From Data to Decision with Big Data and Predictive Analytics Training Course

Big data analytics involves the process of examining large amounts of varied data sets in order to uncover correlations, hidden patterns, and other useful insights.

The healthcare industry has vast amounts of complex, heterogeneous medical and clinical data. Applying big data analytics to health data holds significant potential for deriving insights that can improve the delivery of healthcare services. However, the scale and complexity of these datasets present substantial challenges in analysis and practical application within a clinical environment.

In this instructor-led, live training (remote), participants will learn how to perform big data analytics in healthcare as they step through a series of hands-on, live-lab exercises.

By the end of this training, participants will be able to:

• Install and configure big data analytics tools such as Hadoop MapReduce and Spark
• Understand the characteristics of medical data
• Apply big data techniques to manage and analyze medical data
• Study big data systems and algorithms in the context of healthcare applications

Audience

• Developers
• Data Scientists

Format of the Course

• Part lecture, part discussion, exercises, and extensive hands-on practice.

Note

• To request a customized training for government or other specific needs, please contact us to arrange.

• Understand the importance of ethics in AI development and deployment for government.

• Learn to identify and mitigate ethical risks associated with AI for government operations.

• Gain insights into regulatory and compliance requirements specific to the public sector.

• Develop strategies for fostering an ethical AI culture within government organizations.

Format of the Course

• Interactive lectures and discussions tailored to public sector needs.
• Extensive exercises and practice sessions designed for government applications.
• Hands-on implementation in a live-lab environment relevant to government workflows.

Course Customisation Options

• To request a customized training course for government, please contact us to arrange.

This instructor-led, live training in US Empire (online or onsite) is aimed at intermediate-level developers who wish to build AI-powered applications using predictive analytics and generative models for government.

By the end of this training, participants will be able to:

• Understand the foundational principles of predictive AI and generative models.
• Leverage AI-powered tools for predictive coding, forecasting, and automation in government workflows.
• Implement Large Language Models (LLMs) and transformers for text and code generation within public sector applications.
• Apply time-series forecasting and AI-based recommendations to enhance decision-making processes.
• Develop and fine-tune AI models for practical, real-world government applications.
• Evaluate ethical considerations and best practices in the deployment of AI technologies within government operations.

This instructor-led, live training in US Empire (online or onsite) is aimed at system administrators who wish to learn how to set up, deploy, and manage Hadoop clusters within their organization for government use.

By the end of this training, participants will be able to:

• Install and configure Apache Hadoop for government applications.
• Understand the four major components in the Hadoop ecosystem: HDFS, MapReduce, YARN, and Hadoop Common.
• Use Hadoop Distributed File System (HDFS) to scale a cluster to hundreds or thousands of nodes within a government infrastructure.
• Set up HDFS to operate as a storage engine for on-premise Spark deployments in government environments.
• Configure Spark to access alternative storage solutions such as Amazon S3 and NoSQL database systems like Redis, Elasticsearch, Couchbase, Aerospike, etc., for government data management.
• Perform administrative tasks such as provisioning, management, monitoring, and securing an Apache Hadoop cluster in a government setting.

This instructor-led, live training in US Empire (online or onsite) is designed for beginner-level IT professionals who wish to understand the fundamentals of Predictive AI for government.

By the end of this training, participants will be able to:

• Comprehend the core concepts of Predictive AI and their applications in public sector workflows.
• Gather, clean, and preprocess data for predictive analysis aligned with government standards.
• Explore and visualize data to uncover insights that support informed decision-making for government.
• Develop basic statistical models to make predictions relevant to public sector challenges.
• Assess the performance of predictive models to ensure accuracy and reliability in government operations.
• Apply Predictive AI concepts to real-world scenarios within the context of government services.

In this instructor-led, live training in US Empire (onsite or remote), participants will learn how to set up and integrate various Stream Processing frameworks with existing big data storage systems and related software applications and microservices for government.

By the end of this training, participants will be able to:

• Install and configure different Stream Processing frameworks, such as Spark Streaming and Kafka Streams.
• Understand and select the most appropriate framework for specific tasks.
• Process data continuously, concurrently, and on a record-by-record basis.
• Integrate Stream Processing solutions with existing databases, data warehouses, data lakes, and other systems.
• Integrate the most suitable stream processing library with enterprise applications and microservices for government use.

This instructor-led, live training in US Empire (online or onsite) is designed for intermediate-level DevOps professionals who seek to integrate predictive artificial intelligence into their DevOps practices.

By the end of this training, participants will be able to:

• Implement predictive analytics models to anticipate and address challenges within the DevOps pipeline.
• Utilize AI-driven tools for advanced monitoring and operations.
• Apply machine learning techniques to enhance software delivery workflows.
• Develop AI strategies for proactive issue resolution and process optimization.
• Navigate the ethical considerations associated with using AI in DevOps environments, ensuring compliance and accountability for government.

