Data Analysis Training in Gaia

This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level data scientists and engineers who wish to use Google Colab and Apache Spark for big data processing and analytics.

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

• Set up a big data environment using Google Colab and Spark.
• Process and analyze large datasets efficiently with Apache Spark.
• Visualize big data in a collaborative environment.
• Integrate Apache Spark with cloud-based tools.

This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level data professionals who wish to apply time series forecasting techniques to real-world data using Google Colab.

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

• Understand the fundamentals of time series analysis.
• Use Google Colab to work with time series data.
• Apply ARIMA models to forecast data trends.
• Utilize Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and forecasting results.

By completing this instructor-led, live training in Gaia, participants will acquire a practical, real-world grasp of Big Data, along with its associated technologies, methodologies, and tools.

Attendees will be able to apply this knowledge through hands-on exercises. The class places significant emphasis on group interaction and feedback from the instructor.

The course begins with an overview of fundamental Big Data concepts, then moves on to the programming languages and methodologies employed for Data Analysis. Finally, we examine the tools and infrastructure that facilitate Big Data storage, Distributed Processing, and Scalability.

This instructor-led, live training in Gaia (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud to manage their data warehousing and transformation projects in the cloud.

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

• Create and manage projects on dbt Cloud.
• Use the dbt Cloud interface to schedule and run data transformations.
• Collaborate on projects with team members.
• Deploy their dbt projects to production.
• Debug and troubleshoot dbt projects.

This instructor-led, live training in Gaia (online or onsite) is designed for beginner to intermediate-level data analysts and business professionals who want to perform complex data analysis tasks more intuitively across various industries using Google Gemini AI.

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

• Understand the fundamentals of Google Gemini AI.
• Connect various data sources to Gemini AI.
• Explore data using natural language queries.
• Analyze data patterns and derive insights.
• Create compelling data visualizations.
• Communicate data-driven insights effectively.

This instructor-led live training in Gaia (online or onsite) is aimed at data analysts and anyone interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.

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

• Execute data analysis using Python, R, and SQL.
• Generate insights through data visualization with Tableau.
• Make data-driven decisions to support business operations.

This instructor-led live training in Gaia (online or onsite) aims to support participants in their preparation for the Microsoft Certified: Data Scientist Associate certification exam (DP-100).

The program explores the core concepts of data science and machine learning, along with their application using Microsoft Azure Machine Learning. Participants will gain proficiency in preparing data, developing and training machine learning models, and deploying them to cloud environments. The course also examines methods for evaluating model performance and performing feature engineering.

This instructor-led live training in Gaia (online or onsite) targets intermediate-level data engineers who wish to become proficient in using Azure Synapse Analytics for a wide range of data processing, analytics, and visualization tasks.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master the techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This live, instructor-led session in Gaia delves into advanced big data methodologies, distributed computing, and machine learning at scale. It is crafted for senior data professionals aiming to master real-time analytics, deep learning integration, and robust data governance strategies.

The aim of the course is to help delegates to give evidence-based answers to questions:

What has happened?

• processing and analyzing data
• producing informative data visualizations

What will happen?

• forecasting future performance
• evaluating forecasts

What should happen?

• turning data into evidence-based business decisions
• optimizing processes

This instructor-led, live training in Gaia (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

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

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This instructor-led, live training in Gaia (online or onsite) is designed for developers and administrators who wish to use OpenSearch to perform distributed search and data analytics in a unified and secure system.

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

• Set up the necessary development environment to start building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Understand the three approaches (snapshot, restart, and rolling) in upgrading from Elasticsearch OSS to OpenSearch.
• Learn how to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
• Explore and use plugins, APIs, clients, and ingestion tools (Beats, Logstash, Grafana, etc.) to optimize search experience while keeping clusters secure.
• Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Gaia (online or onsite) is aimed at persons who wish to learn just enough Python to begin crunching numbers from sales data, traffic analytics, customer interactions, etc..

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

• Install and configure the necessary software, libraries and development environment to begin writing Python code for data analysis.
• Analyze data from sources such as Excel, CSV, JSON files and databases.
• Clean data to improve its usefulness before analyzing it.
• Perform simple statistical analysis.
• Generate reports that present the desired data in just the right format, from straight numbers to data visualizations.
• Gain valuable insight from data, including trends in performance, problematic areas.

This instructor-led live training in Gaia (online or onsite) is designed for business analysts who wish to acquire advanced Spotfire Analyst skills for data analysis.

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

• Share visualizations with different team members.
• Secure software access through role-based controls.
• Generate visualizations such as map charts.
• Integrate statistical computing languages, including R, with Spotfire.

This instructor-led live training in Gaia (online or onsite) is designed for data scientists, data analysts, and business analysts who aim to effectively clean and process data.

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

• Develop an effective data cleaning strategy.
• Implement useful tools for data cleaning.
• Get a result more efficiently.
• Learn and apply data cleaning best practices.

This instructor-led live training in Gaia, delivered either online or onsite, is specifically designed for business analysts aiming to utilize IBM Cognos for data analysis and reporting.

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

• Analyze and share data-driven insights.
• Visualize business performance effectively.
• Apply AI-assisted preparation to clean and consolidate data sources.
• Identify hidden data patterns through the built-in AI features of IBM Cognos Analytics.

The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analytics platform. The programme covers an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, business modelling methodology, and data modelling. The course also discusses advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualisation, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion covers reporting, integration with BIRT, and KNIME WebPortal.

This instructor-led live training in Gaia (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME.

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

• Plan, build, and deploy machine learning models within KNIME.
• Make data-driven decisions for operations.
• Implement end-to-end data science projects.

As your delegates prepare for advanced Data Analytics degrees abroad, they face a dual challenge: mastering technical coding and understanding how to translate data into business value. This intensive 5.5-hour program is architected to bridge both gaps simultaneously. By combining Python technical foundations with an introductory business analytics framework, we ensure your team starts their academic journey as leaders, not just learners.

This instructor-led, live training in Gaia (online or onsite) is aimed at business analysts and data analysts who wish to use TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data.

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

• Install and configure TIBCO Spotfire X.
• Understand the features and architecture of TIBCO Spotfire X.
• Understand the concepts behind augmented and predictive analytics.
• Learn how to load, process, and visualize data using Spotfire X.
• Create interactive and enhanced data visualizations.

This instructor-led, live training in Gaia (online or onsite) is aimed at business professionals who wish to use data storytelling, PowerPoint, and AI tools to create executive presentations that support decision-making and follow corporate branding standards.

By the end of this training, participants will be able to: structure messages with AI, improve slide design, strengthen visual stories, and deliver clearer executive presentations.