Data Analytics Classes New Orleans, LA

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.

Data Analytics Flex is a 6-month part-time program designed to get you a job as a data analyst. You will begin by learning how to master Excel and storytell with Powerpoint. Afterwards, you'll learn how to query data using SQL and visualize data using Tableau. Once you've mastered these building blocks, you'll receive business case studies to simulate real-world work projects and you'll also be exposed to statistics. Finally, you'll learn how to clean data using Python and work on your capstone project. This program comes with a tuition backed guarantee if you don't land a job within 6 months of graduation.

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 8-day intensive Data Analytics bootcamp, students with little to no background in data analytics will learn how to use Microsoft Excel, SQL, and Tableau to summarize, display, and discover key insights hidden in data sets. By the end of this bootcamp, students will be able to use Excel to aggregate and summarize data, sort data with PivotTables, create charts and tables in Excel, use SQL to filter and sort large data sets, use advanced database queries, create visualizations with Tableau, and much more. Students will also be able to reinforce what they learn through the numerous projects they encounter throughout the course. This course also offers a free retake within six months to allow students to revisit any concepts needing to be refreshed and walk away with a much stronger grasp of the material.

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.

Experienced users of Excel can learn more advanced skills in this 1-day course. Students will learn how to use Excel’s lookup and decision-making functions, error-handling, array functions, and macros. They will also learn how to use the Power Pivot Data Model and Analysis Toolpak. Completion of this course should prepare students for the Microsoft Office Experts exams for Excel.

This 1-day Excel course is designed for individuals familiar with Excel 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, creating and enhancing PivotTables, and much more. Students will learn how to manipulate data from multiple datasets, enable and navigate PowerPivot, and create KPIs.

This 1-day Microsoft Excel course teaches students how to work with PivotTables. Students will create PivotTables, rearrange layouts, and manipulate and analyze data. They will complete several lab projects in which they practice their skills and learn how to publish their finished PivotTables to the web.

Deliver the correct information to the correct people at the correct time with the skills you acquire in this intermediate Microsoft Excel course which focuses on dashboards. An interactive dashboard helps users digest data more completely. Specific course topics for this one-day program include using advanced formulas, automating some Excel functions, working with conditional formulas, applying data charts, and analyzing information.

In this 2-day course, participants will learn how to add analytics to their Excel spreadsheets. They will learn how to create tables, charts, pivot tables, pivot charts, dashboards, and data models. They will complete a lab exercise for each module, giving them the opportunity to practice what they have learned.

During this three-day course, students will learn how to analyze data with Excel. They will learn how to extend the classic Excel dashboard, create measures using DAX, and upload data to the Power BI dashboard. Students will also learn how to use the Power BI Mobile App.

Learn to analyze data from multiple sources more effectively in this three-day Power BI introductory course. Specific topics include self-service BI data analysis, data connections, advanced data manipulation, visualizations, enhancements, and DAX calculations. Students will also learn how to optimize data models, create cross-tabular reports, and much more.