TIBCO Statistica Training Course
TIBCO Statistica is an advanced analytics platform that offers businesses comprehensive solutions for data analysis, management, visualization, mining, statistics, and machine learning.
This instructor-led live training, available either online or onsite, is designed for engineers, researchers, and data analysts who want to leverage TIBCO Statistica’s features to develop analytical workflows and models.
Upon completion of this training, participants will be able to:
- Install and navigate the TIBCO Statistica application to build and manage data analysis projects.
- Grasp the fundamentals of statistics to analyse data and generate actionable business insights.
- Explore advanced topics such as big data, machine learning, and experimental design (DOE) using TIBCO Statistica.
Course Format
- Interactive lectures and discussions.
- Ample exercises and practical practice.
- Hands-on implementation in a live-lab environment.
Course Customization Options
- To request customized training for this course, please contact us to make arrangements.
Course Outline
Introduction
Overview of TIBCO Statistica Features
- Interactive UI and workflow UI
- Analytic facilities and unique features
- Statistica Help
Getting Started with TIBCO Statistica
- Installation
- MS Office integration
- Selecting a data file
- Templates
Exploring Data Analysis Capabilities
- Commonly used statistical tests
- Elementary concepts (variables, measurement scales, relations, etc.)
- Statistical Advisor feature
Exploring Statistics Basics
- Correlations and ANOVA
- Variable bundles
- By-group analyses
- Summary results panels
Managing Data Using TIBCO Statistica
- Spreadsheet formulas
- Workspace nodes
- Managing output
- Printing, importing, and exporting
Managing Statistica Settings and Projects
- Project actions
- Customizing settings (toolbar, menus, commands)
Working with Spreadsheets, Reports, and Macros
- Using spreadsheets and workbooks
- Creating graphs and reports
- Working with macros
Exploring Advanced Analytics Topics
- Statistica Data Miner (SDM)
- Machine learning
- Engineering applications
- Design of Experiments (DOE)
Summary and Conclusion
Requirements
- Experience with Microsoft Office applications
- Basic understanding of data analysis and statistics
Audience
- Engineers
- Researchers
- Data analysts
Need help picking the right course?
southafrica@nobleprog.co.za or +27 (0)10 005 5793
TIBCO Statistica Training Course - Enquiry
Testimonials (1)
workshops, practical examples
Martin Stuparek - Orange Slovensko, a.s.
Course - Monitoring with Grafana
Related Courses
Advanced Alerting and Automation with Grafana and Prometheus
14 HoursThis instructor-led, live training in Botswana (online or onsite) is designed for advanced-level DevOps and SRE professionals who wish to enhance their alerting and automation skills with Grafana and Prometheus.
By the conclusion of this training, participants will be able to:
- Create and manage advanced alerting rules in Prometheus.
- Integrate Prometheus Alertmanager with external tools using webhooks.
- Automate responses to alerts for faster issue resolution.
- Use Grafana to visualize and manage alerts effectively.
Building Effective Dashboards with Grafana and Prometheus
14 HoursThis instructor-led, live training in Botswana (online or onsite) is aimed at intermediate-level DevOps and SRE professionals who wish to create impactful dashboards and optimise their monitoring practices using Grafana and Prometheus.
By the end of this training, participants will be able to:
- Understand best practices for designing effective dashboards.
- Create and configure advanced Grafana dashboard elements.
- Leverage Grafana templating for dynamic and reusable dashboards.
- Implement alerting mechanisms to enhance operational awareness.
Custom Metrics and Instrumentation with Prometheus and Grafana
14 HoursThis instructor-led, live training in Botswana (online or onsite) is aimed at intermediate-level developers and DevOps engineers who wish to instrument their applications to export and monitor custom metrics effectively using Prometheus and Grafana.
By the end of this training, participants will be able to:
- Understand the importance of custom metrics for application monitoring.
- Instrument applications to export custom metrics for Prometheus.
- Create and configure dashboards in Grafana to visualize custom metrics.
- Apply best practices for integrating monitoring into the development lifecycle.
Monitoring with Grafana
14 HoursThis instructor-led, live training in Botswana (onsite or remote) is aimed at data analysts who wish to use Grafana for monitoring and visualizing data.
By the end of this training, participants will be able to:
- Establish the necessary development environment to begin creating visualisations in Grafana.
- Configure Grafana for high availability.
- Customise panels and dashboards with relevant data.
- Set up a reverse proxy to ensure fast loading speeds.
Advanced Grafana
14 HoursThis instructor-led live training in Botswana (online or on-site) is designed for intermediate data analysts who wish to learn and utilise the advanced features and components of Grafana for data visualization and analysis.
Upon completion of this training, participants will be equipped to:
- Develop a deep understanding of advanced Grafana concepts and components.
- Utilise template variables and dynamic dashboards to enhance data visualization.
- Employ Grafana Query Language for executing complex queries.
- Adopt best practices for scaling Grafana, optimising performance, and ensuring high availability.
Grafana Comprehensive
21 HoursThis instructor-led, live training in Botswana (online or onsite) is aimed at intermediate-level system administrators and monitoring professionals who wish to effectively use Grafana for setting up monitoring solutions, managing dashboards, and creating alerts.
By the end of this training, participants will be able to:
- Understand the difference between observability and monitoring.
- Install and set up the Grafana server.
- Configure and connect various data sources such as Prometheus, InfluxDB, and ElasticSearch.
