Instructor-led Data Analysis training courses, available both online and onsite, provide comprehensive instruction through discussion and hands-on practice. These courses cover the programming languages and methodologies essential for performing data analysis.
Data Analysis training can be conducted as "online live training" or "onsite live training." Online live training, also known as "remote live training," is facilitated through an interactive remote desktop environment. Onsite live training can be arranged at customer premises in Colorado or at NobleProg corporate training centers in Colorado.
NobleProg serves as a trusted provider of local training solutions for government and private sector organizations.
Denver, CO - Denver Place
999 18th Street, Suite 3000, Denver, United States, 80202
The venue is located in the prestigious Denver Place complex at 999 18th Street in downtown Denver’s financial district. It is easily accessible by car via I‑25 or I‑70 with secure underground parking available. From Denver International Airport (DEN), take Peña Blvd to I‑70 West to I‑25 South, then exit onto 18th Street—taxi or rideshare typically takes about 30 minutes. Public transit users can take RTD bus routes along 17th or 18th Street or ride the light rail to nearby 18th & California Station, followed by a brief walk to the lobby.
CO, Denver - DTC Corporate Center III
7900 East Union Avenue, Suite 1100, Denver, United States, 80237
The venue is located in Denver Tech Center at 7900 East Union Avenue, Suite 1100, on the 11th floor of Corporate Center III. It’s easily reachable by car via I‑25 or I‑225 with secure underground parking available in the building. From Denver International Airport (DEN), take Peña Blvd and I‑70 West to I‑225 South, then exit onto Union Avenue—taxi or rideshare typically takes about 25 minutes. Public transit users can take RTD buses along Union Avenue, with stops just outside the building, followed by a brief walk into the lobby.
This instructor-led, live training (available online or onsite) is designed for intermediate-level data scientists and engineers who wish to utilize Google Colab and Apache Spark for big data processing and analytics.
By the end of this training, participants will be able to:
- Configure a big data environment using Google Colab and Apache Spark.
- Efficiently process and analyze large datasets with Apache Spark.
- Visualize big data in a collaborative setting.
- Integrate Apache Spark with cloud-based tools for government.
Stratio is a data-centric platform that integrates big data, AI, and governance into a single solution. Its Rocket and Intelligence modules facilitate rapid data exploration, transformation, and advanced analytics in enterprise environments.
This instructor-led, live training (online or onsite) is designed for intermediate-level data professionals who aim to effectively utilize the Rocket and Intelligence modules in Stratio 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 the Rocket and Intelligence modules.
- Apply PySpark for 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.
- Extensive exercises and practice sessions.
- Hands-on implementation in a live-lab environment.
**Course Customization Options for Government**
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 enhance public sector outcomes and accountability.
This instructor-led, live training (online or onsite) is designed for public sector professionals with limited or emerging experience in using data for decision-making. It is tailored for those who design, evaluate, or manage government programs and wish to improve their ability to interpret, validate, and apply data to real-world decisions.
By the end of this training, participants will be able to:
Understand the distinction between being data-informed (versus data-driven or intuition-based).
Identify and assess data relevant to a policy or service context.
Formulate more effective questions for data analysts and interpret dashboards and reports accurately.
Utilize data to justify, refine, or defend decisions in public service contexts.
Format of the Course
Interactive lectures and discussions.
Hands-on exercises using decision scenarios, data sets, and mock policy briefs.
Guided activities focused on practical decision-making use cases.
Course Customization Options
To request a customized training for government based on your department's workflows or internal tools, please contact us to arrange.
This instructor-led, live training in [location] (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 for government.
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 capability to understand and utilize digital tools, data, and systems to make informed decisions in the context of public service delivery and governance.
This instructor-led, live training (available online or onsite) is designed for government professionals with limited or emerging experience in digital intelligence who work with data, digital tools, or service performance metrics and 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:
Grasp the fundamentals of digital intelligence and its application in public sector work.
Utilize digital tools to gather, visualize, and communicate actionable insights.
Evaluate the digital maturity of their team or department.
