Data Classes Virginia Beach, VA

In this comprehensive data science program, individuals will learn a variety of critical skills to become a data scientist. Students will learn to code with Python, create machine learning models, automate tasks like web scraping, and interact with databases using SQL. Topics include data analysis with Python's Numpy and Pandas packages, data visualization, predictive analytics, machine learning, SQL querying, Python automation, and web scraping. Students will learn hands-on by working in Python and SQL and will complete the program with the skills they need to enter the field of data science. This program offers flexible scheduling and provides a free retake for students to refresh the material.

This course covers the skills needed to become a Data Analyst or Business Analyst, including data analytics fundamentals, visualization with Tableau, using Python to clean and manipulate data, and how to work with relational databases. One-on-one mentoring is included.

In this program, participants will learn the key skills and tools needed to succeed as a data analyst, including Excel, SQL, and Tableau. Attendees will learn how to use Excel to create graphs, summarize data with PivotTables, and analyze data. In SQL, attendees will learn the essentials of relational databases, queries, functions, and more. Finally, participants will learn Tableau to create visualizations to express their data. The program is open to beginners and has flexible scheduling options. Tuition includes hands-on training, a free retake, and training manuals for each course.

In this data science bootcamp, students will build programming skills and data analysis skills using Python. This course is open to beginners and is meant to get individuals up and running with Python programming and data science to generate insights from data. Topics covered include programming fundamentals, working with data frames, data analysis, data visualization, and statistical analysis. This course offers flexible scheduling options and a free retake for students to refresh the materials.

Learn to problem solve, and effectively communicate, like an analyst. This course teaches you to use industry-standard tools to make ethical, data-driven decisions. Experience hands-on training to master SQL, Excel, Tableau, PowerBI, and Python – tools listed in virtually every data analytics job posting across industries.

This course teaches basic SQL Querying in 2-days. Students learn online, attending live training provided by professional instructors. The course explores database concepts such as grouping and summarizing data, joining tables, and clauses. Working in the online lab environment, students will get hands-on experience writing simple SELECT queries and using built-in functions and expressions.

This 1-day online course teaches students how to compose Advanced queries in SQL. Based on Microsoft’s SQL Server, this program is delivered live by experienced instructors, allowing for real-time feedback. Students will learn how to write advanced queries, advanced WHERE clauses, and create advanced joining tables. They will practice these schools in an online lab environment, where they can collaborate with other students.

This course is a 4-day comprehensive workshop on MySQL workbench data modeling and development. This program uses an online lab environment to allow students to practice what they are learning. The live training covers topics such as creating an ERD, defining the physical schemata, reverse engineering a database, managing security, and more. Students will also learn how to use MySQL Workbench to create and maintain MySQL databases effectively.

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.

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.

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.