Data Analysis Training Courses in Indonesia
Empower your workforce with AcadNXT’s data analysis training and courses, built to deliver actionable insights and data-driven decision-making capabilities.
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About Data Analysis Training in Indonesia
Unlock the power of data with AcadNXT’s data analysis training and courses designed for modern business needs. Learn to collect, process, and analyze data using industry-standard tools like Excel, SQL, Python, and visualization platforms. Our programs focus on real-world applications, enabling professionals to make data-driven decisions, uncover insights, and drive business growth with confidence.
Data Analysis courses in Indonesia
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...
View more• 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 Tableau & Environment • What is Tableau and its ecosystem • Installing Tableau Desktop • Tableau interface and workspace overview • Creating first Tableau worksheetConnecting to Data Sources • Connecting to Excel, CSV, and databases • Live vs E...
View more • Business analysts and data analysts
• BI and reporting professionals
• Finance and operations professionals
• Managers and decision-makers using dashboards
• Professionals transitioning into data visualization roles
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 Tableau Fundamentals. This digital, verifiable certification validates practical Tableau visualization and dashboarding skills and can be shared on LinkedIn and included in professional profiles to enhance analytics and BI career credibility.
Prerequisites: • Basic understanding of data concepts • Familiarity with Excel is helpful • Basic computer operation skills
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...
View more • 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