A 2-hour self-paced Power BI course designed for business professionals who need to interpret and present data effectively. With optional instructor access, participants learn how to:

• ∙ Navigate Power BI and interact with dashboards and reports
• ∙ Apply filters and slicers to uncover insights
• ∙ Share findings with teams to support data-driven decision-making

By the end, learners will have the confidence to use Power BI for business intelligence and reporting in their day-to-day roles.

This 20-hour, instructor-led Power BI training program equips participants with the skills to design and implement robust data visualization solutions. Training includes:

• ∙ Connecting Power BI to multiple data sources
• ∙ Data preparation using Power Query
• ∙ Creating calculations with DAX
• ∙ Building interactive dashboards and reports

Participants will also learn to publish, share, and maintain BI reports that drive actionable insights across the organization.

An advanced, 20-hour instructor-led Power BI course for experienced users seeking to deepen their expertise. Participants will gain advanced skills in:

• ∙ Complex data modeling and big data integration
• ∙ Writing and optimizing advanced DAX calculations
• ∙ Leveraging Python/R visuals for analytics
• ∙ Applying machine learning algorithms within Power BI

The course concludes with a real-world project, allowing learners to apply advanced techniques to deliver enterprise-level insights.

A 5-hour online course with instructor support, ideal for beginners starting their data-driven career path. Participants gain a foundational understanding of:

• ∙ Relational databases and data modeling
• ∙ SQL fundamentals and querying
• ∙ Data transformation techniques for preparing raw data

By course completion, learners will be equipped with the core skills to perform meaningful data analysis and progress toward advanced training.

This 20-hour instructor-led data analytics training program provides practical skills in data exploration, visualization, and reporting. Participants will learn how to:

• ∙ Work with structured and unstructured data types
• ∙ Use SQL for querying and data manipulation
• ∙ Build interactive dashboards with Power BI and Tableau
  

Learners will gain the ability to identify patterns and trends that drive better business performance and operational improvements.

A 20-hour instructor-led course focused on connecting analytics with business strategy. Participants will learn to:

• ∙ Align data analytics with organizational goals
• ∙ Design data-driven dashboards for decision-making
• ∙ Communicate insights effectively to stakeholders
  

This program develops the ability to transform business objectives into measurable, data-backed outcomes that directly support growth and strategy execution.

An advanced 20-hour data analytics course designed to build expertise in predictive modeling, forecasting, and optimization. Participants will apply:

• ∙ Supervised and unsupervised learning techniques
• ∙ Simulation and text analytics methods
• ∙ Advanced statistical techniques for complex problem-solving

By mastering these skills, learners will be prepared to support strategic business decisions with deep statistical analysis.

This 20-hour advanced program focuses on applying Microsoft analytics tools to solve real-world business challenges. Participants will learn how to:

• ∙ Integrate diverse data sources into unified platforms
• ∙ Develop predictive models for future outcomes
• ∙ Deliver actionable insights that directly enhance productivity
  

This course is designed for professionals ready to apply advanced analytics techniques in practical business environments.

A 5-hour beginner-friendly cybersecurity training designed to build essential IT security skills. Participants learn about:

• ∙ The role of data as a business asset
• ∙ Threat prevention strategies and encryption standards
• ∙ Risk management principles and security awareness

No prior experience is required, making this course ideal for professionals seeking to strengthen their cybersecurity foundations.

This introductory course teaches participants how to use Python for automation, data analysis, and application development. Training includes:

• ∙ Live coding demonstrations and guided exercises
• ∙ Project-based learning for practical application
• ∙ Real-time instructor feedback for skill reinforcement
  

Learners leave with the ability to build technical solutions that streamline workflows and improve efficiency.

A 20-hour instructor-led database training program covering SQL and relational database design. Participants will learn to:

• ∙ Create, maintain, and query databases
• ∙ Implement normalization and manage constraints
• ∙ Optimize data operations for performance and scalability
  

This hands-on course develops core database management skills critical for success in today’s data-driven industries.

A 20-hour web development course that builds the foundation of modern website design. Participants explore:

• ∙ HTML structure and CSS styling
• ∙ Responsive layouts and semantic design principles
• ∙ Efficient techniques for maintaining and updating websites

By course end, learners can create functional, visually appealing websites, preparing them for advanced front-end development.

This 20-hour instructor-led JavaScript training equips learners with skills to create dynamic, interactive web applications. Participants gain experience in:

• ∙ JavaScript syntax, control structures, and DOM manipulation
• ∙ Event handling and basic data structures
• ∙ Building interactive features that enhance user experience
  

Learners will be prepared to advance toward more complex software and web development training.

A 12-hour instructor-led Databricks course designed for professionals in data engineering and AI integration. Participants will learn:

• ∙ Databricks workspace management and Data Frames
• ∙ SQL and Apache Spark for big data processing
• ∙ MLlib machine learning techniques for predictive analytics
  

The program concludes with a real-world project, preparing learners to apply Databricks for advanced analytics and artificial intelligence initiatives.