Data Analysis Training in Virginia

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

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

• Configure a big data environment using Google Colab and 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 use.

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

This instructor-led, live training (online or onsite) is designed for intermediate-level data professionals who wish to effectively utilize the Rocket and Intelligence modules in Stratio with PySpark, focusing on looping structures, user-defined functions, and advanced data logic. The training emphasizes practical application of these tools to enhance data workflows and feature engineering tasks.

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 in a structured manner.
• Utilize loops and conditional logic to manage data workflows and feature engineering tasks efficiently.
• Create and manage user-defined functions (UDFs) for reusable data operations in PySpark, enhancing productivity and consistency.

Format of the Course

• Interactive lecture and discussion to facilitate understanding and engagement.
• Extensive exercises and practice sessions to reinforce learning.
• Hands-on implementation in a live-lab environment to apply concepts directly.

Course Customization Options

• To request a customized training for government or other specific needs, 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 aimed at public sector professionals with limited or emerging experience in using data for decision-making. It is designed for individuals 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 evaluate data pertinent to a policy or service context.
• Formulate more effective questions for data analysts and interpret dashboards and reports accurately.
• Utilize data to support, refine, or defend decisions in public service contexts.

Format of the Course

• Interactive lectures and discussions.
• Practical exercises using decision scenarios, data sets, and mock policy briefs.
• Guided activities focused on real-world decision-making use cases for government.

Course Customization Options

• To request a customized training tailored to your department's workflows or internal tools, please contact us to arrange.

This instructor-led, live training in Virginia (online or onsite) is designed for 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 foundational principles of time series analysis.
• Utilize Google Colab for working with time series data.
• Implement ARIMA models to predict data trends.
• Leverage Facebook’s Prophet library for flexible forecasting.
• Visualize time series data and the results of forecasting analyses.

This training is tailored to enhance skills in data analysis for government, ensuring alignment with public sector workflows and governance standards.

Digital Intelligence is the capacity 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 (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:

• Comprehend the fundamentals of digital intelligence and its application in public sector work.
• Leverage digital tools to collect, visualize, and communicate actionable insights.
• Evaluate the digital maturity of their team or department.
• Develop 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 focused on real-world public service scenarios.

Course Customization Options

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

This training is specifically designed to align with the needs and workflows of public sector professionals, enhancing their capabilities in digital intelligence for government operations.

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 within public sector environments.

This instructor-led, live training (online or onsite) is designed for government 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, aligning with the needs of public sector workflows, governance, and accountability.

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

• Transform raw data into impactful visual stories for government use.
• Use chart selection and layout to support key messages effectively.
• Structure data narratives that align with audience needs in a public sector context.
• Apply best practices for visual clarity and cognitive impact, ensuring alignment with governmental standards.

Format of the Course

• Interactive lecture and discussion tailored to government professionals.
• Hands-on use of storytelling techniques in data presentations for government applications.
• Guided exercises focused on clarity, visual flow, and audience impact within public sector settings.

Course Customization Options

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

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

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 advances into the programming languages and methodologies used for Data Analysis. Finally, we explore the tools and infrastructure that support Big Data storage, Distributed Processing, and Scalability in government operations.

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

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 with team members on projects.
• Deploy their dbt projects to production environments.
• Debug and troubleshoot issues within their dbt projects.

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

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

• Comprehend the foundational principles of AWS Glue.
• Configure an AWS Glue pipeline for efficient data processing.
• Set up and manage AWS Glue crawlers and jobs.
• Utilize AWS Glue transformations to enhance data integration and analysis.

This instructor-led, live training in Virginia (online or onsite) is designed for advanced-level GIS professionals who wish to utilize ArcGIS Pro to enhance their spatial analysis capabilities, conduct comprehensive geostatistical analysis, and apply advanced 3D modeling techniques for more effective decision-making and problem-solving in real-world scenarios for government.

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

• Develop advanced skills in spatial analysis techniques using ArcGIS Pro.
• Leverage 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 utilize 3D spatial data analysis.

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

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

• Understand the foundational principles of Google Gemini AI.
• Connect multiple data sources to Gemini AI.
• Explore data through natural language queries.
• Analyze data patterns and extract insights.
• Create compelling data visualizations.
• Effectively communicate data-driven insights.

This training is tailored to enhance the capabilities of professionals in the public sector, ensuring alignment with best practices for government workflows, governance, and accountability.

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

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 informed, data-driven decisions for business operations.

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level IT support personnel who wish to provide robust support for government use of ArcGIS Enterprise, effectively addressing any anomalies or failures.

