Whether delivered online or in person, our instructor-led live Data Analytics (also known as Data Analysis) workshops utilize interactive discussion and practical exercises to demonstrate the programming languages and methodologies essential for effective data analysis.
We offer these programs as either "online live" or "onsite live" training. The online live option, often referred to as "remote live training," is facilitated through an interactive remote desktop session. Alternatively, onsite live training can be conducted at your local premises in Bhutan or at NobleProg's corporate training centers in Bhutan.
NobleProg – Your Local Training Partner
Bhutan, Thimphu - Classroom
near Le Méridien , Chorten Lam, Thimphu, Bhutan, 11001
Set in Thimphu, this classroom is well located in Chorten Lam with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Bhutan, Paro - Classroom
near Le Méridien Riverfront, thimphu hwy, Shaba, Paro, Bhutan, 12001
Set in Paro, this classroom is well located near Paro-Thimphu Highway around 4 km from the airport, and 7 km from Rinpung Dzong, and possess all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
This instructor-led live training in Bhutan (online or onsite) is designed for intermediate-level data scientists and engineers looking to employ Google Colab and Apache Spark for big data processing and analytics.
By the conclusion of this training, participants will be able to:
Establish a big data environment using Google Colab and Spark.
Process and analyse large datasets efficiently with Apache Spark.
Visualise big data in a collaborative environment.
This instructor-led live training in Bhutan (online or onsite) is designed for intermediate-level system administrators and monitoring professionals who want to effectively leverage Grafana for setting up monitoring solutions, managing dashboards, and creating alerts.
By the end of this training, participants will be able to:
Understand the difference between observability and monitoring.
Install and set up the Grafana server.
Configure and connect various data sources such as Prometheus, InfluxDB, and ElasticSearch.
Create, manage, and customize dashboards and charts.
Use variables and queries to create dynamic dashboards.
Set up notifications and alerts through Grafana.
Install and manage plugins to extend Grafana’s functionality.
Stratio is a comprehensive, data-centric platform that unifies big data capabilities, artificial intelligence, and governance into a single cohesive solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and sophisticated analytics within enterprise settings.
This instructor-led live training, available both online and onsite, is designed for intermediate-level data professionals aiming to master the Rocket and Intelligence modules in Stratio using PySpark. The curriculum emphasizes looping structures, user-defined functions, and advanced data logic.
Upon completion of this training, participants will be able to:
Navigate and effectively utilize the Stratio platform, specifically the Rocket and Intelligence modules.
Apply PySpark techniques for data ingestion, transformation, and analysis.
Utilize loops and conditional logic to manage data workflows and execute feature engineering tasks.
Develop and manage user-defined functions (UDFs) to enable reusable data operations in PySpark.
Course Format
Interactive lectures and group discussions.
Extensive exercises and practical practice sessions.
Hands-on implementation within a live laboratory environment.
Customization Options
To arrange a customized training session for this course, please reach out to us.
Adopting data-informed practices involves weaving relevant data, evidence, and analytical insights into the decision-making framework to elevate public sector results and ensure accountability.
This guided live training, available both online and in-person, is designed for public sector professionals who are at the early stages of using data for decision-making. It targets those involved in designing, evaluating, or managing government programmes who aim to strengthen their capacity to interpret, validate, and apply data to practical challenges.
Upon completion of this training, participants will be able to:
Grasp the concept of being data-informed (as opposed to purely data-driven or relying on intuition).
Locate and evaluate data pertinent to policy or service environments.
Formulate more effective queries for data analysts and interpret dashboards and reports proficiently.
Leverage data to justify, refine, or defend decisions within public service settings.
Course Structure
Interactive lectures and discussions.
Practical engagement with decision scenarios, datasets, and simulated policy briefs.
Guided exercises centred on real-world decision-making applications.
Customisation Options
For a bespoke training session tailored to your department's workflows or internal tools, please get in touch with us to arrange a session.
This instructor-led, live training in Bhutan (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.
This instructor-led, live training in Bhutan (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.
By the end of this training, participants will be able to:
Understand the importance of custom metrics for application monitoring.
Instrument applications to export custom metrics for Prometheus.
