Stata: Beginner to Advanced Training Course

This instructor-led, live training in Malaysia (online or onsite) is aimed at data scientists and data analysts who wish to learn how to use each tool in the developer tool palette in Alteryx Designer.

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

• Learn to use and configure all the tools in the developer tab.
• Design efficient workflows in Alteryx using the dynamic, validation, and testing tools.
• Learn how to use API tools to download and parse web data.
• Use Alteryx scripting tools, including Python and R.

Alteryx Designer serves as a visual platform for data preparation and analytics, empowering users to blend, transform, and automate data workflows with minimal coding required.

This instructor-led live training, available online or onsite, is designed for professionals at the beginner to intermediate level who wish to acquire practical Alteryx skills in data preparation, blending, basic analytics, and workflow automation.

Upon completing this training, participants will be able to:

• Construct Alteryx workflows tailored for common data preparation tasks.
• Combine and parse data originating from various sources and file formats.
• Create and implement standard macros to encapsulate reusable logic.
• Organize and automate workflows using industry best practices.

Course Format

• Interactive lectures and live demonstrations.
• Hands-on exercises utilizing Alteryx Designer and sample datasets.
• Practical mini-projects focused on workflow automation tasks.

Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

This instructor-led live training in Malaysia (online or onsite) is designed for data scientists who wish to use Alteryx for data analysis.

Upon completion of this training, participants will be able to:

• Prepare data in Alteryx for later visualization in Power BI or Excel.
• Create and execute ETL operations with minimal to no coding.
• Embed custom R code within Alteryx.

This instructor-led, live training in Malaysia (online or onsite) is aimed at intermediate-level data analysts who wish to understand the theoretical aspects of Cognos 11 and also learn how to use it effectively.

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

• Understand the differences and enhancements in Cognos 11 compared to Cognos 10.
• Utilize the improved data module and data management features for more efficient data handling.
• Implement best practices for a smooth transition and optimal use of Cognos 11.

This instructor-led, live training in Malaysia (online or onsite) is aimed at beginner-level to advanced-level consultants and finance professionals who wish to prepare for the Cognos Analytics certification and gain expertise in financial data analysis, including modules for accounts payable, treasury, and expenses.

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

• Navigate and utilize the Cognos Analytics interface efficiently.
• Develop and customize financial reports and dashboards.
• Manage data models and optimize queries.
• Prepare for the Cognos Analytics certification exam.

This instructor-led, live training in Malaysia (online or onsite) is aimed at data scientists who wish to use Alteryx to prepare data for visualization and analysis.

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

• Preapre data with Alteryx to visualize later.
• Perform ETL operations with zero code.
• Leverage Alteryx to improve business intelligence and business analytics.

This instructor-led, live training in Malaysia (online or onsite) is aimed at business analysts who wish to use IBM Cognos for data analysis and reporting.

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

• Analyse and share insights about data.
• Visualise business performance.
• Use AI-assisted preparation to cleanse and combine data sources.
• Uncover hidden patterns in data with IBM Cognos Analytics built in AI features.

This instructor-led live training in Malaysia (online or onsite) is designed for data analysts and data scientists who wish to use Metabase to collect, query, and visualize data for business intelligence analysis and reporting.

Upon completion of this training, participants will be able to:

• Set up and install Metabase to begin creating data visualizations and dashboards.
• Understand how to query, aggregate, and visualize data within Metabase.
• Utilize Metabase’s features and tools to write SQL queries.
• Create analytics charts and dashboards to derive actionable business insights.
• Apply best practices and troubleshooting tips for using Metabase and resolving common issues.

The Pentaho Open Source BI Suite Community Edition (CE) is a comprehensive business intelligence package that offers data integration, reporting, dashboards, and loading capabilities.

In this instructor-led live training, participants will discover how to fully leverage the features of the Pentaho Open Source BI Suite Community Edition (CE).

