SPSS From Scratch to Advanced Training Course

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level participants who want to master advanced data integration and visualization techniques in Looker Studio. You will learn how to connect diverse data sources, design compelling dashboards, and automate reporting workflows to make better business decisions.

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

• Connect and integrate multiple data sources into Looker Studio.
• Create custom metrics and calculated fields for tailored analysis.
• Design advanced visualizations, including interactive filters and charts.
• Automate reporting workflows for real-time data updates.
• Apply best practices for visual storytelling and report customization.

This instructor-led, live training in Uzbekistan (online or onsite) targets data scientists and analysts who want 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 requirements.

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

Upon completion of this training, participants will be capable of:

• Constructing Alteryx workflows to address common data preparation needs.
• Combining and parsing data from diverse sources and formats.
• Developing and utilizing standard macros to encapsulate reusable logic.
• Organizing and automating workflows using industry best practices.

Course Format

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

Customization Options

• To arrange customized training for this course, please contact us.

This instructor-led live training, accessible online or onsite in Uzbekistan, targets intermediate data analysts who aim to understand the theoretical foundations of Cognos 11 and learn how to apply it effectively.

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

• Recognize the differences and improvements in Cognos 11 compared to Cognos 10.
• Utilize the upgraded data module and data management features for enhanced data efficiency.
• Implement best practices to facilitate a smooth transition and maximize the benefits of Cognos 11.

This instructor-led, live training in Uzbekistan (online or on-site) is designed for consultants ranging from beginner to advanced levels, as well as finance professionals aiming to prepare for the Cognos Analytics certification and build 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 use the Cognos Analytics interface efficiently.
• Develop and customise financial reports and dashboards.
• Manage data models and optimise queries.
• Prepare for the Cognos Analytics certification exam.

This instructor-led, live training in Uzbekistan (online or on-site) is designed for business analysts who wish to use IBM Cognos for data analysis and reporting.

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

• Analyze and share insights about data.
• Visualize 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 Uzbekistan (online or on-site) targets beginner to intermediate participants seeking to build foundational skills in data visualization and reporting using Looker Studio. The curriculum focuses on connecting data sources, effectively visualizing information, and extracting actionable insights.

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

• Understand the core features of Looker Studio and its use cases.
• Set up Looker Studio and connect to various data sources.
• Create engaging dashboards with charts, graphs, and filters.
• Customize reports for specific audiences and business needs.
• Collaborate on and share dashboards effectively.

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

Upon completing this training, participants will be able to:

• Set up and install Metabase to begin creating data visualizations and dashboards.
• Master the techniques for querying, aggregating, and visualizing data within Metabase.
• Utilize Metabase's features and tools to write SQL queries effectively.
• Construct analytics charts and dashboards to derive meaningful business insights.
• Apply best practices and troubleshooting tips for using Metabase and resolving common issues.

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

In this instructor-led, live training, participants will learn how to leverage Pentaho Data Integration's powerful ETL capabilities and rich graphical user interface to manage the entire big data lifecycle and maximise the value of data within their organisation.

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

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

Audience

• Data Analyst
• ETL developers

Format of the course

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

Pentaho Data Integration is a comprehensive platform for designing enterprise-grade ETL and data pipelines.

This instructor-led, live training (online or onsite) is aimed at advanced-level engineers who wish to master high-performance, enterprise-scale, and highly automated PDI solutions.

Upon completing this course, learners will be equipped to:

• Architect large-scale ETL pipelines with advanced orchestration.
• Optimise complex transformations for high performance.
• Implement scripting, automation, and hybrid integration patterns.
• Design robust, maintainable, production-ready workflows.

Course Format

• Expert-led demonstrations and architectural discussions.
• Extensive practical lab work tackling advanced real-world ETL challenges.
• Hands-on development within a production-like environment.

Course Customisation Options

• Contact us if you require a customised version of this training.

Pentaho Data Integration is a platform for data extraction, transformation, and loading.

This instructor-led, live training (online or on-site) is designed for intermediate-level practitioners who wish to enhance their PDI skills to handle more complex transformation scenarios.

Upon completing this training, participants will be able to:

• Design multi-step transformations with improved performance.
• Work with variables, parameters, and reusable components.
• Integrate PDI with databases, APIs, and external systems.
• Apply best practices for maintainable and scalable ETL pipelines.

Course Format

• Interactive demos and instructor-led explanations.
• Guided exercises and scenario-based practice.
• Hands-on work within a real-world ETL project environment.

Course Customisation Options

• If you require a tailored version of this course, please contact us to customise it.

This instructor-led, live training in Uzbekistan (available online or on-site) is designed for data analysts and data scientists who wish to search, analyze, and visualize data using Splunk.

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

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

This instructor-led, live training in Uzbekistan (online or on-site) is designed for intermediate-level data analysts seeking to deepen their understanding of Splunk and build upon the foundational knowledge gained in Splunk Fundamentals 1.

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

• Carry out advanced searches using Splunk's powerful search commands and capabilities.
• Use subsearches, statistical commands, and evaluation functions to analyse data.
• Create sophisticated reports and dashboards featuring advanced visualisation options.
• Implement alerts and scheduled reports for monitoring and notification purposes.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for intermediate-level IT administrators who want to leverage Splunk to profile and manage IT infrastructure, optimize system architecture, troubleshoot effectively, and harness 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.

This instructor-led live training in Uzbekistan (online or onsite) is designed for engineers who want to load data into Splunk Indexers and manipulate data within Splunk.

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

• Utilize various data input methods and sources.
• Install, configure, manage, and monitor Forwarders.
• Manipulate raw data within Splunk.
• Generate a Splunk Diag.