Create and configure dashboards in Grafana to visualize custom metrics.
Apply best practices for integrating monitoring into the development lifecycle.
Digital Intelligence refers to the capacity to comprehend and utilize digital tools, data, and systems to make well-informed decisions within the realm of public service delivery and governance.
This instructor-led, live training (available online or on-site) is designed for public sector professionals who have limited or emerging experience in digital intelligence. It is ideal for those working with data, digital tools, or service performance metrics who wish to enhance 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.
Data storytelling involves leveraging visual and narrative methods to convert intricate datasets into clear, engaging stories that drive insight and inspire action.
This instructor-led, live training (available online or onsite) is designed for public sector professionals who handle data but have limited or informal training in data storytelling. It aims to help them improve their ability to present data clearly and persuasively through narrative and visuals.
By the end of this training, participants will be able to:
Convert 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.
This instructor-led, live training in Bhutan (online or onsite) is designed for advanced-level DevOps and SRE professionals aiming to enhance their alerting and automation skills using Grafana and Prometheus.
Upon completion of this training, participants will be equipped to:
Create and manage sophisticated alerting rules in Prometheus.
Connect Prometheus Alertmanager with external tools via webhooks.
Automate alert responses to expedite issue resolution.
Leverage Grafana to effectively visualize and oversee alerts.
Upon completing this instructor-led, live training in Bhutan, participants will develop a practical, real-world understanding of Big Data, along with its associated technologies, methodologies, and tools.
Participants will have the chance to apply this knowledge through hands-on exercises. Group interaction and instructor feedback form a crucial part of the class experience.
The course begins with an introduction to the foundational concepts of Big Data, then moves on to the programming languages and methodologies employed for Data Analysis. Finally, we explore the tools and infrastructure that support Big Data storage, Distributed Processing, and Scalability.
ArcGIS Professional Plus is an advanced iteration of ArcGIS Pro, designed to provide extended capabilities for geospatial data analysis, 3D modeling, automation, and enterprise-level collaboration.
This instructor-led live training, available both online and onsite, is tailored for intermediate-level GIS professionals looking to enhance their expertise in spatial data analysis, workflow automation, and data sharing using ArcGIS Professional Plus tools.
Upon completing this training, participants will be able to:
Utilize ArcGIS Pro Plus tools for effective data visualization and analysis.
Develop 2D and 3D maps employing advanced symbology and geoprocessing techniques.
Automate workflows through ModelBuilder and Python scripting.
Seamlessly integrate ArcGIS with external data services and enterprise systems.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical practice.
Hands-on implementation within a live-lab environment.
Customization Options
To arrange a customized training session for this course, please get in touch with us.
This instructor-led live training in Bhutan (online or onsite) is designed for 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.
This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level to advanced-level GIS professionals and analysts who wish to learn how to effectively use ArcGIS for data visualization, spatial analysis, and geospatial project management.
By the end of this training, participants will be able to:
Navigate and utilize ArcGIS tools for geospatial data management.
Create and customize maps with layers and attributes.
Perform advanced spatial analysis and geoprocessing tasks.
This instructor-led, live training in Bhutan (available online or onsite) is intended for intermediate-level DevOps and SRE professionals who aim to create impactful dashboards and optimize their monitoring workflows using Grafana and Prometheus.
By the end of this training, participants will be able to:
Understand best practices for designing effective dashboards.
Create and configure advanced Grafana dashboard elements.
Leverage Grafana templating for dynamic and reusable dashboards.
Implement alerting mechanisms to enhance operational awareness.
This instructor-led, live training in Bhutan (online or onsite) is designed for advanced-level GIS professionals seeking to enhance their spatial analysis capabilities through ArcGIS Pro. The course focuses on comprehensive geostatistical analysis and the application of advanced 3D modeling techniques to support more effective decision-making and problem-solving in practical scenarios.
By the end of this training, participants will be able to:
Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
Utilize Python scripting for automation and complex data processing.
Apply spatial modeling for problem-solving in real-world scenarios.
Conduct geostatistical analysis for advanced data interpretation.
Integrate external data sources and leverage 3D spatial data analysis.