Create a roadmap for improving digital capacity and data-driven practices.
Format of the Course
Interactive lecture and discussion.
Practical use of digital tools and dashboard mockups.
Guided exercises centered on real-world public service scenarios.
Course Customization Options
To request a customized training for government 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 designed for public sector professionals who work with data and have limited or informal training in data storytelling. The goal is to enhance their ability to present data clearly and persuasively through narrative and visuals for government applications.
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 [location] will gain a practical, real-world understanding of Big Data and its related technologies, methodologies, and tools for government use.
The course provides opportunities for participants to apply this knowledge through hands-on exercises. Group interaction and instructor feedback are integral components of the class.
The curriculum begins with an introduction to fundamental concepts of Big Data, then progresses to the programming languages and methodologies used in data analysis. Finally, we explore the tools and infrastructure that enable Big Data storage, distributed processing, and scalability for government applications.
This instructor-led, live training in [location] (online or onsite) is aimed at beginner-level data engineers, analysts, and scientists who wish to understand how to use dbt Cloud for managing 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.
- Utilize the dbt Cloud interface to schedule and execute data transformations.
- Collaborate effectively with team members on projects.
- Deploy dbt projects to a production environment.
- Debug and troubleshoot issues within dbt projects.
This training is designed to enhance the skills of government employees and contractors for government, ensuring they can efficiently manage data warehousing and transformation tasks.
This instructor-led, live training in [location] (online or onsite) is designed for government GIS professionals and analysts at all levels who wish 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.
- Automate workflows using ModelBuilder and Python for government applications.
This instructor-led, live training (online or onsite) is designed for government data engineers and analysts who wish to acquire beginner to intermediate-level knowledge of using AWS Glue to establish a data pipeline.
By the end of this training, participants will be able to:
- Understand the foundational principles of AWS Glue.
- Set up an AWS Glue pipeline for government use.
- Configure AWS Glue crawlers and jobs.
- Utilize AWS Glue transformations effectively.
This instructor-led, live training in [location] (online or onsite) is designed for government and beginner to intermediate-level data analysts and business professionals who wish to perform complex data analysis tasks more intuitively using Google Gemini AI across various sectors.
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 actionable insights.
- Create compelling data visualizations for government use.
- Communicate data-driven insights effectively.
This instructor-led, live training in [location] (online or onsite) is designed for government data analysts and individuals interested in learning how to use and integrate Tableau, Python, R, and SQL for data visualization and analysis.
By the end of this training, participants will be able to:
- Conduct data analysis using Python, R, and SQL.
- Generate insights through data visualization with Tableau.
- Make data-driven decisions to enhance business operations for government.
This instructor-led, live training (online or onsite) is aimed at analysts who wish to utilize TM1 to analyze and customize reports and templates for data in a database for government use.
By the end of this training, participants will be able to:
- Analyze data using IBM Planning Analytics.
- Create customized views of the data within a database.
- Develop reports and forms that interface with TM1.
This instructor-led, live training in Colorado (online or onsite) is designed to assist participants in preparing for the Microsoft Certified: Data Scientist Associate certification exam (DP-100).
The course provides an overview of data science fundamentals and machine learning techniques, with a focus on their implementation using Microsoft Azure Machine Learning. Participants will gain hands-on experience in data preparation, building and training machine learning models, and deploying these models to the cloud. Additionally, the course covers methods for evaluating model performance and conducting feature engineering, ensuring that participants are well-prepared for practical applications in various sectors, including those for government.
This instructor-led, live training in Colorado (online or onsite) is designed for intermediate-level data engineers who aim to become proficient in leveraging Azure Synapse Analytics for a variety of data processing, analytics, and visualization tasks.
By the end of this training, participants will be able to:
Comprehend the fundamental concepts, architecture, and components of Azure Synapse Analytics.
Establish, configure, and manage scalable data warehouses using Azure Synapse.
Acquire expertise in ingesting, transforming, and loading data (ETL) from diverse sources into Azure Synapse.