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

• Understand the architecture and components of ArcGIS Enterprise for government applications.
• Learn to install, configure, and manage ArcGIS Enterprise in a public sector environment.
• Gain skills in troubleshooting and resolving common issues that may arise in government settings.
• Develop proficiency in monitoring and maintaining ArcGIS Enterprise environments to ensure continuous operation and compliance with government standards.
• Master the techniques for backup, recovery, and performance optimization tailored for government use.

This instructor-led, live training in Virginia (online or onsite) is aimed at analysts who wish to utilize IBM Planning Analytics for government to analyze and customize reports and templates for data in a database.

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

• Understand how to analyze data using IBM Planning Analytics for government.
• Create custom views of the data within a database.
• Develop reports and forms that integrate with TM1 for enhanced data communication.

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

The course covers foundational concepts in data science and machine learning, with a focus on their implementation using Microsoft Azure Machine Learning. Participants will gain skills in data preparation, building and training machine learning models, and deploying these models to the cloud. Additionally, the course delves into evaluating model performance and performing feature engineering, all tailored to meet the needs of professionals working for government.

This instructor-led, live training in Virginia (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 tasks for government.

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

• Comprehend the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master 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 effectively within government workflows.

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

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

• Understand the concept and importance of Analytic Functions in public sector data management.
• Apply various Analytic Functions to solve complex analytical problems relevant to government workflows.
• Combine Analytic Functions with other SQL features for comprehensive data analysis in governmental contexts.
• Optimize queries for better performance, ensuring efficient data processing and governance.

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level professionals who wish to learn the fundamental concepts and tools of ArcGIS for government.

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

• Understand the basic principles of Geographic Information Systems (GIS) and spatial data management for government.
• Navigate the ArcGIS interface effectively.
• Create and manage spatial datasets for government use.
• Conduct basic spatial analysis to support public sector workflows.
• Develop maps and visualizations that enhance decision-making and accountability in government operations.

This instructor-led, live training in Virginia (online or onsite) is aimed at data analysts and data scientists who wish to utilize 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 in a public sector environment.
• Understand the fundamental concepts and stages of the MongoDB Aggregation Framework for government use.
• Learn about the basic structure, syntax, and operations required for effective aggregation.
• Gain proficiency in handling advanced operations within the aggregation process.
• Apply optimization tools and techniques to enhance the performance of aggregation tasks for government applications.

This instructor-led, live training in Virginia (online or onsite) is aimed at beginner-level earth sciences and engineering professionals who wish to utilize Python for geospatial analysis in both ArcGIS and QGIS environments.

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

• Master Python syntax and control structures to execute geospatial tasks efficiently.
• Employ Pandas, Numpy, and Matplotlib for data analysis and visualization in GIS applications.
• Manage and analyze vector data using Geopandas, Arcpy, and PyQGIS libraries.
• Automate geospatial processes and workflows using Python scripting within ArcGIS and QGIS.
• Develop custom Python-based geoprocessing tools for ArcGIS and QGIS to enhance task efficiency, specifically tailored for government use.

This instructor-led, live training in Virginia (online or onsite) is aimed at intermediate-level environmental scientists and archaeologists who wish to learn how to use ArcMap in ArcGIS for government to collect, organize, manage, and analyze 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 on social and archaeological elements.
• Conduct spatial queries for impact evaluation in public sector workflows.

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 (online or onsite) is designed for advanced-level data professionals who seek to leverage cutting-edge analytical methods and big data technologies for predictive, prescriptive, and real-time analytics in their public sector roles.

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, enhancing governance and accountability for government operations.

Format of the Course

• Interactive lecture and discussion tailored to public sector workflows.
• Extensive exercises and practice sessions to reinforce learning.
• Hands-on implementation in a live-lab environment, simulating real-world for government scenarios.

Course Customization Options

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

The objective of the course in Virginia is to assist participants in providing evidence-based responses to key questions:

What has occurred?

• processing and analyzing data for government
• generating informative data visualizations

What is likely to occur?

• forecasting future performance
• assessing the accuracy of forecasts

What actions should be taken?

• transforming data into evidence-based business decisions
• optimizing processes and workflows for government

This instructor-led, live training in Virginia (online or onsite) is aimed at data analysts or anyone who wishes to use SPSS Modeler for government to perform data mining activities.

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

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

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

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 foundational concepts of Big Data, then progresses into the programming languages and methodologies used for Data Analysis. Finally, we discuss the tools and infrastructure that enable Big Data storage, Distributed Processing, and Scalability in public sector environments.

R is a widely used, open-source environment for statistical computing, data analytics, and graphics. This course introduces the R programming language to students, covering language fundamentals, libraries, and advanced concepts. It also includes advanced data analytics and graphing using real-world data.

Audience

Developers and Data Analysts for government

Duration

3 days

Format

Lectures and Hands-on Practice

Audience

Analysts, researchers, scientists, graduates and students, and anyone interested in enhancing their ability to conduct statistical analysis using Microsoft Excel for government.