- Create, manage, and customize dashboards and charts.
- Use variables and queries to create dynamic dashboards.
- Set up notifications and alerts through Grafana.
- Install and manage plugins to extend Grafana’s functionality.
Grafana and GLPI Administration
21 HoursThis instructor-led, live training in Botswana (online or onsite) is aimed at beginner to intermediate-level IT professionals who wish to gain the knowledge and practical skills necessary to excel in the administration of Grafana and GLPI.
By the end of this training, participants will be able to:
- Create and customize Grafana dashboards with different visualizations.
- Implement alerting and notifications for monitoring.
- Administer user accounts, teams, and permissions.
- Manage IT assets effectively, including hardware and software inventory.
- Implement a helpdesk system for user support and ticket management.
Grafana and Graphite
14 HoursThis instructor-led, live training in Botswana (online or onsite) is designed for web developers and DevOps engineers who wish to visualize and monitor data using Grafana and Graphite.
By the end of this training, participants will be able to:
- Aggregate and visualize metrics regarding systems and applications.
- Create a StatsD client for gathering application metrics.
- Build informative and dynamic dashboards with Grafana.
- Gather insights from back-end performance.
Grafana: Interactive Dashboards and Dynamic Thresholds
14 HoursThis instructor-led live training in Botswana (online or in-person) is designed for intermediate Grafana users who wish to construct interactive, drill-down dashboards featuring dynamic thresholds and contextual updates.
Upon completion of this training, participants will be able to:
- Build dashboards that respond to user interactions, such as clicking on a graph bar
- Implement visual drill-downs that update in-place (without opening new tabs)
- Configure pie charts and detailed panels based on selection filters
- Utilise dynamic thresholds that react to user input and real-time data
Introduction to Grafana and Prometheus
14 HoursThis instructor-led, live training in Botswana (online or on-site) is aimed at beginner-level IT professionals and DevOps practitioners who wish to learn the basics of Grafana and Prometheus.
By the end of this training, participants will be able to:
- Understand the purpose and key features of Grafana and Prometheus.
- Install and configure Grafana and Prometheus on a Linux environment.
- Set up basic data sources and dashboards in Grafana.
- Monitor system metrics and visualize data using Prometheus.
Integrating Grafana and Prometheus with Cloud Services
14 HoursThis instructor-led, live training in Botswana (online or onsite) is aimed at intermediate-level cloud and DevOps engineers who wish to enhance cloud observability with Grafana and Prometheus.
By the end of this training, participants will be able to:
- Understand the benefits of integrating Grafana and Prometheus with cloud platforms.
- Set up Prometheus for monitoring cloud-based resources.
- Configure Grafana for visualizing cloud service metrics.
- Leverage cloud-native tools and integrations for monitoring scalability.
Grafana and Prometheus: Data Integration and Advanced Visualization
21 HoursGrafana and Prometheus are industry-standard tools used to monitor, visualise and alert on IT infrastructure and application metrics through real-time dashboards and integrations.
This instructor-led, live training (online or onsite) is aimed at intermediate-level to advanced-level IT professionals who wish to integrate Grafana with Prometheus and multiple data sources, and build actionable visualisations and alerts across distributed systems.
By the end of this training, participants will be able to:
- Install and configure Grafana and Prometheus in production-ready setups.
- Integrate multiple data sources including SQL, Elasticsearch, InfluxDB, and cloud APIs.
- Create advanced dashboards with variables, templating, transformations, and alerts.
- Apply best practices in data modelling, performance tuning, and user access control.
Format of the Course
- Interactive lecture and discussion.
- Lots of exercises and practice.
- Hands-on implementation in a live-lab environment.
Course Customisation Options
- To request a customised training for this course, please contact us to arrange.
Monitoring with Grafana and Prometheus
14 HoursThis instructor-led, live training in Botswana (online or onsite) is targeted at beginner-level system administrators and DevOps engineers who wish to develop core monitoring skills using Grafana and Prometheus.
By the end of this training, participants will be able to:
- Grasp the purpose and significance of monitoring in IT environments.
- Install and configure Grafana and Prometheus for fundamental monitoring tasks.
- Develop simple dashboards and alerts to visualize system performance.
- Apply best practices for monitoring system availability and performance.
Monitoring Kubernetes with Prometheus and Grafana
14 HoursThis instructor-led live training in Botswana (online or onsite) is aimed at advanced-level Kubernetes administrators and DevOps engineers who wish to enhance their monitoring skills for Kubernetes clusters using Prometheus and Grafana.
By the end of this training, participants will be able to:
- Set up Prometheus and Grafana for Kubernetes monitoring.
- Monitor key metrics for pods, nodes, and services.
- Create dynamic dashboards to visualize cluster health and performance.
- Implement alerting strategies for proactive issue resolution.
- Apply best practices for scaling monitoring solutions in Kubernetes environments.
Scaling and Optimizing Prometheus and Grafana for Large Environments
14 HoursThis instructor-led, live training in Botswana (online or onsite) is designed for advanced-level DevOps engineers and SREs who wish to effectively manage and scale Prometheus and Grafana for large environments.
Upon completion of this training, participants will be able to:
- Architect Prometheus and Grafana for large-scale and distributed environments.
- Optimise Prometheus performance for high-traffic systems.
- Configure Grafana for handling large datasets and complex visualisations.
- Implement advanced troubleshooting and scalability strategies.