Enhance query performance, ensure data security, and integrate Azure Synapse with Power BI and other tools to visualize data and disseminate insights effectively for government use cases.
This instructor-led, live training in Colorado (online or onsite) is designed for intermediate-level database administrators, SQL developers, and data analysts who seek to enhance their SQL skills by mastering the use of Analytic Functions.
By the end of this training, participants will be able to:
- Comprehend the concept and significance of Analytic Functions.
- Utilize various Analytic Functions to address complex analytical challenges.
- Integrate Analytic Functions with other SQL features for thorough data analysis.
- Optimize queries for improved performance using Analytic Functions.
This training is tailored to align with the needs of professionals in the public sector, ensuring that participants are equipped with skills that enhance efficiency and accuracy in data management for government.
This instructor-led, live training (online or onsite) is aimed at data analysts and data scientists who wish to use the MongoDB Aggregation Framework for government 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 the basic structure, syntax, and operations for aggregation.
- Manage advanced operations in aggregation.
- Apply optimization tools and techniques to enhance aggregation performance.
This instructor-led, live training in Colorado (online or onsite) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for government 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 for government.
Collect, organize, manage, and analyze geographic information related to social and archaeological elements.
Big Data and Advanced Analytics involves the application of sophisticated techniques and tools to analyze large, complex datasets, providing actionable insights and strategic decision-making capabilities.
This instructor-led, live training (available online or onsite) is designed for advanced-level data professionals who aim to leverage cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics in government and other sectors.
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.
- Utilize distributed computing frameworks for real-time analytics and data streaming.
- Integrate big data analytics into business intelligence and decision-making systems for government.
**Format of the Course**
- Interactive lectures and discussions
- Extensive exercises and practice sessions
- Hands-on implementation in a live-lab environment
**Course Customization Options**
- To request a customized training program for this course, please contact us to arrange.
The objective of the course is to assist participants in providing evidence-based responses to key questions:
### What Has Happened?
- Processing and analyzing data
- Creating informative data visualizations
### What Will Happen?
- Forecasting future performance
- Evaluating forecasts
### What Should Happen?
- Converting data into evidence-based decisions for government
- Optimizing processes
This instructor-led, live training in [location] (online or onsite) is designed for government 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 using the Modeler.
- Develop, deploy, and evaluate data models efficiently for government applications.
Participants who complete this instructor-led, live training in [location] will gain a practical, real-world understanding of Big Data and its related technologies, methodologies, and tools for government applications.
Participants will have the opportunity to apply this knowledge through hands-on exercises. Group interaction and instructor feedback are integral components of the class.
The course begins with an introduction to fundamental concepts of Big Data, then progresses into the programming languages and methodologies used for data analysis. Finally, we explore the tools and infrastructure that enable Big Data storage, distributed processing, and scalability for government use.
R is a widely used, open-source environment for statistical computing, data analytics, and graphical representation. This course introduces the R programming language to participants, covering language fundamentals, libraries, and advanced concepts. It includes advanced data analytics and graphing techniques using real-world data.
This training is designed for analysts, researchers, scientists, graduates, students, and any other individuals interested in enhancing their ability to conduct statistical analysis using Microsoft Excel.
Course Objectives
The course aims to enhance your proficiency with Excel and statistical methods, thereby improving the effectiveness and efficiency of your work or research. Participants will learn how to utilize the Analysis ToolPak in Microsoft Excel, understand various statistical functions, and perform fundamental statistical procedures.
Additionally, the course will address the limitations of Excel and provide strategies for overcoming these constraints, ensuring that users can leverage Excel more effectively for government and other critical tasks.
Data analytics is a critical tool in the public sector today. This course will focus on developing practical, hands-on skills for government data analysis. The aim is to equip participants with the ability to provide evidence-based answers to key questions:
What has happened?
processing and analyzing data
creating informative data visualizations
What will happen?
forecasting future performance for government operations
evaluating the accuracy of forecasts
What should happen?
transforming data into evidence-based decisions for government
This instructor-led, live training in Colorado (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 for government applications.
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 for government workflows.
