Data Analysis Training in Ljubljana

This instructor-led, live training in Ljubljana (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.

Stratio is a data-centric platform that integrates big data, AI, and governance into a single solution. Its Rocket and Intelligence modules enable rapid data exploration, transformation, and advanced analytics in enterprise environments.

This instructor-led, live training (online or onsite) is aimed at intermediate-level data professionals who wish to use the Rocket and Intelligence modules in Stratio effectively with PySpark, focusing on looping structures, user-defined functions, and advanced data logic.

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

• Navigate and work within the Stratio platform using Rocket and Intelligence modules.
• Apply PySpark in the context of data ingestion, transformation, and analysis.
• Use loops and conditional logic to control data workflows and feature engineering tasks.
• Create and manage user-defined functions (UDFs) for reusable data operations in PySpark.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

Making Data-Informed Decisions is the practice of integrating relevant data, evidence, and analysis into the decision-making process to improve public sector outcomes and accountability.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in using data for decision-making who design, evaluate, or manage government programs and wish to enhance their ability to interpret, validate, and apply data to real-world decisions.

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

• Understand what it means to be data-informed (versus data-driven or intuition-based).
• Identify and assess data relevant to a policy or service context.
• Ask better questions of data analysts and interpret dashboards and reports effectively.
• Apply data to justify, refine, or defend decisions in public service contexts.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of decision scenarios, data sets, and mock policy briefs.
• Guided exercises focused on practical decision-making use cases.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

This instructor-led, live training in Ljubljana (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.

Digital Intelligence is the ability to understand and leverage digital tools, data, and systems to make informed decisions in the context of public service delivery and governance.

This instructor-led, live training (online or onsite) is aimed at public sector professionals with limited or emerging experience in digital intelligence who work with data, digital tools, or service performance metrics and wish to strengthen their ability to analyze, interpret, and apply information for better decision-making.

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

• Understand the foundations of digital intelligence and how it applies to public sector work.
• Use digital tools to collect, visualize, and communicate actionable insights.
• Assess the digital maturity of their own team or department.
• Build a roadmap for enhancing digital capacity and data-driven practices.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of digital tools and dashboard mockups.
• Guided exercises focused on real-world public service use cases.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

Storytelling with Data is the practice of using visual and narrative techniques to transform complex datasets into clear, compelling stories that inform and inspire action.

This instructor-led, live training (online or onsite) is aimed at public sector professionals who work with data and have limited or informal training in data storytelling, and who wish to enhance their ability to present data clearly and persuasively through narrative and visuals.

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

• Transform raw data into impactful visual stories.
• Use chart selection and layout to support key messages.
• Structure data narratives that align with audience needs.
• Apply best practices for visual clarity and cognitive impact.

Format of the Course

• Interactive lecture and discussion.
• Hands-on use of storytelling techniques in data presentations.
• Guided exercises focused on clarity, visual flow, and audience impact.

Course Customization Options

• To request a customized training for this course based on your department's workflows or internal tools, please contact us to arrange.

Participants who complete this instructor-led, live training in Ljubljana will gain a practical, real-world understanding of Big Data and its related technologies, methodologies and tools.

Participants will have the opportunity to put this knowledge into practice through hands-on exercises. Group interaction and instructor feedback make up an important component of the class.

The course starts with an introduction to elemental concepts of Big Data, then progresses into the programming languages and methodologies used to perform Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability.

This instructor-led, live training in Ljubljana (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 Ljubljana (online or onsite) is aimed at data engineers and analysts who wish to learn beginner to intermediate-level knowledge of using AWS Glue to set up a data pipeline.

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

• Understand the fundamentals of AWS Glue.
• Set up an AWS Glue pipeline.
• Set up AWS Glue crawlers and jobs.
• Learn how to use AWS Glue transformations.

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

By the end 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 Ljubljana (online or onsite) is aimed at data analysts and anyone who is interested to learn 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:

• Perform data analysis using Python, R, and SQL.
• Create insights through data visualization with Tableau.
• Make data-driven decisions for business operations.

This instructor-led, live training in Ljubljana (online or onsite) is aimed at analysts who wish to use TM1 to analyze and customize reports and templates for data in a database.

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

• Learn how to analyze data using IBM Planning Analytics.
• Create custom views of the data in a database.
• Build reports and forms that communicate with TM1.

This instructor-led, live training in Ljubljana (online or onsite) is designed to help participants prepare for the Microsoft Certified: Data Scientist Associate certification exam (DP-100).

