Data Classes New Orleans, LA

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 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.

In this 3-day introductory SQL course, participants will learn the basics of databases and start querying databases with SQL. Participants will get comfortable with databases and start performing basic querying techniques like SELECT, ORDER, SUM, and GROUP BY. They will learn how to query performance, normalize data, and practice using SQL Server in a hybrid cloud.

This 2-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. Students will learn how to create maps, dashboards, and stories, and use them to create advanced visualizations.

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. This course also covers mapping, best practices for presentations, advanced visualizations and dashboarding, interacting with the Tableau server, integrating with R, and more.

This 1-day Excel course introduces beginners to the fundamentals of Excel, getting them 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 course is a great start for anyone seeking Microsoft Excel certification. Additional courses will be needed.

This 1-day Excel course is designed for individuals familiar with Excel but who are looking to bolster their knowledge of Excel’s capabilities. Students will learn how to use data analysis tools, manage complex workbooks, and take advantage of Excel’s presentation features. 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.