Data Analysis Training Courses courses in United States

Introduction to Microsoft Power Platform• Overview of Power Platform components• Understanding Power Apps environment• Dataverse basics and data structure concepts• Connecting data sources (SharePoint, Excel, SQL)Power Apps Fundamentals• Canvas app creation an...

• Business Analysts and Functional Consultants
• IT Professionals and Developers
• Process Automation Specialists
• Data and Reporting Professionals
• Business Users involved in process improvement

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in MS Power Platform & Power Apps, validating their expertise in Power Apps development, Power Automate workflows, Dataverse management, and business process automation using Microsoft Power Platform.

Prerequisites: • Basic understanding of business processes and workflows• Familiarity with Microsoft Excel and data handling• Logical thinking and process-oriented mindset• No prior coding experience required

Introduction to Nagios XI & Monitoring Concepts • What is Nagios XI and where it is used • Nagios XI architecture and components • Monitoring concepts and terminology • Nagios XI interface overviewInstallation & Initial Configuration • Installing Nagios XI on...

 • System and network administrators
 • IT operations and NOC engineers
 • DevOps and infrastructure engineers
 • Monitoring and reliability engineers
 • IT support and platform teams

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Nagios XI Administration. This digital, verifiable certification validates practical Nagios XI administration, infrastructure monitoring, and IT operations management skills and can be shared on LinkedIn and included in professional profiles to enhance IT operations and monitoring career credibility.

Prerequisites:  • Basic understanding of Linux or Windows system administration • Familiarity with networking concepts • Basic knowledge of IT infrastructure and servers

Introduction to Netdata & Real-Time Monitoring • What is Netdata and where it is used • Netdata architecture and components • Real-time monitoring concepts • Navigating Netdata dashboardsAgent Installation & Setup • Installing Netdata on Linux and Windows • In...

 • System administrators and IT operations teams
 • DevOps and SRE engineers
 • Infrastructure and monitoring engineers
 • Professionals needing real-time system visibility
 • Teams adopting lightweight monitoring tools

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Netdata. This digital, verifiable certification validates practical Netdata real-time monitoring, performance analysis, and alerting skills and can be shared on LinkedIn and included in professional profiles to enhance IT operations and monitoring career credibility.

Prerequisites:  • Basic understanding of Linux or Windows system administration • Familiarity with IT infrastructure concepts • Basic computer operation skills

Introduction to Pentaho & Platform Architecture • What is Pentaho and where it is used • Pentaho platform components • Pentaho Server and client tools • Overview of Pentaho Data IntegrationPentaho Data Integration (PDI) Basics • Introduction to Spoon interface...

 • Data engineers and ETL developers
 • BI developers and reporting professionals
 • Data warehouse professionals
 • Analytics platform administrators
 • Professionals working with Pentaho for data integration and BI

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Pentaho Fundamentals. This digital, verifiable certification validates practical Pentaho ETL, data integration, and BI platform skills and can be shared on LinkedIn and included in professional profiles to enhance data engineering and BI career credibility.

Prerequisites:  • Basic understanding of data and databases • Familiarity with SQL is helpful • Basic computer operation skills

Introduction to Power BI & Environment • What is Power BI and its ecosystem • Installing Power BI Desktop • Power BI interface and workspace overview • Creating first Power BI reportData Connectivity & Importing Data • Connecting to Excel, CSV, and databases •...

 • Business analysts and data analysts
 • BI and reporting professionals
 • Finance and operations professionals
 • Managers and decision-makers using dashboards
 • Professionals transitioning into business intelligence

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Power BI. This digital, verifiable certification validates practical Power BI dashboarding, data modeling, and business intelligence skills and can be shared on LinkedIn and included in professional profiles to enhance career credibility.

Prerequisites:  • Basic understanding of data concepts • Familiarity with Excel is helpful • Basic computer operation skills

Introduction to PyQGIS and QGIS Python Console• Overview of QGIS architecture and PyQGIS• Python console in QGIS environment• Working with QgsProject and QgsVectorLayer• Loading and managing spatial layers using PythonVector Data Handling and Automation• Readi...

• GIS Analysts and Developers
• Python Developers entering GIS domain
• Remote Sensing and Spatial Data Professionals
• Urban Planning and Environmental Analysts
• Data Scientists working with geospatial data

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in PyQGIS Training, validating their expertise in Python-based GIS automation, spatial data processing, QGIS scripting, and geospatial workflow development.

