Meet Our Expert: Michael Larner, Data Analytics Instructor, GA Los Angeles
Learn In-Demand Skills in Our Data Analysis Courses and Bootcamps in Singapore
Read "A Beginner's Guide to Visualizations With D3.js" by Matt Huntington.
Dashboards organise 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 organisation.
Gus Lopez, Data Analytics instructor at General Assembly Melbourne, says, “All around the globe, people are constantly tweeting, Googling, booking airline tickets, and banking online, among hundreds of other everyday internet activities. Each of these actions creates pieces of data — and all of these have to live somewhere. That’s where databases — put simply, a collection of data — come in.
“In GA’s part-time on-campus Data Analytics course or online Data Analysis program, students learn the fundamentals of data analysis and leverage data tools like Excel, PostgreSQL, pgAdmin, SQL, and Tableau. In our part-time Data Science course, students discover different types of databases, learn how to pull data from them, and more, and in the career-changing Data Science Immersive, they gather, store, and organize data with SQL, Git, and UNIX, while learning the skills to launch a career in data.”
Read “A Beginner’s Guide to Databases” by Gus Lopez.
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.
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.
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."
Learn to tell compelling stories through data with Tableau. The industry-leading software lets you analyse data sets and communicate impactful insights to any audience — from peers to stakeholders — using interactive visualisations and real-time dashboards.