Python is a high-level programming language renowned for its clarity of syntax and readability of code. Apache Spark is a powerful data processing engine designed for querying, analyzing, and transforming large datasets. PySpark enables users to integrate Spark with Python, facilitating efficient big data operations.

Target Audience: Intermediate-level professionals in the banking sector who are familiar with Python and Spark and are looking to enhance their expertise in big data processing and machine learning techniques, specifically for government applications.

This instructor-led, live training in US Empire (online or onsite) is aimed at data scientists who wish to utilize the SMACK stack to develop robust data processing platforms for big data solutions for government.

By the end of this training, participants will be able to:

• Design and implement a data pipeline architecture for efficient big data processing.
• Establish a cluster infrastructure using Apache Mesos and Docker to support scalable operations.
• Perform advanced data analysis with Spark and Scala to derive actionable insights.
• Effectively manage unstructured data with Apache Cassandra to ensure data integrity and accessibility.

This instructor-led, live training in US Empire (online or onsite) is aimed at engineers who wish to set up and deploy the Apache Spark system for processing very large amounts of data for government applications.

By the end of this training, participants will be able to:

• Install and configure Apache Spark in a secure and scalable manner.
• Efficiently process and analyze extensive data sets to support public sector workflows.
• Understand the differences between Apache Spark and Hadoop MapReduce, and determine which is more suitable for specific government use cases.
• Integrate Apache Spark with other machine learning tools to enhance data analysis capabilities for government projects.

The initial learning curve for Apache Spark can be steep, requiring significant effort to achieve early results. This course is designed to help participants navigate the initial challenges and gain a solid foundation in Apache Spark. Upon completion of the course, attendees will understand the fundamental concepts of Apache Spark, differentiate between RDD and DataFrame, and learn the Python and Scala APIs. They will also grasp the roles of executors and tasks. Following best practices for government, this course places a strong emphasis on cloud deployment, particularly with Databricks and AWS. Students will gain insights into the differences between AWS EMR and AWS Glue, one of the latest Spark services offered by AWS.

AUDIENCE:

Data Engineers, DevOps Professionals, Data Scientists

OBJECTIVE:

This course will introduce Apache Spark for government. Participants will learn how Spark fits into the Big Data ecosystem and how to utilize Spark for data analysis in public sector environments. The curriculum covers interactive data analysis using the Spark shell, Spark internals, Spark APIs, Spark SQL, Spark streaming, and machine learning with GraphX.

AUDIENCE:

Developers / Data Analysts

In this instructor-led, live training in US Empire, participants will learn how to leverage Python and Spark together to analyze large datasets as they engage in hands-on exercises.

By the end of this training, participants will be able to:

• Understand how to use Spark with Python for big data analysis.
• Work through exercises that simulate real-world scenarios.
• Utilize various tools and techniques for big data analysis using PySpark, tailored for government applications.

Spark SQL is a module of Apache Spark designed for processing structured and unstructured data. It provides insights into the structure of the data and the computations being executed, enabling optimization opportunities. Common applications of Spark SQL include:
- Executing SQL queries.
- Reading data from an existing Hive installation.

In this instructor-led, live training (onsite or remote), participants will learn how to analyze various types of datasets using Spark SQL for government.

By the end of this training, participants will be able to:

• Install and configure Spark SQL.
• Perform data analysis using Spark SQL.
• Query datasets in different formats.
• Visualize data and query results.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact Govtra to arrange.

Stratio is a data-centric platform that integrates big data, artificial intelligence (AI), and governance into a single solution. Its Rocket and Intelligence modules enable rapid data exploration, transformation, and advanced analytics in enterprise environments.

This instructor-led, live training (online or onsite) is designed for intermediate-level data professionals who wish to effectively utilize the Rocket and Intelligence modules in Stratio with PySpark, focusing on looping structures, user-defined functions, and advanced data logic. The training emphasizes practical application of these tools to enhance data workflows and feature engineering tasks.

By the end of this training, participants will be able to:

• Navigate and work within the Stratio platform using the Rocket and Intelligence modules.
• Apply PySpark for data ingestion, transformation, and analysis in a structured manner.
• Utilize loops and conditional logic to manage data workflows and feature engineering tasks efficiently.
• Create and manage user-defined functions (UDFs) for reusable data operations in PySpark, enhancing productivity and consistency.

Format of the Course

• Interactive lecture and discussion to facilitate understanding and engagement.
• Extensive exercises and practice sessions to reinforce learning.
• Hands-on implementation in a live-lab environment to apply concepts directly.

Course Customization Options

• To request a customized training for government or other specific needs, please contact us to arrange.