TOP 10 DATA SCIENCE COURSES IN ATLANTA, USA

Escape beginner mode and get the best out of ChatGPT by mastering prompts and learning the ways GPT can help you daily

Companies rely on data to help identify challenges, capitalize on opportunities and make timely business decisions that could materially affect their bottom line.

Microsoft Analyzing Data with Power BI course is offered by Ledet for all skill level. You'll have fun in these hands-on, instructor-led training classes, the easiest and most comprehensive way to learn graphics software fast. We teach the cool stuff!

Learn how to perform data analysis with the R language and software environment, even if you have little or no programming experience.

This course is intended as a continuation of our introductory-level courses PL-300: Microsoft Power BI Data Analyst and/or Excel BI Tools: Power BI for Excel Users in Power BI.

The R Programming Introduction course will help students learn how to perform data analysis with the R language and software environment, even if they have little to no programming experience.

This course will discuss the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI .

Students learn how to connect to a data source, transform data, organize a data model, create measures to summarize their data, and express their data using Power BI visualizations.

Accelebrate's  Machine Learning with TensorFlow & Keras training teaches attendees how to develop real-world machine learning applications powered by TensorFlow and Keras, popular technologies for building production-grade deep learning models. Students also learn how to use an HTTP API to retriev...

Accelebrate's Introduction to R Programming training course teaches attendees how to use R programming to explore data from a variety of sources by building inferential models and generating charts, graphs, and other data representations.

The Machine Learning Pipeline on AWS course explores how to use the machine learning (ML) pipeline to solve a real business problem in a project-based learning environment.