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 to ensure compliance with public sector governance standards.
This instructor-led, live training (online or onsite) is designed for HR professionals who aim to utilize analytical methods to enhance organizational performance. The course covers both qualitative and quantitative approaches, including empirical and statistical techniques.
Format of the Course
Interactive lectures and discussions.
Extensive exercises and practical applications.
Course Customization Options
For government agencies or organizations requiring a tailored training experience, please contact us to arrange customized sessions.
This instructor-led, live training (online or onsite) is designed for data scientists who wish to utilize IBM Cloud Pak for preparing data for use in artificial intelligence solutions.
By the end of this training, participants will be able to:
- Install and configure Cloud Pak for Data.
- Unify the processes of collecting, organizing, and analyzing data.
- Integrate Cloud Pak for Data with a range of services to address common business challenges.
- Implement workflows that facilitate collaboration among team members on the development of AI solutions for government.
In this instructor-led, live training in Colorado (onsite or remote), participants will learn how to integrate the capabilities of Python with Excel for government use.
By the end of this training, participants will be able to:
- Install and configure packages that facilitate the integration of Python and Excel.
- Read, write, and manipulate Excel files using Python.
- Call Python functions directly from Excel.
This instructor-led, live training in Colorado (online or onsite) is designed for technical personnel who aim to acquire a practical understanding of available cloud solutions, the data analysis processes necessary for working with data in the cloud, and hands-on experience using 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, specifically tailored for government use.
- Understand the different structures, modeling approaches, and data warehouse designs used to store, manage, and access Big Data in a public sector context.
- Apply tools and techniques to clean data in preparation for analysis.
- Build reporting and analytics solutions based on both on-premise and cloud data, ensuring compliance with government standards.
- Integrate data analytics solutions with a data warehouse to enhance decision-making processes.
- Mitigate data security risks and ensure data privacy in accordance with government regulations.
This instructor-led, live training in Colorado (online or onsite) is designed for government developers and administrators who wish to utilize OpenSearch to conduct distributed search and data analytics within a unified and secure system.
By the end of this training, participants will be able to:
- Set up the required development environment to begin 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 how to index data, create data streams, execute queries, and manage cross-cluster operations in OpenSearch.
- Explore and utilize plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, Grafana, etc.) to enhance the search experience while maintaining secure clusters.
- Use OpenSearch Dashboards to centralize data management, visualization, logging, monitoring, and maintenance for government applications.
This instructor-led, live training (online or onsite) is designed for individuals who wish to acquire sufficient Python skills to effectively analyze and interpret data from various sources, such as sales records, traffic analytics, and customer interactions.
By the end of this training, participants will be able to:
Install and configure the required software, libraries, and development environment necessary for writing Python code for data analysis.
Analyze data from diverse sources, including Excel spreadsheets, CSV files, JSON documents, and databases.
Clean and preprocess data to enhance its quality and usability before performing analysis.
Conduct basic statistical analyses to derive meaningful insights.
Create reports that present data in a clear and actionable format, ranging from numerical summaries to visualizations.
Extract valuable insights from data, including performance trends and areas requiring attention.
This training is tailored to support the unique needs of public sector workflows, ensuring alignment with governance and accountability standards for government.
This instructor-led, live training (online or onsite) is aimed at software developers, managers, and business analysts who wish to use big data systems to store and retrieve large amounts of data for government purposes.
By the end of this training, participants will be able to:
Efficiently query large datasets.
Understand how big data systems manage data storage and retrieval.
Leverage the latest big data systems available for government use.
Transform data from various systems into reporting formats.
Learn to write SQL queries in:
MySQL
Postgres
Hive Query Language (HiveQL/HQL)
Redshift
Format of the Course
Interactive lecture and discussion.
Extensive exercises and practical activities.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for government-specific needs, please contact us to arrange.
This instructor-led, live training in Colorado (online or onsite) is designed for data scientists and software engineers who wish to utilize Dask within the Python ecosystem to build, scale, and analyze large datasets for government.
