Introduction to Data Analytics
13

Wednesday, 13 December

6 9 pm MST

GA Denver @ Industry RiNo Station

3858 Walnut St
Denver, CO 80205
$25 USD
Regular Ticket
$25 USD
Total

Questions? Read our FAQs

Introduction to Data Analytics


Director, Business Intelligence, Colorado Access

13

Wednesday, 13 December

6 9 pm MST

GA Denver @ Industry RiNo Station

3858 Walnut St
Denver, CO 80205
$25 USD
Regular Ticket
$25 USD
Total

Questions? Read our FAQs

About This Class

Data drives decisions; are you part of the conversation around data?

Regardless of your industry or role, fluency in the language of data analytics will allow you to contribute to data driven decision making. This workshop will put you in the driver’s seat to understand, analyze, and interpret data so you too can join the data conversation.

In this hands-on introductory workshop, you’ll learn to ask the right questions of your data, while learning basic analytic functionality in Google Sheets. Your newfound data analytic skills will be applied to real-world datasets, allowing you to develop recommendations based on your findings.

Chart your own career path. Pick up where this workshop leaves off. Learn the fundamentals of data tools like Excel, SQL, and Tableau in 10 weeks in our part-time, on-campus Data Analytics course or online in our mentor-driven Data Analysis Circuit. Step into the world of data analytics with General Assembly. During our introductory workshop, you’ll join the data conversation and see how analytics drives decision making across industries. Learn to understand, analyze, and interpret data as you:

  • Walk through the fundamentals of data analysis.
  • Understand how data analysts translate their findings into succinct, actionable business insights
  • Perform an exploratory analysis using real-world data.

Chart your own career path. Pick up where this workshop leaves off. Learn the fundamentals of data tools like Excel, SQL, and Tableau in 10 weeks in our part-time, on-campus Data Analytics course or online in our mentor-driven Data Analysis Circuit.

Takeaways

  • Learn more about GA's Data Analytics programs.
  • Explain the relevance of data analysis across industries and job functions.
  • Evaluate the quality and structure of a dataset.
  • Use Google Sheets to perform descriptive and exploratory analysis on datasets.

  • Use data to provide concise business insights.

Prereqs & Preparation

Students should be familiar with the basic functions of their computer, but no previous experience in data analysis or Google Sheets is required.

A laptop is required for this workshop. Access to Google Sheets. (If you do not have access, create a Google account.)

About the Instructor

Director, Business Intelligence,
Colorado Access

David Napoli has worked with healthcare-related data for 17 years as an analyst, actuary, statistician, research manager, and director. His experience includes evaluation and outcomes studies, ROI analysis, IBNR determination, predictive modeling, risk adjustment methodologies, advanced data visualization, dashboard design and implementation, database development and management, and identifying and evaluating trends and forces in data. David has extensive experience working with claims data, including for Medicaid, Medicare, and Commercial lines of business. He recently held positions of Director of Performance Improvement & Strategic Analytics for a co-op healthcare insurance company and Director of Planning & Analytics for a community health program. David’s educational background includes Bachelor’s and Master’s degrees in aeronautical engineering (yes – he was a rocket scientist), and early in his career he realized he desired to concentrate his professional efforts in an industry focused on helping people more than his fondness for space exploration. He also recently completed coursework towards his doctorate in Health Services Research with a focus on Biostatistics at the University of Colorado School of Public Health (All but Dissertation).

Refund Policy

We understand that, sometimes, plans change. If you can no longer make it to a class or workshop, please email us at least 7 days before the scheduled event date. No refunds will be given to cancellations made within a week of the class or workshop.

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