Data Analysis Training Courses in Vietnam

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 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

Introduction to SPSS and Data Management• Overview of SPSS interface and workspace• Creating and importing datasets• Variable definition and coding• Data cleaning and transformation techniquesDescriptive Statistics and Data Exploration• Measures of central ten...

• SPSS interface navigation and dataset management
• Data coding, entry, and cleaning techniques
• Descriptive statistical analysis and reporting
• Hypothesis testing and statistical inference
• Correlation and regression analysis
• Data visualization using charts and graphs
• Interpretation of SPSS output tables

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 Statistical Analysis Using SPSS Training, validating their expertise in statistical analysis, hypothesis testing, regression modeling, data interpretation, and research-based analytics using SPSS.

Prerequisites: • Basic understanding of statistics and data concepts• Familiarity with spreadsheets (Excel preferred)• Analytical thinking and logical reasoning skills• No prior SPSS experience required

Introduction to Zabbix & Monitoring Architecture • What is Zabbix and where it is used • Zabbix server, proxy, and agent architecture • Monitoring concepts and workflows • Zabbix interface overviewInstallation & Initial Setup • Installing Zabbix server and fro...

 • System and network administrators
 • IT operations and NOC engineers
 • DevOps and SRE professionals
 • Monitoring and infrastructure engineers
 • IT teams implementing automated monitoring

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 Zabbix for Automated Monitoring. This digital, verifiable certification validates practical Zabbix monitoring, automation, and infrastructure observability 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