By the end of this training, participants will be able to:
- Set up the necessary environment to begin building big data processing systems using Dask and Python.
- Explore the features, libraries, tools, and APIs available in Dask.
- Understand how Dask enhances parallel computing capabilities in Python.
- Learn techniques for scaling the Python ecosystem (including Numpy, SciPy, and Pandas) using Dask.
- Optimize the Dask environment to ensure high performance when handling large datasets.
The objective of this course is to provide a comprehensive understanding of using SQL for various databases, including Oracle, SQL Server, and MS Access. Participants will gain insight into analytic functions and the techniques for joining different tables within a database. This knowledge will enable them to shift data analysis tasks to the database level, rather than relying on applications like MS Excel. Such skills are essential for developing any IT system that utilizes relational databases, particularly for government operations where efficiency and data integrity are paramount.
This instructor-led, live training in Colorado (online or onsite) is designed for government business analysts who wish to learn advanced Spotfire Analyst techniques for data analysis.
By the end of this training, participants will be able to:
Share visualizations among team members to enhance collaboration and decision-making processes.
Implement role-based access controls to secure software usage in accordance with government policies.
Create specialized visualizations, including map charts, to better represent data for government reporting.
Integrate statistical computing languages such as R with Spotfire to leverage advanced analytics capabilities for government projects.
This instructor-led, live training (conducted online or onsite) is designed for field ecologists and conservation managers who aim to develop spatial data projects using ArcGIS.
By the end of this training, participants will be able to:
- Generate visualizations from spatial data.
- Perform geostatistical analyses on real-world datasets.
- Execute spatial data analysis, data processing, and mapping with ArcGIS.
- Analyze spatial data for various projects in ArcGIS, ensuring alignment with public sector workflows and governance standards for government.
This course focuses on the application of data analytic techniques and methodologies to address challenges in government operations using R, Python, and SQL. It highlights the alignment of governmental requirements with data analytics, treating these tools as essential resources for addressing queries and issues for government.
Professionals in decision-making roles, including managers and executives, who are looking to leverage data for informed decisions. Data specialists, marketing professionals, and business consultants aiming to enhance their data interpretation and storytelling skills for government and other public sector applications.
Data Analysis for Government Users is a practical, hands-on training program designed to help participants work confidently with government data, extract meaningful insights, and support informed decision-making. This instructor-led, live training (available online or onsite) is tailored for beginner-to-intermediate-level professionals in the public sector who wish to utilize modern analytical techniques and tools to interpret data, identify trends, and communicate findings effectively within their agencies.
This instructor-led, live training in [location] (online or onsite) is designed for government data scientists, data analysts, and business analysts who aim to enhance their skills in effectively cleaning and processing data.
By the end of this training, participants will be able to:
- Develop a comprehensive data cleaning strategy.
- Utilize effective tools for data cleaning.
- Achieve results more efficiently.
- Learn and apply best practices in data cleaning for government.
The Informatica Data Quality for Analysts 10.2x course is an introductory program designed to assist business and data analytics professionals in understanding the critical importance of data quality. This course emphasizes how to assess and enhance the accuracy, completeness, validity, and consistency of data. It provides a comprehensive overview of the key steps involved in the Data Quality Process, including the utilization of Informatica products and features for thorough data analysis. Additionally, it covers essential skills necessary for maintaining and improving data quality over time.
Topics include:
• Introduction to data quality
• Overview of the Data Quality process
• Using Informatica Analytic Services to analyze data
• Working with reference data
• Utilizing scorecards and rules to evaluate data
• Implementing business process refinement
• Ensuring data accuracy and consistency through data stewardship
• Creating dashboards and data visualizations
• Enhancing and updating data using data integration
• Enforcing accuracy and consistency with business rules
• Improving data through cleansing and enrichment
This course is tailored to align with the needs of public sector professionals, providing them with the tools and knowledge necessary to enhance data quality for government operations.