Course Objectives

This course is designed to enhance your proficiency with Excel and statistical methods, thereby increasing the effectiveness and efficiency of your work or research. It will provide practical skills that are directly applicable to public sector workflows and governance.

The course covers the use of the Analysis ToolPack in Microsoft Excel, statistical functions, and basic statistical procedures. It will also address Excel's limitations and offer strategies for overcoming them to ensure accurate and reliable data analysis for government.

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
• optimizing processes and workflows

This instructor-led, live training in Virginia (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 wish to employ analytical methods to enhance organizational performance. The course covers both qualitative and quantitative approaches, including empirical and statistical methodologies.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and practice sessions.

Course Customization Options

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

This instructor-led, live training in Virginia (online or onsite) is aimed at data scientists who wish to utilize IBM Cloud Pak for preparing data for use in artificial intelligence solutions for government.

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

• Install and configure Cloud Pak for Data for government use.
• Consolidate the collection, organization, and analysis of data.
• Integrate Cloud Pak for Data with various services to address common public sector challenges.
• Implement workflows that facilitate collaboration among team members on the development of AI solutions for government.

In this instructor-led, live training in Virginia (onsite or remote), participants will learn how to integrate the capabilities of Python with Microsoft 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 for government applications.
• Read, write, and manipulate Excel files using Python scripts tailored for government workflows.
• Invoke Python functions directly from Excel to enhance data processing and analysis for government tasks.

This instructor-led, live training in Virginia (online or onsite) is aimed at technical personnel who wish to gain a practical understanding of available cloud solutions, the data analysis processes required for government operations, and hands-on practice with tools such as Power BI for analyzing data.

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

• Install and configure Power BI for government use.
• Evaluate the various data solutions offered by cloud providers such as Azure for government applications.
• 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, ensuring compliance with governmental standards.
• Build reporting and analytics solutions based on both on-premise and cloud data, tailored for government workflows.
• Integrate data analytics solutions with a data warehouse, aligning with public sector governance and accountability requirements.
• Mitigate data security risks and ensure data privacy in accordance with governmental regulations.

This instructor-led, live training in Virginia (online or onsite) is aimed at developers and administrators who wish to utilize OpenSearch for performing distributed search and data analytics within a unified and secure system for government.

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

• Establish the necessary development environment to begin building search and analytics solutions with OpenSearch and OpenSearch Dashboards.
• Comprehend the three methods (snapshot, restart, and rolling) for upgrading from Elasticsearch OSS to OpenSearch.
• Acquire skills in indexing data, creating data streams, executing queries, and facilitating cross-cluster operations in OpenSearch.
• Investigate and utilize plugins, APIs, clients, and ingestion tools (such as Beats, Logstash, Grafana, etc.) to enhance the search experience while maintaining cluster security.
• Leverage OpenSearch Dashboards for centralized data management, visualization, logging, monitoring, and maintenance.

This instructor-led, live training in Virginia (online or onsite) is aimed at individuals who wish to learn just enough Python to begin analyzing data from sources such as sales figures, traffic analytics, and customer interactions for government.

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

• Install and configure the necessary software, libraries, and development environment to start writing Python code for data analysis in a public sector context.
• Analyze data from various sources, including Excel, CSV, JSON files, and databases, to support government workflows and decision-making.
• Clean data to enhance its quality and utility before conducting analysis.
• Perform basic statistical analysis to inform governance and accountability measures.
• Generate reports that present data in a clear and actionable format, from numerical summaries to visualizations, tailored for government use.
• Derive valuable insights from data, including performance trends and areas requiring attention, to improve public sector operations.

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 applications.

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

• Efficiently query large datasets.
• Comprehend how big data systems manage and access data.
• Leverage the latest big data systems available for government use.
• Transform data from various systems into reporting formats.
• Master writing SQL queries in:
  • MySQL
  • Postgres
  • Hive Query Language (HiveQL/HQL)
  • Redshift

Course Format

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

Customization Options for Government

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

This instructor-led, live training in Virginia (online or onsite) is aimed at data scientists and software engineers who wish to use 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 environment to begin building big data processing capabilities with Dask and Python.
• Explore the features, libraries, tools, and APIs available in Dask to support their work for government.
• Understand how Dask enhances parallel computing within Python, optimizing performance for large-scale data analysis.
• Learn how to scale the Python ecosystem (Numpy, SciPy, and Pandas) using Dask to meet the demands of complex datasets in the public sector.
• Optimize the Dask environment to ensure high performance and efficiency when handling large datasets for government projects.

