Introduction to Data Analytics is a practical, hands-on training program designed to help participants understand the fundamentals of analyzing data and transforming information into meaningful insights. The course introduces essential data analytics concepts, including data collection, preparation, exploration, analysis, visualization, interpretation, and reporting. Participants will develop practical skills for identifying patterns, evaluating data, creating meaningful visualizations, and communicating findings effectively to support informed business and organizational decisions.
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MySQL and PostgreSQL Fundamentals is a practical, hands-on training program designed to help participants build a strong foundation in relational databases and SQL using two widely used database management systems. The course covers essential database concepts, SQL syntax, database design, tables, relationships, queries, joins, functions, data manipulation, and database management using MySQL and PostgreSQL. Participants...
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This course covers everything a database administrator needs to know to successfully deploy and maintain MongoDB databases.
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Among the most popular and widely implemented NoSQL databases is MongoDB. Its scalability, robustness, and flexibility have made it extremely popular among the Fortune 500 and Global 500 companies who use it to implement a variety of activities including social communications, analytics, content management, archiving, and other activities.
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This five-day hands-on training course delivers the key concepts and expertise developers need to use Apache Spark to develop high-performance parallel applications. Participants will learn how to use Spark Core and Spark SQL to query structured data and Spark Streaming to perform real-time processing on streaming data from a variety of sources.
Big Data and Machine Learning Fundamentals is a practical, hands-on training program designed to provide participants with a strong foundation in Big Data concepts and machine learning techniques. The course introduces Big Data technologies, data processing, analytics, and the fundamentals of machine learning, including data preparation, model development, pattern recognition, and predictive analysis. Participants will...
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Big Data Hadoop and Spark Developer is a practical, hands-on training program designed to help developers build scalable applications for processing and analyzing large datasets using Hadoop and Apache Spark. The course covers core Big Data concepts, Hadoop ecosystem technologies, distributed data processing, HDFS, MapReduce, Spark architecture, data transformations, and analytics. Participants will gain practical...
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Apache SystemML with Deep Learning is a practical, hands-on training program designed to help data professionals and developers understand scalable machine learning and deep learning using Apache SystemML. The course introduces SystemML concepts, data science workflows, machine learning algorithms, deep learning techniques, and large-scale data processing. Participants will gain practical experience developing and executing machine...
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Apache Kafka is a practical, hands-on training program designed to help developers, data engineers, and IT professionals build expertise in distributed event streaming and real-time data processing. The course covers Kafka architecture, brokers, topics, partitions, producers, consumers, replication, offsets, message delivery, and cluster management. Participants will gain practical experience building reliable event-driven solutions, processing real-time...