The KNIME Analytics Platform is a premier open-source solution for data-driven innovation, enabling users to uncover the potential within their data, extract valuable insights, and forecast future trends. Featuring over 1,000 modules, hundreds of ready-to-run examples, an extensive array of integrated tools, and a broad selection of advanced algorithms, KNIME Analytics Platform is an indispensable resource for any data scientist or business analyst.
This training course for the KNIME Analytics Platform provides an excellent opportunity for beginners, advanced users, and KNIME experts to familiarize themselves with KNIME, enhance their usage proficiency, and create clear, comprehensive reports based on KNIME workflows.
This instructor-led, live training (online or onsite) is designed for data professionals who wish to leverage KNIME to address complex business challenges.
It is particularly suitable for individuals without a programming background who aim to use advanced tools to implement sophisticated analytics scenarios.
By the end of this training, participants will be able to:
Install and configure KNIME.
Develop data science scenarios.
Train, test, and validate models.
Implement the entire value chain of data science models.
Format of the Course
Interactive lectures and discussions.
Extensive exercises and practice sessions.
Hands-on implementation in a live-lab environment.
Course Customization Options
To request a customized training for government or to learn more about 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 Colorado (online or onsite) is aimed at data scientists who wish to program in Python and R for KNIME for government applications.
By the end of this training, participants will be able to:
Plan, build, and deploy machine learning models in KNIME for government projects.
Make data-driven decisions for operational improvements.
Implement end-to-end data science projects within public sector workflows.
This instructor-led, live training (online or onsite) is designed for government data analysts who wish to use LibreOffice Calc to conduct a wide range of data analyses, from basic to advanced, leveraging functionalities similar to those 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 range of features and functionalities available in LibreOffice Calc.
- Learn how to clean, validate, manipulate, and visualize data using Calc.
- Apply various functions and tools in Calc to perform complex data analysis.
- Gain insights and tips for conducting advanced data analysis for government purposes.
As your delegates prepare for advanced Data Analytics degrees abroad, they will encounter a dual challenge: mastering the technical aspects of coding and learning to translate data insights into actionable business value. This comprehensive 5.5-hour program is designed to address both challenges concurrently. By integrating foundational Python programming skills with an introductory framework in business analytics, we ensure that your team begins their academic journey as leaders, not just learners, prepared to meet the demands required for government and private sector success.
This instructor-led, live training in [location] (online or onsite) is designed for business analysts and data analysts who wish to learn fundamental Spotfire Analyst techniques for data analysis.
By the end of this training, participants will be able to:
- Install and configure TIBCO Spotfire.
- Integrate data from various databases.
- Visualize large datasets effectively.
- Create and share sophisticated dashboards, enhancing decision-making processes for government.
This instructor-led, live training in Colorado (online or onsite) is designed for business analysts and data analysts who wish to utilize TIBCO Spotfire X with its artificial intelligence capabilities to visualize, transform, and analyze data for government.
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.
- Grasp the concepts behind augmented and predictive analytics.
- Learn how to load, process, and visualize data using Spotfire X.
- Create interactive and enhanced data visualizations for government.
This instructor-led, live training in Colorado (online or onsite) is designed for government and business professionals who aim to utilize data storytelling, PowerPoint, and AI tools to create executive presentations that support informed decision-making and adhere to corporate branding standards.
By the end of this training, participants will be able to structure messages using AI, enhance slide design, strengthen visual narratives, and deliver more effective and clear executive presentations for government and other organizational contexts.
This Training Needs Analysis course is designed to provide participants with a comprehensive overview of best practices, tools, and techniques for delivering a world-class training function for government. Attendees will receive a full suite of resources and case studies that can be readily implemented in their workplaces, ensuring alignment with public sector workflows, governance, and accountability.
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Testimonials (9)
personalised to our understanding and data
Vincent Long - ASSMANG PTY LTD
Course - Business Intelligence with SSAS
engagement with the attendees
Magdeline Matsie Mokonyane-Motha - Tshwane University of Technology
Course - PL-300T00: Microsoft Power BI Data Analyst
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
The coding and analysis, how the information come together in a report which will be useful for my work
Nokuthula Dhludhlu - National Transmission Company South Africa
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