Data Science

Data literacy is defined as the ability of individuals to understand, interpret, evaluate and use data effectively. This skill includes individuals' ability to think data-based, perform data analysis, visualize data, manage data, and make data-driven decisions. Data literacy is becoming more and more important today. Because large amounts of data are produced in the digital...

This hands-on training course delivers the key concepts and expertise developers need to use Apache Spark to develop high-performance parallel applications. The course covers how to work with “big data” stored in a distributed file system, and execute Spark applications on a Hadoop cluster. After taking this course, participants will be prepared to face real-world...

This hands-on training course delivers the key concepts and expertise developers need to develop high-performance parallel applications with Apache Spark . Participants will learn how to use Spark SQL to query structured data and Spark Streaming to perform real-time processing on streaming data from a variety of sources. Developers will also practice writing applications that...

This Introduction to Spark Programming course introduces the Apache Spark distributed computing engine and is suitable for developers, data analysts, architects, technical managers, and anyone who needs to use Spark in a hands-on manner. The course provides a solid technical introduction to the Spark architecture and how Spark works. It covers the basic building blocks...

Data Science is the process of using statistics, mathematics, programming and problem-solving skills to understand, analyze, interpret data, make predictions and make decisions, including discovering patterns and trends in large data sets, extracting meaningful information from data, and predicting future events. aims. Data science processes large and complex data sets from various fields and extracts...