Online or onsite, instructor-led live Data Analysis (Analysis of Data or Data Analytics) training courses demonstrate through discussion and hands-on practice the programming languages and methodologies used to perform Data Analysis.
Data Analysis training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Data Analysis training can be carried out locally on customer premises in Nepal or in NobleProg corporate training centers in Nepal.
NobleProg -- Your Local Training Provider
Nepal, Kathmandu - Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg 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.
Nepal, Thamel, KTM - Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, 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.
This instructor-led live training in Nepal (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.
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 Nepal (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 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.
Upon completing this instructor-led, live training in Nepal, 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 Nepal (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 Nepal (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 Nepal (online or onsite) is tailored for data engineers and analysts seeking beginner to intermediate-level expertise in using AWS Glue to construct data pipelines.
By the conclusion of this training, participants will be capable of:
This instructor-led, live training in Nepal (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 Nepal (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 Nepal (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 Nepal (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 Nepal (online or onsite) targets analysts who wish to use TM1 to analyze and customize reports and templates for database data.
Upon completing this training, participants will be equipped to:
Analyze data using IBM Planning Analytics.
Create customized views of database data.
Develop reports and forms that interface with TM1.
This instructor-led, live training in Nepal (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 live, instructor-led training in Nepal (available online or onsite) targets intermediate database administrators, SQL developers, and data analysts looking to boost their SQL proficiency by mastering Analytic Functions.
By the conclusion of this training, participants will be able to:
Comprehend the concept and value of Analytic Functions.
Employ diverse Analytic Functions to resolve complex analytical problems.
Integrate Analytic Functions with other SQL features for comprehensive data analysis.
Optimize queries to achieve better performance using Analytic Functions.
This instructor-led, live training in Nepal (online or onsite) is designed for beginner-level professionals keen on mastering the fundamental concepts and tools of ArcGIS.
Upon completing this training, participants will be able to:
This instructor-led, live training in Nepal (online or on-site) is intended for data analysts and data scientists who aim to use the MongoDB Aggregation Framework for data analysis, simplifying both complex operations and aggregation pipelines.
By the end of this training, participants will be able to:
Install and set up MongoDB for data analysis purposes.
Comprehend the core concepts and stages of the MongoDB Aggregation Framework.
Gain knowledge of the fundamental structure, syntax, and operations required for aggregation.
Acquire skills to manage advanced operations within aggregation.
Utilize various optimization tools and techniques to enhance aggregation performance.
This instructor-led, live training in Nepal (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.
This instructor-led, live training in Nepal (online or onsite) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for collecting, organizing, managing, and analyzing geographic information.
By the end of this training, participants will be able to:
Understand the fundamentals of ArcMap and ArcGIS.
Collect, organize, manage, and analyze geographic information on the social and archaeological elements.
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 Nepal (online or onsite) targets data analysts and individuals wishing to utilize SPSS Modeler for data mining activities.
By the end of this training, participants will be able to:
Understand the fundamentals of data mining.
Learn how to import data and assess its quality with the Modeler.
Efficiently develop, deploy, and evaluate data models.
By completing this instructor-led, live training in Nepal, participants will acquire a practical, real-world understanding of Big Data, along with its associated technologies, methodologies, and tools.
Attendees will have the chance to apply this knowledge through hands-on exercises. The course places significant emphasis on group interaction and feedback from the instructor.
The curriculum begins by introducing the fundamental concepts of Big Data, then moves on to the programming languages and methods employed for Data Analysis. It concludes with a discussion on the tools and infrastructure that support Big Data storage, Distributed Processing, and Scalability.
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.
This course is designed for analysts, researchers, scientists, graduates, students, and anyone keen on mastering statistical analysis within Microsoft Excel.
Learning Objectives
The primary aim is to enhance your proficiency in both Excel and statistical concepts, thereby boosting the efficiency and effectiveness of your work or research projects.
Participants will learn to utilize the Analysis ToolPak, apply statistical functions, and execute fundamental statistical procedures. The course also addresses Excel's limitations and provides strategies to work around them.
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 Nepal (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 in Nepal (online or onsite) is designed for data scientists who wish to use IBM Cloud Pak to prepare data for 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 Nepal (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 delivered in Nepal (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 Nepal (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 Nepal (online or onsite) is designed for data scientists and software engineers who want to leverage Dask within the Python ecosystem to build, scale, and analyze large datasets.
By the end of this training, participants will be able to:
Set up the necessary environment to begin building big data processing workflows 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 when handling large datasets.
This course is designed to provide a comprehensive understanding of SQL application across various database platforms, including Oracle, SQL Server, and MS Access. By mastering analytic functions and techniques for joining tables, participants will learn to shift data analysis operations from MS Excel to the database layer. This approach not only streamlines data processing but also supports the development of IT systems leveraging relational databases.
This instructor-led live training in Nepal (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 instructor-led, live training in Nepal (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 Nepal (online or on-site) is tailored for GIS analysts looking to automate repetitive tasks within GIS processes.
Upon completing this training, participants will be capable of:
Developing GIS applications using Python and ArcGIS tools.
Utilizing the ArcPy package from ArcGIS for development with Python.
Leveraging ArcGIS modules for map automation through Python object classes.
Data Analytics for Business Professionals is a practical, hands-on training programme designed to empower participants to work confidently with business data, extract valuable insights, and facilitate informed decision-making. This instructor-led, live training (available online or onsite) caters to beginner-to-intermediate level business professionals keen on leveraging contemporary analytical methods and tools to interpret data, detect trends, and communicate findings effectively.
This instructor-led, live training in Nepal (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:
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.
This instructor-led live training in Nepal (available online or onsite) is designed for data analysts who wish to use LibreOffice Calc to conduct various forms of data analysis (ranging from basic to advanced), utilising functionalities similar to those found in Excel and other spreadsheet software.
Upon completing this training, participants will be able to:
Install the LibreOffice suite on any operating system.
Grasp the full range of features and functionalities offered by LibreOffice Calc.
Learn how to clean, validate, manipulate, and visualise data within Calc.
Apply various functions and tools in Calc to conduct complex data analysis.
Acquire valuable tips and insights for performing advanced data analysis.
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.
This instructor-led live training conducted in Nepal (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:
This instructor-led, live training in Nepal (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 Nepal (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)
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!
Pieter Bruynseels - Spot Buy Center BV
Course - Design Patterns
Flow , vibe and topic on presentation
Lukasz Kowalczyk - Allegro Sp. z o.o.
Course - Google Gemini AI for Data Analysis
Doing Exercise
Joe Pang - Lands Department, Hong Kong
Course - QGIS for Geographic Information System
a multitude of points
Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R
training vibes, trainer knowledge, and insightful materials
Rizma Aulia Rachman - Lembaga Penjamin Simpanan
Course - Big Data and AI in Connection to Bank Examination Process
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