Prerequisites: • Basic understanding of GIS concepts and QGIS• Fundamental knowledge of Python programming• Familiarity with spatial data formats (shapefiles, geodatabases)• Logical and analytical thinking skills

Introduction to QGIS & Interface • What is QGIS and where it is used • QGIS interface and toolbars • Project setup and management • Managing layers and data sourcesWorking with Vector & Raster Data • Importing vector and raster datasets • Understanding shapefi...

 • GIS analysts and technicians
 • Urban planners and geographers
 • Environmental and sustainability professionals
 • Data analysts working with spatial data
 • Organizations adopting open-source GIS tools

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for QGIS for Geographic Information System. This digital, verifiable certification validates practical QGIS mapping, spatial analysis, and open-source GIS platform skills and can be shared on LinkedIn and included in professional profiles to enhance GIS and geospatial analytics career credibility.

Prerequisites:  • Basic understanding of GIS concepts is helpful • Familiarity with mapping or spatial data is beneficial • Basic computer operation skills

Introduction to Requirement Analysis• Overview of Business Analysis role• Software Development Life Cycle (SDLC) overview• Types of requirements: business, functional, non-functional• Stakeholder identification and analysisRequirement Elicitation Techniques• I...

• Business Analysts and aspiring Business Analysts
• Project Managers and Product Owners
• Software Developers and Testers
• QA and Testing Professionals
• IT Consultants and System Analysts

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in Requirement Analysis Training, validating their expertise in requirement elicitation, documentation, stakeholder management, use case modeling, and requirement lifecycle management.

Prerequisites: • Basic understanding of business processes• Familiarity with software development lifecycle concepts is helpful• Analytical and communication skills• No prior business analysis experience required

Introduction to Requirements Engineering & Lifecycle • What is requirements engineering and its importance • Requirements lifecycle stages • Roles and responsibilities in requirements engineering • Common challenges and pitfallsStakeholder Analysis & Communica...

 • Business analysts and systems analysts
 • Product owners and product managers
 • Project managers and delivery managers
 • Software architects and solution designers
 • Quality assurance and testing professionals

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Requirements Engineering. This digital, verifiable certification validates practical requirements engineering, business analysis, and stakeholder management skills and can be shared on LinkedIn and included in professional profiles to enhance business analysis and project delivery career credibility.

Prerequisites:  • Basic understanding of software development or business processes • Familiarity with project or product environments is helpful • Interest in business analysis and solution design

Introduction to SAS Programming Environment• Overview of SAS architecture and components• SAS Studio and Enterprise Guide basics• Understanding SAS libraries and datasets• Writing first SAS programData Step Fundamentals• Structure of DATA step• Reading externa...

• Data Analysts and Business Analysts
• Reporting Professionals
• Beginners in Data Analytics
• Software Developers transitioning into analytics
• Professionals working with data-driven decision systems

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants who successfully complete the training will receive an AcadNXT Certification in SAS Programming, validating their expertise in SAS programming fundamentals, data manipulation, PROC SQL, data analysis techniques, reporting, and basic automation using SAS macros.

Prerequisites: • Basic understanding of data concepts• Familiarity with spreadsheets (Excel recommended)• Fundamental knowledge of statistics is beneficial but not mandatory• No prior SAS experience required

Introduction to Splunk & Architecture • What is Splunk and where it is used • Splunk components and deployment models • Splunk data flow overview • Navigating Splunk interfaceData Ingestion & Indexing • Adding data to Splunk • Configuring inputs • Understandin...

 • IT operations and system administrators
 • Security analysts and SOC team members
 • DevOps and SRE professionals
 • Application support engineers
 • Professionals starting with Splunk

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Upon successful completion of the training, participants will receive an AcadNXT Certificate of Completion for Splunk Fundamentals. This digital, verifiable certification validates practical Splunk log analysis, monitoring, and dashboarding skills and can be shared on LinkedIn and included in professional profiles to enhance IT operations and security career credibility.

Prerequisites:  • Basic understanding of IT systems and networking concepts • Familiarity with logs and system data is helpful • Basic computer operation skills

Introduction to Stata and Data Management• Overview of Stata interface and commands• Importing and exporting datasets• Data cleaning and preprocessing techniques• Managing variables and labelsDescriptive Statistics and Data Exploration• Summary statistics and...

• Data Analysts and Research Analysts
• Economists and Social Science Researchers
• Public Policy Professionals
• Business Intelligence Professionals
• Students pursuing statistics, economics, or data science

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Certification: Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Prerequisites: • Basic understanding of statistics and data concepts• Familiarity with spreadsheets (Excel preferred)• No prior experience with Stata required• Analytical thinking and basic mathematical knowledge