Data Visualization Classes Houston, TX

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.

In this 102-hour FinTech Bootcamp, participants learn how to use Python for financial analysis, machine learning and automation, and SQL. The program is taught by seasoned finance and data science professionals. Students will develop the ability to analyze financial statements, build predictive models, and work with databases. By the end of this course, newly-hired financial analysts will be prepared to succeed on the job, and aspiring financial analysts will have bolstered their resumes and technical interview skills. This course offers a free retake so students can refresh the material. It also includes one-on-one mentoring sessions.

This 1-day introduction to Microsoft Excel teaches participants how to create, manage and work with spreadsheets. Throughout this experience, students will learn how to use Microsoft Excel to organize and analyze data. They will gain practice with writing formulas, creating tables, and presenting data in charts and reports.

This 1-day program teaches experienced Microsoft Excel users how to leverage more advanced tools. This course teaches students how to use PivotTables to analyze data, trace precedents to understand cause and effect within the data, audit worksheets, and convert text. They will learn how to use macros to automate scripts and integrate Excel spreadsheets with other Microsoft Office tools.

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.