Data Analytics Boot Camp

For more information, go to the UNC Charlotte Employer Solutions website or browse the Employer Solutions Online Catalog.

Blended
In Person: The Dubois Center
On-site at Organization
Online

Program Tabs

Program

Over the course of the past decade, the explosion of data has transformed nearly every industry known to man. Whether it's in marketing, healthcare, government, or activism -- the ability to translate data into insights has quickly become a highly in-demand skill by all. The Data Analytics Boot Camp at UNC Charlotte will empower participants to gain the knowledge and skills to conduct robust analytics on a host of real-world problems. No matter how advanced Big Data Analytics jobs get, human insights will always be in demand. And as more companies look for experts to understand data and offer effective solutions, the demand for Data Analytics professionals will continue to increase for years to come. In fact, an estimated 2.7 million job postings for Data Analytics and Science are predicted in the United States by 2020. This program is rigorous, fast-paced, and focused on the practical technical skills needed to solve data problems. Throughout the program, participants will gain proficiencies on a host of marketable technologies like Excel, Python, JavaScript, SQL Databases, Tableau, and more. Plus, participants will have an impressive Professional Portfolio and the confidence they need to succeed in the data-driven economy.

What Participants Will Learn
  • Employ statistical analysis to model, predict, and forecast trends
  • Build VBA scripts in Excel to automate tedious manual processes
  • Design custom interactive data visualizations using D3.js and other JavaScript libraries
  • Utilize real-world data sources to showcase social, financial, and political phenomena
  • Create in-depth graphs, charts, and tables utilizing a wide-variety of data-driven programming languages and libraries
  • Create Python-based scripts to automate the cleanup, re-structuring, and rendering of large, heterogeneous datasets
  • Interact with RESTful APIs using Python Requests and JSON parsing techniques
  • Use geographic data to create visually exciting, interactive, and informative maps
  • Write SQL commands to perform Create, Read, Update, and Delete commands
  • Utilize advanced SQL and Mongo techniques to combine multiple datasets into one so as to create even more impressive and comprehensive databases
  • Create basic interactive websites and applications to show your work to the entire world
  • Work with and lead small-scale teams in order to create applications and visual datasets
  • Scrape information from web pages in order to collect data from a wide-variety of online sources
  • Communicate and glean new business insights using enterprise-grade tools like Tableau
  • Analyze social media trends on Twitter and Facebook using automated programs
  • Work independently or in a group on complex data-mining projects
  • Discover the basics of troubleshooting and enhancing legacy code