Data Analysis Training in US

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.

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.

This instructor-led, live training in US (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 US (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.
• Conduct spatial queries to evaluate impacts.

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.

Audience

Developers and Data Analysts for government

Duration

3 days

Format

Lectures and Hands-on Exercises

Audience

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
• optimizing processes and workflows

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

Target Audience

• 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.

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 US (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 in US (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.