It’s one thing to have a relationship with a reliable consultant, but at some point you’ll want to develop necessary skills in your own team. Whether you want to show business analysts how to work with data in Hadoop, or you’d like your data scientists to develop machine learning skills in Spark, we can deliver Data Science training tailored to your team’s need.
Ways We Can Help
We can provide you with instructor-led courses, distance classes, or e-learning. Our unique custom approach, based on typical use cases in your organization rather than canned exercises, ensures better retention than off-the-shelf generic training. Your group will remember what they learned because it’s immediately useful in their day-to-day work.
Our team includes instructors and designers who are experts in the technology we teach. We work together with your team to determine your exact training needs, develop the content, and create practical exercises relevant to your organization’s daily workflow, all in an enjoyable, hands-on oriented course.
Here’s a sample of Data Science Training courses we’ve delivered recently for our clients:
- Querying Data with SQL
- Introductory Hadoop
- Advanced Hadoop
- Introduction to Apache Spark
- Machine Learning with Spark
- GUI-Driven Data Science with KNIME
Short and Crisp. This is probably the 7th or 8th Hadoop course I went through. This one tops all.
Why Brilliant Data?
We’re recognized experts in Big Data technologies, having trained exceptional people at Fortune 100 companies on three continents, and our managing partner is Packt Publishing’s go-to authority on Apache Hadoop. We have the chops to deliver quality training, and do it in a way your team will retain their new skills long-term.
In addition to training solutions, Brilliant Data regularly assists clients with real-world applications of data technology. Our instructors are consultants who help clients align business goals with technology solutions, which is an important distinction; we don’t just teach, we use what we know in the business world every day.