The course covers the basics of data science and machine learning, and how they can be implemented using Microsoft Azure Machine Learning. Participants will learn how to prepare data, build and train machine learning models, and deploy models to the cloud. The course also covers how to evaluate model performance and perform feature engineering.

This instructor-led, live training in Ljubljana (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.

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 instructor-led, live training in Ljubljana (online or onsite) is aimed at intermediate-level database administrators, SQL developers, and data analysts who wish to enhance their SQL skills by mastering the use of Analytic Functions.

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

• Understand the concept and importance of Analytic Functions.
• Apply various Analytic Functions to solve complex analytical problems.
• Combine Analytic Functions with other SQL features for comprehensive data analysis.
• Optimize queries for better performance using Analytic Functions.

This instructor-led, live training in Ljubljana (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework to perform data analysis while simplifying complex operations and aggregation pipelines.

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

• Install and configure MongoDB for data analysis.
• Understand the concepts and stages of the MongoDB Aggregation Framework.
• Learn about the basic structure, syntax, and operations for aggregation.
• Learn how to handle advanced operations in aggregation.
• Apply some optimization tools and techniques to improve aggregation performance.

Big Data and Advanced Analytics is the application of sophisticated techniques and tools to analyze large, complex datasets for actionable insights and strategic decision-making.

This instructor-led, live training (online or onsite) is aimed at advanced-level data professionals who wish to leverage cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics.

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

• Design and implement large-scale data processing pipelines for structured and unstructured data.
• Apply advanced machine learning and deep learning techniques to massive datasets.
• Leverage distributed computing frameworks for real-time analytics and data streaming.
• Integrate big data analytics into business intelligence and decision-making systems.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

The aim of the course in Ljubljana 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 Ljubljana (online or onsite) is aimed at data analysts or anyone who wishes to use SPSS Modeler to perform data mining activities.

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

• Understand the fundamentals of data mining.
• Learn how to import and assess data quality with the Modeler.
• Develop, deploy, and evaluate data models efficiently.

R is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students. It covers language fundamentals, libraries and advanced concepts. Advanced data analytics and graphing with real world data.

Audience

Developers / data analytics

Duration

3 days

Format

Lectures and Hands-on

Audience

Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel.

Course Objectives

This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research.

This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.

Data analytics is a crucial tool in business today. We will focus throughout on developing skills for practical hands on data analysis. The aim 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 Ljubljana (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 Ljubljana (online or onsite) is aimed at data scientists who wish to use IBM Cloud Pak to prepare data for use in AI solutions.

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

• Install and configure Cloud Pak for Data.
• Unify the collection, organization and analysis of data.
• Integrate Cloud Pak for Data with a variety of services to solve common business problems.
• Implement workflows for collaborating with team members on the development of an AI solution.

This instructor-led, live training in Ljubljana (online or onsite) is aimed at technical persons who wish to gain a practical understanding of available cloud solutions, the data analysis processes needed to work with data in the cloud, and the hands-on practice to apply tools such as Power BI to analyze data.

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

• Install and configure Power BI.
• Evaluate the various data solutions offered by cloud providers such as Azure.
• Gain an understanding of the different structures, modeling approaches, and data warehouse designs used to store, manage and access Big Data.
• Apply tools and techniques to clean data in preparation for analysis.
• Build reporting and analytics solutions based on on-premise as well as cloud data.
• Integrate data analytics solutions with a data warehouse.
• Mitigate data security risks and ensure data privacy.

This instructor-led, live training in Ljubljana (online or onsite) is aimed at 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 Ljubljana (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 (online or onsite) is aimed at software developers, managers, and business analyst who wish to use big data systems to store and retrieve large amounts of data.

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

• Query large amounts of data efficiently.
• Understand how Big Data system store and retrieve data
• Use the latest big data systems available
• Wrangle data from data systems into reporting systems
• Learn to write SQL queries in:
  • MySQL
  • Postgres
  • Hive Query Language (HiveQL/HQL)
  • Redshift 

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Ljubljana (online or onsite) is aimed at data scientists and software engineers who wish to use Dask with the Python ecosystem to build, scale, and analyze large datasets.

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

• Set up the environment to start building big data processing with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask.
• Understand how Dask accelerates parallel computing in Python.
• Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask.
• Optimize the Dask environment to maintain high performance in handling large datasets.

The aim of this course is to provide a clear understanding of the use of SQL for different
databases (Oracle, SQL Server, MS Access...). Understanding of analytic functions and the
way how to join different tables in a database will help delegates to move data analysis
operations to the database side, instead of doing this in MS Excel application. This can also
help in creating any IT system, which uses any relational database.

