CYBER SECURITY
Duration 5 days – 35 hrs Overview The Data and Cybersecurity Protection Training Course is a 5-day instructor-led program designed to enhance participants’ knowledge and competencies in protecting company data, securing IT systems, and reducing cybersecurity risks. The course covers both the technical side of cybersecurity and the practical handling of sensitive company information....
CYBER SECURITY
Duration 2 days – 14 hrs Overview This course provides comprehensive training for members of an organization’s Data Breach Response Team. Participants will gain the knowledge and skills necessary to identify, respond to, and mitigate data breaches effectively. The course includes best practices, regulatory requirements, communication strategies, and hands-on exercises to prepare teams...
BUSINESS INTELLIGENCE
Data Cleaning & Visualization for Decision Making (Power BI/Tableau)
Duration 3 days – 21 hrs Overview A hands-on program that teaches participants how to clean messy data, reshape it into analysis-ready tables, and turn it into clear summary views and interactive dashboards that inform decisions. Using either Power BI (Power Query + DAX) or Tableau (Tableau Prep + LOD/Calcs), learners will practice...
DATA ANALYTICS
Duration 5 days – 35 hrs. Overview. This 5-day Data Digitization course is designed to provide participants with a comprehensive understanding of the principles, techniques, and tools required for effective data digitization. Participants will learn how to convert physical documents and records into digital formats, ensuring data accuracy, security, and accessibility. Through a combination...
CLOUD COMPUTING
Data Engineering on AWS with AWS DMS and Modern Data Services
The Data Engineering on AWS with AWS DMS and Modern Data Services Training Course provides participants with practical knowledge of designing, building, migrating, processing, and managing modern data solutions using Amazon Web Services (AWS). The course covers the end-to-end data engineering lifecycle, including data ingestion, database migration, data lakes, ETL/ELT processing, data warehousing, analytics, orchestration,...
The Data Engineering on GCP with Apache Airflow, Python, SQL, and Modern Data Tools Training Course provides participants with practical knowledge and skills for designing, building, orchestrating, and maintaining modern data pipelines using Google Cloud Platform (GCP) and widely adopted data engineering technologies. The course covers the complete data engineering lifecycle—from data ingestion, storage, transformation,...
CLOUD COMPUTING
Course Customization Options To request a customized training for this course, please contact us to arrange.
The Data Engineering with Microsoft Fabric, Data Factory, DAX, Python & SQL Training Course is a comprehensive program designed to develop practical skills for building, integrating, transforming, managing, and analyzing enterprise data using modern Microsoft data technologies. The course covers the end-to-end data engineering lifecycle, beginning with data engineering fundamentals, relational data concepts, and SQL,...
ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING
Data Handling and Preprocessing is a practical, hands-on training program designed to help participants develop the essential skills needed to collect, clean, transform, organize, and prepare data for analysis and machine learning. Since the quality of data directly affects the reliability of analytical results and predictive models, effective data preparation is a critical step in...
The Data Lake on AWS: S3, Glue, Athena, Lake Formation & EMR Training Course provides a comprehensive introduction to designing, building, securing, processing, and querying modern data lakes using Amazon Web Services (AWS). The course focuses on the core AWS services commonly used in a data lake architecture, including Amazon S3 for scalable data storage,...
DATA ANALYTICS
Duration 4 days – 28 hrs Overview The Data Management and Analytics Training Course is designed to equip participants with the knowledge and practical skills needed to manage, organize, analyze, and interpret data effectively for business decision-making. The course provides a comprehensive understanding of data lifecycle management, data governance, data quality, business intelligence, analytics...

