavaScript, through back-end skills like Ruby on Rails and APIs. After having a thorough understanding of these competencies, learning D3 will come easily.”

Read "A Beginner's Guide to Visualizations With D3.js" by Matt Huntington.

Dashboard

Dashboards organize and display live visual updates of metrics and key performance indicators (KPIs), giving businesses valuable insights in real time. By knowing how to create dashboards, you can bring informative, immediate, and impactful visuals to any data-driven organization.

Excel

Mathu A. Kumarasamy, Data Analytics instructor at GA Atlanta, says, “In today’s digital age, it may seem like there are new analytical tools and software packages coming out every day. As a result, many roles in data analytics today require an understanding of how to leverage and continuously learn multiple tools and packages across various platforms. Thankfully, learning Excel and its fundamentals will provide a strong bedrock of knowledge that you’ll find yourself frequently referring back to when learning newer, more sophisticated programs.

“In GA’s part-time Data Analytics course and online Data Analysis course, Excel is the starting point for leveraging other analytical tools such as SQL and Tableau. Throughout the course, you’ll continually have 'data déjà vu' as you tell yourself, 'Oh this looks familiar.' Students will understand why Excel is considered a jack-of-all-trades by providing a great foundation in database management, statistics, and dashboard creation.”

Read “A Beginner’s Guide to Excel” by Mathu A. Kumarasamy.

Ridgeline Plots

Josh Yazman, Data Analytics instructor at GA Washington, D.C., says, “Ridgeline plots, which are essentially a series of density plots (or smoothed-out histograms), can help balance the need to communicate risk without overemphasizing error in situations where error bars only slightly overlap.Instead of showing an error bar, which is the same size from top to bottom, a ridgeline plot gets fatter to represent more likely values and thinner to represent less likely values. This way, a small amount of overlap doesn’t signal lack of statistical significance quite as loudly. Decision-makers need to understand this error to make the most of survey results, so it's important for data scientists and analysts to communicate confidence intervals when visualizing estimated results.

“In General Assembly’s full-time, career-changing Data Science Immersive program and part-time Data Science course, students learn about sampling, calculating confidence intervals, and using data visualizations to help make actionable decisions with data. Students can also learn about the programming language R and other key data skills through expert-led workshops and exclusive industry events across GA’s campuses.”

Read “A Beginner’s Guide to Ridgeline Plots” by Josh Yazman.

SQL

Michael Larner, a Data Analytics instructor at General Assembly Los Angeles, says, "Put simply, SQL is the language of data — it’s a programming language that enables us to efficiently create, alter, request, and aggregate data from those mysterious things called databases. It gives us the ability to make connections between different pieces of information, even when we’re dealing with huge data sets. Modern applications are able to use SQL to deliver really valuable pieces of information that would otherwise be difficult for humans to keep track of independently. In fact, pretty much every app that stores any sort of information uses a database. This ubiquity means that developers use SQL to log, record, alter, and present data within the application, while analysts use SQL to interrogate that same data set in order to find deeper insights.

"At General Assembly, we know businesses are striving to transform their data from raw facts into actionable insights. To accomplish this, we give students the opportunity to use SQL to explore real-world data such as Firefox usage statistics, Iowa liquor sales, or Zillow’s real estate prices. Our full-time Data Science Immersive and part-time Data Analytics courses help students build the analytical skills needed to turn the results of those queries into clear and effective business recommendations. On a more introductory level, after just a couple of hours of in one of our SQL workshops, students are able to query multiple data sets with millions of rows."

Read “A Beginner’s Guide to SQL" by Michael Larner.

Tableau

Learn to tell compelling stories through data with Tableau. The industry-leading software lets you analyze data sets and communicate impactful insights to any audience — from peers to stakeholders — using interactive visualizations and real-time dashboards.

Break into Denver's data analysis industry.

Enrich your career with in-demand data analysis skills. Choose to learn in our intensive 1-week format, or level up in 10 weeks.