The objective of this course is to provide a clear understanding of SQL for various databases (Oracle, SQL Server, MS Access, etc.). Participants will gain insight into analytic functions and the methods for joining different tables within a database. This knowledge will enable delegates to shift data analysis operations to the database level, rather than performing these tasks in applications such as MS Excel. Additionally, this course can assist in the development of any IT system that utilizes relational databases, enhancing efficiency and accuracy for government workflows.

This instructor-led, live training in Virginia (online or onsite) is aimed at field ecologists and conservation managers who wish to create data spatial projects using ArcGIS for government applications.

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 for government projects.
• Evaluate spatial data to support decision-making in governmental initiatives.

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

• Understand GIS concepts and spatial data types using the latest version of ArcGIS Pro for government.
• Examine the user interface and assess its applications.
• Explore ArcGIS Pro and learn how to leverage online content.
• Manage, manipulate, and analyze their own data effectively.
• Present and share their data in meaningful and innovative ways.

Note: The training will utilize the latest version of ArcGIS Pro for government.

This instructor-led, live training in Virginia (online or onsite) is aimed at GIS analysts who wish to automate repetitive tasks in GIS processes for government.

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

• Construct GIS applications using Python and ArcGIS tools.
• Develop applications with the ArcGIS package ArcPy, utilizing Python.
• Implement map automation using ArcGIS modules and object classes in Python.

This course focuses on the application of data analytic techniques and methodologies to address challenges in public sector operations using R, Python, and SQL. It highlights the alignment of business requirements with data analytics, emphasizing data analytics as a comprehensive toolkit for resolving government inquiries and issues for government.

Target Audience

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

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

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

• Develop a comprehensive data cleaning strategy.
• Utilize essential tools for data cleaning.
• Achieve results more efficiently.
• Learn and apply best practices in data cleaning.

Informatica Data Quality for Analysts 10.2x is an introductory course designed to assist government professionals in understanding the significance of data quality and the methods for assessing and enhancing the accuracy, completeness, validity, and consistency of data. This course provides a comprehensive overview of the key steps in the Data Quality Process, including the utilization of Informatica products and features for analyzing data quality. It also covers essential skills for maintaining and improving data quality over time, specifically tailored for government.

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
• Employing data stewardship to ensure data accuracy and consistency
• Creating dashboards and data visualizations
• Leveraging data integration to enhance and update data
• Applying business rules to enforce accuracy and consistency
• Using data cleansing and enrichment to improve data

The KNIME Analytics Platform is a leading open-source solution for data-driven innovation, enabling users to uncover the potential within their data, discover new insights, and predict future outcomes. With over 1,000 modules, hundreds of ready-to-run examples, an extensive range of integrated tools, and a wide selection of advanced algorithms, the KNIME Analytics Platform is an essential resource for any data scientist or business analyst.

This training course for the KNIME Analytics Platform provides an ideal opportunity for beginners, advanced users, and KNIME experts to become familiar with the platform, enhance their usage skills, and learn how to generate clear and 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 needs. It is particularly suited for those without programming experience who intend to use cutting-edge tools to implement analytics scenarios.

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

• Install and configure KNIME for government.
• Develop data science scenarios.
• Train, test, and validate models.
• Implement end-to-end value chains of data science models.

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 or to learn more about the program, please contact us to arrange.

The "KNIME Analytical Platform" training offers a comprehensive overview of this free data analysis platform. The program covers an introduction to data processing and analysis, installation and configuration of KNIME, building workflows, methodologies for creating business models 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, integration with BIRT, and the KNIME WebPortal.

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

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

• Plan, build, and deploy machine learning models in KNIME for government use.
• Make data-driven decisions to enhance operations for government agencies.
• Implement end-to-end data science projects aligned with public sector workflows.

This instructor-led, live training in Virginia (online or onsite) is designed for government data analysts who wish to utilize 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 for government use.
• Understand the full range of features and functionalities available in LibreOffice Calc.
• Learn how to clean, validate, manipulate, and visualize data within Calc.
• Apply various functions and tools in Calc to perform complex data analysis.
• Gain insights and tips on conducting advanced data analysis for government purposes.

This instructor-led, live training in Virginia (online or onsite) is aimed at 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 applications.

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

• Install and configure TIBCO Spotfire X for use in government settings.
• Understand the features and architecture of TIBCO Spotfire X as they relate to public sector workflows.
• Comprehend the principles behind augmented and predictive analytics for government data analysis.
• Learn how to load, process, and visualize data using TIBCO Spotfire X in a government context.
• Create interactive and enhanced data visualizations suitable for government reporting and decision-making.

This Training Needs Analysis course is designed to provide participants with a comprehensive overview of best practices, tools, tips, and techniques essential for delivering a world-class training function. Attendees will leave with a robust set of tools and real-world case examples that can be seamlessly integrated into their professional workflows for government. These resources are tailored to enhance public sector training initiatives, ensuring alignment with governance and accountability standards.