This instructor-led, live training in Ljubljana (online or onsite) is aimed at business analysts who wish to learn advanced Spotfire Analyst techniques for analyzing data.

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

• Share visualizations among different team members.
• Secure access to software based on roles and access controls.
• Create visualizations such as map charts.
• Integrate statistical computing languages such as R with Spotfire.

This course emphasizes the utilization of data analytic techniques and methodologies to address business challenges using R, Python, and SQL. It underscores the integration of business requirements with data analytics, treating the latter as a toolkit for tackling business queries and issues.

Target Audience

• Professionals in decision-making roles, including managers and executives, who are seeking to harness data for informed choices. Data specialists, marketing professionals, and business consultants aiming to refine their data interpretation and storytelling skills.

Data Analysis for Business Users is a practical, hands-on training designed to help participants work confidently with business data, extract meaningful insights, and support better decision-making. This instructor-led, live training (online or onsite) is aimed at beginner-to-intermediate-level business professionals who wish to use modern analytical techniques and tools to interpret data, identify trends, and communicate insights effectively.

This instructor-led, live training in Ljubljana (online or onsite) is aimed at data scientists, data analysts, and business analysts who wish to clean and process data effectively.

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.

Informatica Data Quality for Analysts 10.2x is an introductory course designed to help business and data analytics professionals understand the importance of data quality and how to assess and improve the accuracy, completeness, validity, and consistency of data. This course provides an overview of the key steps in the Data Quality Process, including the use of Informatica products and features for analyzing data quality. It also covers essential skills for maintaining and improving data quality in the long term.

Topics includes:
• Introduction to data quality
• Overview of the Data Quality process
• Using Informatica Analytic Services to analyze data
• Working with reference data
• Using scorecards and rules to evaluate data
• Implementing business process refinement
• Using data stewardship to ensure data accuracy and consistency
• Creating dashboards and data visualizations
• Using data integration to enhance and update data
• Working with business rules to enforce accuracy and consistency
• Using data cleansing and enrichment to improve data

KNIME Analytics Platform is a leading open source option for data-driven innovation, helping you discover the potential hidden in your data, mine for fresh insights, or predict new futures. With more than 1000 modules, hundreds of ready-to-run examples, a comprehensive range of integrated tools, and the widest choice of advanced algorithms available, KNIME Analytics Platform is the perfect toolbox for any data scientist and business analyst.

This course for KNIME Analytics Platform is an ideal opportunity for beginners, advanced users and KNIME experts to be introduced to KNIME, to learn how to use it more effectively, and how to create clear, comprehensive reports based on KNIME workflows

This instructor-led, live training (online or onsite) is aimed at data professionals who wish to use KNIME to solve complex business needs.

It is targeted for the audience that doesn't know programming and intends to use cutting edge tools to implement analytics scenarios

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

• Install and configure KNIME.
• Build Data Science scenarios
• Train, test and validate models
• Implement end to end value chain of data science models

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course or to know more on this program, please contact us to arrange.

The "KNIME Analytical Platform" training offers a comprehensive overview of this free data analysis platform. The program covers data processing and analysis introduction, KNIME installation and configuration, building workflows, business model creation methodology, and data modeling. The course also discusses advanced data analysis tools, workflow import and export, tool integration, ETL processes, data exploration, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, Neo4j. The conclusion includes a discussion on reporting, BIRT integration, and the KNIME WebPortal.

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

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

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

This instructor-led, live training in Ljubljana (online or onsite) is aimed at data analysts who wish to use LibreOffice Calc to conduct many forms of data analysis (from basic to advanced), leveraging similar functionalities found in Excel and other spreadsheet software.

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

• Install the LibreOffice suite on any operating system.
• Understand the full features and functionalities available in LibreOffice Calc.
• Learn how to clean, validate, manipulate, and visualize data in Calc.
• Apply the various functions and tools in Calc to perform complex data analysis.
• Gain some tips and insights on conducting advanced data analysis.

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 Ljubljana (online or onsite) is aimed at business analysts and data analysts who wish to learn basic Spotfire Analyst techniques for analyzing data.

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

• Install and configure TIBCO Spotfire.
• Combine data from different databases.
• Visualize large datasets.
• Create and share complex dashboards.

This instructor-led, live training in Ljubljana (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 Ljubljana (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.

This Training Need Analysis course will give participants a best practice overview of the tools, tips, and techniques to deliver a world-class training function. Persons attending this programme will have a complete set of tools and case examples which can be easily applied back in the workplace.