Data Visualization Classes Virginia Beach, VA

In this comprehensive 2-day course, participants can become an advanced Tableau user able to work with data to create visualizations and use the various tools Tableau Public has to offer. They will learn to identify datasets to create desired visualizations and then master the Tableau tools on a deeper level to customize their visualizations. By the end of this course, participants will have learned to create maps to represent geographical data, and build actions to control visualizations within sheets and dashboards. Tuition includes hands-on training, a free retake, and a course manual. The course offers flexible scheduling and is available online or in NYC.

In this course, participants will be introduced to the field of data visualization and the various tools Tableau Public offers. They will learn to identify datasets to connect to, explore, analyze, filter and structure data to create desired visualizations. Beginners will learn to understand and manipulate data in Tableau, create their first visualization, distribute and publish their visualization and cover topics such as formatting visualizations, Tableau calculations and creating dashboards and stories. Tuition includes hands-on training, a free retake, and a course manual. The course offers flexible scheduling and is available online or in NYC.

This 2-day comprehensive Tableau course is designed to provide beginners the skills they need to start working in Tableau and creating powerful data visualizations. In the beginner part of the program, students will begin learning the tool's essentials, including data connecting, manipulation, and calculation. Then students will begin to create visualizations from their data with charts, graphs, and dashboards. In the advanced section of the course, participants will learn advanced visualization techniques creating data maps, visualization maps, and custom charts.

This beginner Tableau course teaches participants the fundamentals of data visualization with Tableau. Students will get going in Tableau with hands-on exercises in tools working with data. This course covers data connection, calculations, data manipulation, data visualization, dashboard creation, and more. Participants will walk away with comfort working with data and creating visualizations in Tableau to start driving insights from data.

In this intermediate-level Tableau course, participants will take their Tableau skills to the next level with advanced visualization techniques. Participants will learn to create data maps, visualization maps, custom charts, and more. This 1-day course builds off beginner Tableau skills and teaches students more advanced visualization techniques in Tableau through hands-on exercises.

In this 2-day course, students can learn how to use Tableau Desktop’s advanced tools to create data visualizations. While attending this online program, students will learn how to interact with Tableau Server, get their data ready, improve their level of detail calculations, and integrate with R. This course uses live instruction by experienced professionals. Students get to learn and gain hands-on experience in an online lab environment.

This 2-day course teaches the basics of Tableau Desktop. Live online instruction will cover topics such as advanced visualizations, forecasting, distributions, trends, and using row-level, aggregate, and level of detail calculations. Students will get hands-on experience working with Tableau in the online lab environment. At the end of the program, students will be able to build and customize their own data visualizations.

This 2-day course teaches students how to use Tableau 10 to create data visualizations. Covering topics such as data preparation, analytics, interactivity and story points, students will learn how to organize, analyze and visualize data. Business professionals who take this course will acquire the skills to use data to drive strategic decision-making.

Get to know Microsoft Power Query, one of the most powerful Microsoft BI and Excel tools, in this introductory one-day class. Power Query allows users to transform and combine data from numerous sources. Through a combination of live instruction, class discussions, and hands-on learning, participants explore concepts like database connection, loading, and grouping, data merges, Power Query syntax, and CSV, text, and Excel management.

Learn how to use Microsoft Power BI to visualize business data in this two-day introductory course. Through a combination of individual and group projects, live instruction, and class discussions, participants master areas like grouping, summarizing, merging, and calculating data, database connection, Power BI tools, and data reporting.

This one-day, beginner-level course gives participants a basic overview of Microsoft Power BI Online. This platform enables users to import, combine, and transform data. Through a combination of hands-on learning, class discussions, and live instruction, participants acquire skills like dashboard and report configuration, data importing, and report sharing.

Jumpstart your Tableau skills in this one-day introductory-level course. Self-taught users and recent graduates usually benefit greatly from this class. Specific course topics include organizing and simplifying data, working with dates, adopting multiple views, demonstrating the relationship between business data and numerical values, customizing and analyzing data, working with pie charts and other data breakdowns, and viewing distributions.

Get to know the ins and outs of Tableau’s more advanced features in this two-day class that’s geared toward Tableau beginners. Anyone who regularly works with business data, regardless of technical background, usually benefits from this class. Specific course topics include simplifying, sorting, organizing, and filtering data, using multiple data viewing options, mapping data, reviewing specific values, customizing and analyzing data, viewing distributions, using reference links to highlight information, and making data views accessible.

Take your Tableau skills to the next level in this two-day intermediate course. Instruction focuses on advanced tools that optimize workflow. Specific course topics include information visualization, data organization, time-based calculations, location analytics, incremental data loads, R/Hadoop integration, and an enterprise-level case study.

This course teaches the fundamentals of Microsoft Excel. Students attending this 1-day course will learn how to set up workbooks, enter and format data, create charts and graphs, and use formulas to perform calculations. Students will know how to work with multiple versions of Microsoft Excel, including the mobile app and online versions.

This 1-day course is intended to help beginners develop more advanced skills in Microsoft Excel. This intermediate program will teach students how to perform calculations, manage worksheet data, combine data from multiple sources, and analyze alternative data sets. Students will also learn how to collaborate with colleagues, track changes, and export workbooks.

Intermediate users of Microsoft Excel will learn advanced skills in this 1-day course. The topics covered include automation with macros, alternative datasets, and dynamic worksheets. Students will learn important principles of business intelligence data analysis, and how to create forecasts and visualizations. This course is delivered online with live instructors.

This 1-day program builds on foundational knowledge of Microsoft Excel. Students in this course will learn how to create advanced workbooks and worksheets and use them to create dashboards. The use of dashboards in Microsoft Excel will enable students to make business data more accessible, understandable and useful for decision-making.

Apply Python skills to your data science career in this five-day intermediate course. Software engineers, data scientists, and data engineers all benefit from this course. Specific course topics include a Python review, iPython fundamentals, numpy number sets, scipy subpackages, panda dataframes, matplotlib plots, the Python image library, seaborn data visualization, SciKit classification, TensorFlow overview, PySpark, and Spark SQL, MLib, and streaming.