This instructor-led, live training in Bhutan (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:
This instructor-led live training in Bhutan (online or onsite) targets data analysts and anyone interested in learning how to integrate and utilize Tableau, Python, R, and SQL for data visualization and analysis.
By the end of this course, participants will be able to:
Perform data analysis using Python, R, and SQL.
Derive insights through data visualization with Tableau.
Make data-driven decisions to support business operations.
This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level IT support personnel who wish to provide robust support for ArcGIS Enterprise, addressing any anomalies or failures effectively.
By the end of this training, participants will be able to:
Understand the architecture and components of ArcGIS Enterprise.
Learn to install, configure, and manage ArcGIS Enterprise.
Gain skills in troubleshooting and resolving common issues.
Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments.
Master the techniques for backup, recovery, and performance optimization.
This instructor-led, live training in Bhutan (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 Bhutan (online or onsite) is designed for beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS.
By the end of this training, participants will be able to:
Understand the basic concepts of GIS and spatial data.
This instructor-led, live training in Bhutan (online or onsite) is aimed at beginner-level earth sciences and engineering professionals who wish to use Python for geospatial analysis in both ArcGIS and QGIS environments.
By the end of this training, participants will be able to:
Learn Python syntax and control structures for executing geospatial tasks efficiently.
Use Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS.
Manipulate and analyze vector data with Geopandas, Arcpy, and PyQGIS libraries.
Automate geospatial processes and workflows using Python scripting in ArcGIS and QGIS.
Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to streamline tasks.
Big Data and Advanced Analytics involves the application of sophisticated techniques and tools to analyse large, complex datasets, thereby generating actionable insights and supporting strategic decision-making.
This instructor-led, live training, available either online or onsite, is designed for 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 both 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.
Extensive exercises and practice sessions.
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 Bhutan (online or onsite) is designed for intermediate-level geographers who aim to deepen their expertise in spatial analysis, data management, and GIS applications.
By the conclusion of this training, participants will be able to:
Apply advanced spatial analysis techniques to solve complex geographical problems.
Manage large spatial databases and perform data quality control.
Create dynamic and interactive maps and visualizations for various applications.
Utilize programming and automation to streamline GIS workflows.
This instructor-led live training in Bhutan (online or onsite) is designed for intermediate-level data analysts who wish to learn and utilize the advanced features and components of Grafana for data visualization and analysis.
Upon completing this training, participants will be able to:
Develop a deep understanding of advanced Grafana concepts and components.
Utilize template variables and dynamic dashboards to improve data visualization.
Employ Grafana Query Language to execute complex queries.
Acquire best practices for scaling Grafana, optimizing performance, and ensuring high availability.
Insurance in the Digital Era provides a practical overview of how digital transformation is reshaping products, operations, and customer engagement within the insurance industry.
This instructor-led live training, available online or onsite, is designed for intermediate-level insurance professionals eager to understand and apply digital technologies, data-driven strategies, and innovation frameworks to modernize their insurance offerings and operational processes.
Upon completing this training, participants will be equipped to:
Articulate the role of AI, Big Data, IoT, and automation in contemporary insurance workflows.
Identify InsurTech trends and comprehend their impact on the insurance ecosystem.
Craft customer-centric strategies empowered by digital tools and data insights.
Implement data-driven approaches for effective risk management and decision-making.
Develop an innovation and change management strategy tailored for insurance companies.
Evaluate real-world case studies and adapt lessons learned into local initiatives.
Format of the Course
Interactive lectures and group discussions.
Case study analysis and collaborative workshops.
Practical exercises and action planning tailored to participants' organizations.
Course Customization Options
To request a customized training session for this course, please get in touch with us to arrange it.
Requirements Engineering (RE) serves as a critical discipline in software and systems development, centered on identifying, documenting, and managing the needs and constraints of stakeholders to guarantee project success.
This instructor-led, live training (available online or onsite) targets intermediate-level professionals eager to deepen their grasp of practical Requirements Engineering while preparing for the IREB CPRE – Foundation Level certification exam.
Upon completing this training, participants will be able to:
Comprehend and apply the core concepts and terminology outlined in the IREB CPRE Foundation syllabus.
Identify and elicit requirements using effective and context-appropriate techniques.