Upon completing this training, participants will be capable of:

• Installing and configuring the Pentaho Open Source BI Suite Community Edition (CE)
• Gaining a solid understanding of the core concepts and features of Pentaho CE tools
• Developing reports using Pentaho CE
• Integrating third-party data sources into Pentaho CE
• Handling big data and analytics within Pentaho CE

Audience

• Programmers
• BI Developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request customized training for this course, please get in touch with us to arrange your schedule.

Pentaho Data Integration is an open-source tool designed for defining jobs and managing data transformations.

This instructor-led live training enables participants to master the powerful ETL capabilities and rich GUI of Pentaho Data Integration, empowering them to oversee the entire big data lifecycle and maximise the value of data within their organisations.

Upon completion of this training, participants will be able to:

• Create, preview, and execute basic data transformations involving steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Unify disparate data sources to generate a single, authoritative version presented in an analytics-ready format
• Deliver results to third-party applications for further processing

Audience

• Data Analysts
• ETL developers

Course Format

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Pentaho Data Integration serves as a robust platform for constructing enterprise-level ETL processes and data pipelines.

This instructor-led live training, available either online or onsite, targets advanced engineers looking to master high-performance, enterprise-scale, and highly automated PDI solutions.

Upon completion of this course, participants will be able to:

• Architect large-scale ETL pipelines featuring advanced orchestration capabilities.
• Optimise complex transformations to achieve peak performance.
• Implement scripting, automation, and hybrid integration patterns.
• Design robust, maintainable, and production-ready workflows.

Course Format

• Expert-led demonstrations coupled with architectural discussions.
• Comprehensive lab sessions addressing advanced real-world ETL challenges.
• Hands-on development within a production-like environment.

Customisation Options

• Please get in touch if you require a tailored version of this training.

Pentaho Data Integration serves as a robust platform for data extraction, transformation, and loading.

This instructor-led live training, available both online and onsite, is designed for intermediate-level professionals aiming to sharpen their Pentaho Data Integration (PDI) capabilities for handling more complex transformation challenges.

After completing this course, participants will be equipped to:

• Construct multi-step transformations with optimized performance.
• Utilize variables, parameters, and reusable components effectively.
• Seamlessly integrate PDI with databases, APIs, and external systems.
• Implement best practices for creating maintainable and scalable ETL pipelines.

Course Format

• Engaging demonstrations coupled with detailed instructor explanations.
• Guided exercises and scenario-based practical sessions.
• Hands-on experience within a real-world ETL project environment.

Course Customization Options

• For a bespoke version of this course tailored to your specific needs, please get in touch with us.

This instructor-led, live training in Malaysia (online or onsite) is aimed at data analysts and data scientists who wish to search, analyse, and visualise data using Splunk.

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

• Install and configure Splunk.
• Collect and index all kinds of machine data.
• Implement real-time search, analysis and visualisation of large datasets.
• Create and share complex dashboards and reports.

This instructor-led, live training in Malaysia (online or onsite) is aimed at intermediate-level data analysts who wish to deepen their understanding of Splunk and build upon their foundational knowledge acquired in Splunk Fundamentals 1.

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

• Conduct advanced searches using Splunk's powerful search commands and capabilities.
• Utilize subsearches, statistical commands, and evaluation functions to analyze data.
• Create sophisticated reports and dashboards with advanced visualization options.
• Implement alerts and scheduled reports for monitoring and notification purposes.

This instructor-led, live training in Malaysia (online or onsite) is aimed at intermediate-level IT administrators who wish to use Plunk to profile and manage IT infrastructure, optimize system architecture, troubleshoot effectively, and leverage Splunk’s capabilities for comprehensive data analysis and real-time monitoring.

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

• Understand and manage the complete Splunk infrastructure.
• Master Splunk architecture and components.
• Troubleshoot common and advanced issues effectively.
• Utilize Splunk to its full potential for data analysis, monitoring, and reporting.
• Administer data inputs, user management, and system configurations.