Duration 3 Days – 21 hrs.   Overview   The Data Analytics using Excel 2019 Training Course equips participants with the essential skills to analyze, interpret, and visualize data using Microsoft Excel 2019. This course focuses on practical, real-world applications of data analytics, enabling participants to transform raw data into meaningful insights that support business...

Duration 10 days – 70 hrs.   Overview. The Data Analytics with Python, Azure Data Warehouse, and Power BI Training Course is an intensive program designed to equip participants with the skills and knowledge required to excel in the world of data analytics using the powerful combination of Python, Azure Data Warehouse, and Power BI....

DATA SCIENCE

Data Analytics with R

This course offers hands-on experience with R and its major features, including installation, data analytics, data science and real time applications. On completion, participants will have a solid foundation for creating enterprise-ready models using R.

Duration 5 days – 35 hrs.   Overview. This Data Analytics course provides a comprehensive introduction to data analytics using SQL Server and Power BI. You will learn how to extract, transform, and load (ETL) data using SQL Server, create compelling visualizations with Power BI, and gain valuable insights from data to drive informed decision-making....

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....

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...

Duration  5 days – 35 hrs   Overview   The Data Center Infrastructure Management (DCIM) Training Course is designed to equip IT professionals with the knowledge and skills needed to effectively design, manage, and optimize data center infrastructure. In today’s digital age, data centers are at the heart of IT operations, serving as the backbone...

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...

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...

Course Customization Options To request a customized training for this course, please contact us to arrange.

ARTIFICIAL INTELLIGENCE / MACHINE LEARNING / DEEP LEARNING

Data Handling & Preprocessing

 Duration 2 days – 14 hrs   Overview   This course introduces learners to the fundamental skills of working with datasets, cleaning and transforming data, and performing exploratory data analysis (EDA). Participants will gain hands-on experience in preparing raw data for AI and machine learning models, ensuring high-quality input for better outcomes.   Objectives Understand...

 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...

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