Model, document, and validate requirements for real-world projects.
Manage requirements changes, traceability, and prioritization throughout the project lifecycle.
Utilize Requirements Engineering tools and best practices to enhance communication and project outcomes.
Be fully prepared to take and pass the IREB CPRE – Foundation Level certification exam.
Format of the Course
Interactive lecture and discussion.
Case-based exercises and collaborative workshops.
Exam preparation sessions and practice questions.
Course Customization Options
Additional modules or industry-specific case studies can be added on request.
R is a widely used, open-source environment designed for statistical computing, data analytics, and graphics. This course introduces students to the R programming language, covering fundamental language features, essential libraries, and advanced concepts. Participants will learn advanced data analytics techniques and graphing methods using real-world datasets.
In the modern business landscape, data analytics serves as an essential asset. This course places a strong emphasis on cultivating practical, hands-on skills for effective data analysis. Our primary objective is to empower participants to provide evidence-based responses to key business inquiries:
What has occurred?
processing and interpreting data
creating insightful data visualizations
What is likely to occur?
predicting future performance
assessing the accuracy of forecasts
What ought to occur?
translating data into evidence-driven business decisions
This instructor-led, live training in Bhutan (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.
This instructor-led live training delivered in Bhutan (online or onsite) is targeted at developers and administrators who aim to utilize OpenSearch for distributed search and data analytics within a secure, unified system.
Upon completion of this training, participants will be able to:
Set up the essential development environment to commence building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
Understand the three methods (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch.
Learn to index data, create data streams, run queries, and streamline cross-cluster operations in OpenSearch.
Explore and utilize plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, Grafana, etc.) to optimize search performance while ensuring cluster security.
Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance.
This instructor-led, live training in Bhutan (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 course is designed to give delegates a comprehensive understanding of SQL usage across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and table joining techniques, participants will learn to perform data analysis operations directly within the database rather than relying on Microsoft Excel. Additionally, this knowledge supports the development of any IT system that utilizes relational databases.
This instructor-led, live training in Bhutan (online or onsite) is targeted at business analysts who want 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 instructor-led, live training in Bhutan (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects in ArcGIS.
By the end of this training, participants will be able to:
Output spatial data as visualizations.
Conduct geostatics on actual data.
Implement spatial data analysis, data processing, and mapping with ArcGIS.
This instructor-led, live training in Bhutan (online or onsite) is tailored for data scientists, data analysts, and business analysts who aim to clean and process data effectively.
By the end of this training, participants will be able to:
In the dynamic energy landscape, blending electrical transient analysis with accurate geographic data has become a critical strategic requirement. Currently, depending on disjointed data creates substantial operational vulnerabilities. This comprehensive 14-day program in Melbourne aims to connect the disciplines of electrical engineering and geospatial management effectively.
This instructor-led, live training is Bhutan (available onsite or remotely) and is designed for data analysts who wish to leverage Grafana for monitoring and visualizing data.
By the end of this training, participants will be able to:
Set up the necessary development environment to start creating visualizations in Grafana.
Set up Grafana for high availability.
Customize panels and dashboards with data.
Configure a reverse proxy for fast loading speeds.
This foundational course is designed to meet the needs of professionals involved in Requirements Engineering and Agile practices. It caters to individuals in roles such as project or IT management, domain experts, system analysts, software developers, Scrum Masters, Product Owners, and members of Agile organisations.
RE@Agile draws inspiration from both IREB’s perspective on Agile values and the Agile viewpoint on Requirements Engineering values. The content covers the classification and assessment of Requirements Engineering work products and techniques within an Agile context, as well as Agile work products and techniques in the context of Requirements Engineering. It also addresses key process elements in Agile product development and highlights the motivation for adopting Agile in development processes.
A significant focus area is the synergy between Requirements Engineering and Agile, including Agile principles related to Requirements Engineering and the Agile mindset in relation to core Requirements Engineering values.
The Examination
This course serves as the foundation for the RE@Agile Primer examination. Two types of examinations are available:
A proctored multiple-choice examination leading to an official RE@Agile Primer certificate. This exam is similar to the CPRE Foundation Level and Advanced Level multiple-choice examinations but has a duration of 40 minutes.
