Stata: Beginner to Advanced Training Course

This instructor-led, live training in Kenya (online or onsite) is intended for data scientists and analysts wishing to learn how to utilize each tool in the developer tool palette of 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 reliance on coding.

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

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

• Construct Alteryx workflows to address common data preparation needs.
• Combine and parse data originating from various sources and file formats.
• Create and utilize standard macros to encapsulate reusable logic.
• Organize and automate workflows by applying industry best practices.

Course Format

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

Course Customization Options

• For customized training requests regarding this course, please get in touch to make arrangements.

This instructor-led, live training in Kenya (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 subsequent visualization in Power BI or Excel.
• Create and execute ETL operations with minimal or no coding.
• Embed custom R code within Alteryx.

This instructor-led live training in Kenya (online or on-site) targets intermediate-level data analysts seeking to understand the theoretical aspects of Cognos 11 and learn how to utilize it effectively.

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

• Grasp 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 Kenya (online or onsite) is designed for beginner to advanced consultants and finance professionals aiming to prepare for the Cognos Analytics certification. It builds expertise in financial data analysis, including modules for accounts payable, treasury, and expenses.

Upon completing this training, participants will be able to:

• Navigate and effectively use the Cognos Analytics interface.
• Create and tailor financial reports and dashboards.
• Manage data models and optimize queries.
• Prepare for the Cognos Analytics certification exam.

This instructor-led, live training in Kenya (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:

• Prepare 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 Kenya (online or onsite) targets business analysts who wish to utilize IBM Cognos for data analysis and reporting.

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

• Analyze data and share actionable insights.
• Visualize business performance metrics.
• Cleanse and integrate data sources using AI-assisted preparation tools.
• Reveal hidden data patterns utilizing the built-in AI capabilities of IBM Cognos Analytics.

This instructor-led live training in Kenya (online or onsite) targets data analysts and data scientists who wish to utilize Metabase for collecting, querying, and visualizing data for business intelligence analysis and reporting.

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

• Install and set up Metabase to start building data visualizations and dashboards.
• Learn how to query, aggregate, and visualize data in Metabase.
• Use the features and tools in Metabase to write SQL queries.
• Build analytics charts and dashboards to get business insights.
• Know the best practices and tips on using Metabase and resolving common issues.

The Pentaho Open Source BI Suite Community Edition (CE) is a comprehensive business intelligence solution offering data integration, reporting, dashboarding, and loading capabilities.

Through this instructor-led live training, attendees will explore ways to fully leverage the capabilities of the Pentaho Open Source BI Suite Community Edition (CE).

Upon completing this training, participants will be equipped to:

• Install and configure the Pentaho Open Source BI Suite Community Edition (CE)
• Grasp the core concepts of Pentaho CE tools and their functionalities
• Create reports utilizing Pentaho CE
• Incorporate third-party data sources into Pentaho CE
• Handle big data and analytics tasks within Pentaho CE

Audience

• Developers
• BI Developers

Course Format

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

Note

• For customized training requests, please reach out to us to make arrangements.

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

In this instructor-led, live training, participants will learn how to use Pentaho Data Integration's powerful ETL capabilities and rich GUI to manage an entire big data lifecycle and maximize the value of data within their organization.

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

• Create, preview, and run basic data transformations containing steps and hops
• Configure and secure the Pentaho Enterprise Repository
• Harness disparate sources of data and generate a single, unified version of the truth in an analytics-ready format.
• Provide results to third-part applications for further processing

Audience

• Data Analyst
• ETL developers

Format of the course

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

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

This instructor-led live training, available either online or onsite, targets experienced engineers aiming to master the creation of high-performance, enterprise-scale, and heavily automated PDI solutions.

Upon completing this course, participants will be prepared to:

• Architect large-scale ETL pipelines utilizing advanced orchestration techniques.
• Optimize complex transformations to ensure peak performance.
• Implement hybrid integration patterns alongside scripting and automation.
• Design robust, maintainable workflows ready for production deployment.

Course Format

• Architectural discussions and demonstrations led by experts.
• In-depth lab exercises addressing advanced, real-world ETL challenges.
• Practical development within a production-like environment.

Course Customization Options

• Please reach out to us if you need a customized version of this training.

Pentaho Data Integration serves as a robust platform for extracting, transforming, and loading data.

This instructor-led live training, available either online or onsite, is designed for intermediate practitioners looking to elevate their Pentaho Data Integration (PDI) capabilities to handle more complex transformation scenarios.

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

• Design multi-step transformations that offer improved performance.
• Effectively work with variables, parameters, and reusable components.
• Integrate PDI with databases, APIs, and external systems.
• Implement best practices for creating maintainable and scalable ETL pipelines.

Course Format

• Interactive demonstrations alongside instructor-led explanations.
• Guided exercises and scenario-based practical sessions.
• Hands-on experience within a real-world ETL project environment.

Customization Options

• Should you require a tailored version of this course, please reach out to us to arrange customization.

This instructor-led live training, offered Kenya (online or onsite), is tailored for data analysts and data scientists looking to search, analyze, and visualize data using Splunk.

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

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

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

Upon completing this training, participants will be able to:

• Perform advanced searches leveraging Splunk’s robust search commands and capabilities.
• Analyze data using subsearches, statistical commands, and evaluation functions.
• Develop sophisticated reports and dashboards featuring advanced visualization options.
• Deploy alerts and scheduled reports for monitoring and notification needs.

This instructor-led, live training in Kenya (online or onsite) is designed for intermediate-level IT administrators who want to use Splunk to profile and manage IT infrastructure, optimize system architecture, troubleshoot issues effectively, and harness Splunk’s capabilities for comprehensive data analysis and real-time monitoring.

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

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