Data Analytics Classes Virginia, US

This program provides a comprehensive foundation in data analytics in 24-weeks. This course covers the fundamentals of statistics, Python, Tableau, SQL, and HTML/CSS. Graduates of this program will have a robust professional portfolio to share with their current or future employers.

This 1-day Excel course is crafted to introduce beginners to the fundamentals of Excel in order to enable them to feel comfortable working with spreadsheets. This course covers the basics of spreadsheets, the layout of Excel, entering data, using common formulas and functions, and a variety of other helpful tips and tricks.

This 1-day Excel course is designed for individuals familiar with Excel but who are looking to bolster their knowledge of building professional looking charts. This course covers a lot of broad chart-related content, including creating and working with charts, incorporating various styles and themes, using print options, and best practices around using excel data in other office applications, like Word or PowerPoint.

This 1-day Excel course is designed for individuals familiar with Excel but who are looking to bolster their knowledge of the various database and PivotTables features. This course covers a variety of PivotTable essentials, such as using lists, table features, working with data, making and enhancing PivotTables, and much more.

This 2-day Excel course is designed for individuals with a strong background using Excel but want to refresh their skills and learn some of the newest features to enhance your Excel mastery. This course moves at a fast pace and covers many of the most widely used and popular Excel techniques that will make students faster, more dynamic, and less error prone when working with spreadsheets. Some of the topics include short-cuts, formatting charts and graphs, database features, PivotTables, Formulas, Macros, and more.

This 4-day Tableau Desktop course is designed for students who have no prior knowledge of Tableau but are interested in learning common techniques to create great visualizations and dashboards. This course will help students get started with tableau and covers the basics of working with data, visualization best practices, plus a variety of ad hoc and table calculations. This course also covers dashboard design, advanced analytics like clustering and forecasting, data cleansing, storytelling with data, and more.

This 2-day Tableau Desktop course is designed for students who understand the fundamentals of working in Tableau and are interested in learning advanced techniques to become a Tableau superuser. This course will start with a quick review of the basics and then move on to many more advanced topics, like data preparation, complex joins, data densification, advanced calculations, and moving beyond basic chart types. The course also covers mapping, best practices for presentations, advanced visualizations and dashboarding, interacting with the Tableau server, integrating with R, and more.

Learn to seamlessly move raw data from an Excel spreadsheet to Microsoft BI for analysis in this two-day, basic-level class. Students build on their basic Excel knowledge to model the data then create and publish reports. Participants also master colors, text boxes, interactions, and other data visualization tools. Additionally, students examine sharing and publishing issues, including dashboards, workplaces, and personal gateways.

Move into advanced data analytics and explore the latest Microsoft Power BI features in this intermediate-level, two-day course. Students learn how to import data from PDF and other files in order to create advanced analytical models. Through hands-on learning, participants also explore topics like script visualization, report design, data analytics, and dashboard design.

Master the skills needed to examine and leverage business data in this advanced, three-day Microsoft Power BI class. Students become intimately familiar with the full suite of Power BI products. Through both individual and group projects, participants learn basic Business Intelligence concepts, manage dataflow with Excel and other platforms, combine and shape data into an effective model, work with direct connectivity options and interactive visualizations, and examine mobile business intelligence applications.