An online multiple-choice self-assessment with a confirmation of participation.
This advanced module, RE@Agile, is designed for Requirements Engineers and agile practitioners. It emphasizes mastering the application of Requirements Engineering practices and techniques within agile development workflows. Additionally, it covers the integration of agile concepts, techniques, and critical process elements into Requirements Engineering activities.
The Examination
This course aims to prepare candidates for the following Advanced Level certification exams:
RE@Agile - Practitioner (assessed via a multiple-choice examination)
RE@Agile - Specialist (assessed through a written assignment)
This three-day course is conducted as a live, instructor-led session, available either online (remote) or onsite (in a classroom setting).
Who is this course for:
The Advanced Requirements Management course is designed for professionals working in requirements engineering, business analysis, business engineering, organizational design, and related fields who wish to deepen their knowledge and skills in requirements management.
Examination:
Additional exam fees may apply when relevant.
The “IREB Certified Professional for Requirements Engineering – Advanced Level (Management)” exam includes the following components:
CPRE Advanced Level (Management) – Practitioner
To obtain the Requirements Management - Practitioner certificate, candidates must take a multiple-choice exam.
CPRE Advanced Level (Management) – Specialist
To obtain the Requirements Management - Specialist certificate, candidates must complete a written assignment.
This course is offered as a live, instructor-led session, available either online (remote) or onsite (in a classroom setting).
The Certified Professional for Requirements Engineering (CPRE) credential is designed for professionals engaged in Requirements Engineering, Business Analysis, and Testing. The curriculum covers the core concepts, methodologies, and techniques within the Requirements Engineering domain.
The certification scheme is established by the IREB, and the CPRE examination can be taken through approved certification bodies.
Who is this course for?
This course is suitable for anyone involved in Requirements Engineering, Business Analysis, and software or systems development. The Foundation Level covers the elicitation of requirements along with appropriate documentation, requirements verification and validation, as well as their management throughout the entire product lifecycle.
By the end of this training, participants will be able to:
understand the terminology used in Requirements Engineering, Business Analysis, and Requirements Management.
comprehend the fundamental techniques and methods of Requirements Engineering and their practical applications.
familiarize themselves with the most widely accepted notations for requirements.
The KNIME Analytics Platform stands as a premier open-source solution for data-driven innovation, empowering users to uncover hidden potential within their data, extract fresh insights, or forecast future trends. Equipped with over 1,000 modules, numerous pre-configured examples, a robust suite of integrated tools, and the broadest selection of advanced algorithms, the KNIME Analytics Platform serves as an indispensable toolkit for data scientists and business analysts alike.
This course on the KNIME Analytics Platform offers an excellent opportunity for beginners, experienced users, and KNIME specialists to familiarize themselves with the platform, master its efficient use, and learn to generate clear, comprehensive reports using KNIME workflows.
This instructor-led live training, available either online or onsite, is designed for data professionals aiming to leverage KNIME to address complex business challenges.
It is specifically tailored for audiences who may not have a programming background but wish to utilize cutting-edge tools to implement analytics scenarios.
Upon completing this training, participants will be capable of:
Installing and configuring KNIME.
Developing Data Science scenarios.
Training, testing, and validating models.
Implementing the end-to-end value chain for data science models.
Course Format
Interactive lectures and discussions.
Extensive exercises and practical application.
Hands-on implementation within a live laboratory environment.
Course Customization Options
To request customized training for this course or to obtain further information about the program, please contact us to arrange your session.
The "KNIME Analytics Platform" training offers a comprehensive overview of this free data analysis platform. The program includes an introduction to data processing and analysis, KNIME installation and configuration, building workflows, methodology for creating business models and data modeling. The course also covers advanced data analysis tools, workflow import and export, tool integration, ETL processes, data mining, visualization, extensions, and integrations with tools such as R, Java, Python, Gephi, and Neo4j. The conclusion includes discussions on reporting, integration with BIRT, and KNIME WebPortal.
As your delegates prepare for advanced Data Analytics degrees overseas, they encounter a dual challenge: mastering technical coding and grasping how to convert data into tangible business value. This intensive 5.5-hour program is designed to bridge both gaps simultaneously. By integrating Python's technical foundations with an introductory business analytics framework, we ensure your team begins their academic journey as leaders, not merely learners.
A Geographic Information System (GIS) is a framework built for capturing, storing, manipulating, analyzing, managing, and presenting spatial or geographic data. The term GIS is occasionally used to denote Geographic Information Science (GIScience), referring to the academic field dedicated to studying these systems, which forms a significant part of the broader discipline of geoinformatics.
QGIS operates as a GIS software solution, enabling users to analyze and edit spatial data, as well as compose and export graphical maps. It supports both raster and vector layers; vector data is stored as point, line, or polygon features. The software accommodates multiple raster image formats and can georeference images. In summary, it empowers users to create, edit, visualize, analyze, and publish geospatial information across Windows, Mac, Linux, and BSD platforms.
In the first phase, this program introduces the QGIS interface for general usage. The second phase covers PyQGIS—the Python libraries of QGIS that enable the integration of GIS functionalities into your Python code or applications. This allows you to even develop your own Python Plugins tailored to specific GIS functionalities.
This instructor-led, live training in Bhutan (online or onsite) is designed for individuals who wish to understand requirements analysis and execute it efficiently and accurately by utilizing analysis techniques for their projects.
Upon completing this training, participants will be able to:
recognise various types of requirements.
comprehend the core concepts and activities involved in requirements analysis.
gain familiarity with the requirements analysis methodology.
leverage different requirements analysis techniques to their benefit.
organise requirements effectively to facilitate efficient communication with architects and developers via an iterative requirement gathering process.
This instructor-led, live training in Bhutan (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 Bhutan (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 course on Training Needs Analysis provides participants with a comprehensive overview of best practices, including the tools, tips, and techniques required to establish a world-class training function. Attendees will receive a complete toolkit along with case study examples that can be seamlessly integrated into their professional environments.
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Testimonials (16)
Jasperstudio can be used for pixel perfect documentation. There would be limitations as it cannot be used for reporting
Ethan Koh Ree Haur - MSIG Asia Pte Ltd
Course - JasperReports
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
Course - QGIS for Geographic Information System
Practical and hands on labs on report developmemt using Power BI
The labs were excellent and the trainer offered very good hands on sessions
Sinzala Sichaanji - Bank of Zambia
Course - Mastering Power Platform: Power Apps, Power Automate, DataVerse, Power BI, and Power Virtual Agents
personalised to our understanding and data
Vincent Long - ASSMANG PTY LTD
Course - Business Intelligence with SSAS
Practice in using python is really helpful to understand the basics.
Wildana Ramadhani - OJK
Course - Foundations of Data & Business Analytics
the practical part
Daniela Mirevska
Course - Business Process Modelling in BPMN 2.0
We did quite complex examples, so we could get a feeling of how the real work with Power Automate Desktop can look like in the real world scenario.
Michal Strnad - MicroNova AG
Course - Microsoft Flow/Power Automate
Smart work reporting criteria
Siyabonga Kubeka - NTCSA
Course - Power BI for Business Analysts
The teacher clarification of the teacher about the subjects
Josildo Zangue - EMIS - Empresa Interbancaria de Servicos, S.A
Course - Business Analysis
hands on exercise
shuzhen hong
Course - AI-Driven Data Analysis with TIBCO Spotfire X
What I like the most about the training was the detailed discussion and the Exercises.
Kevin Roi Rimpos - Century Pacific Food Inc.
Course - Business Process Re-engineering for Competitive Advantage
It felt very well paced and Yashank was a great trainer!
Rebekah Kane - OVO
Course - Mixpanel
The trainer shared his knowledge and led great atmosphere.
Agnieszka Dubanska - Narodowy Fundusz Zdrowia
Course - Modelowanie procesów biznesowych z wykorzystaniem UML i BPMN
information about report, kind of costs, details about that in accounting
Konrad Nowak - Solvti Sp. z o. o.
Course - Business Intelligence Reporting Tool (BIRT)
The explanations and interactivity of the trainer, he really brought the subject well; and even-though I was probably not experienced enough, I did learn a lot from it!
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