Our Courses

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Splunk Enterprise

Splunk Enterprise is a platform for searching, analyzing, and visualizing machine-generated big data. This course covers key concepts like data ingestion, indexing, querying with SPL (Search Processing Language), creating reports and dashboards, setting up alerts, and using Splunk for security monitoring, providing foundational skills for data analysis.Splunk Enterprise is a powerful platform for searching, monitoring, and analyzing machine-generated big data via a web-style interface. It helps organizations derive valuable insights from logs, metrics, and other machine data to improve operations, security, and performance. This short course covers:Introduction to SplunkSplunk Platform and CapabilitiesSplunk AdministrationUsing SearchesLogs, Events and AlertsSearch Language FundamentalsEvent ClassificationsSplunk FieldsSplunk Apps LibraryCreating AlertsVisualization with DashboardsReport Generation

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Automobile Mechanical and Electrical Technology Training

The training in Automobile Mechanical and Electrical Technology equips students with skills in engine mechanics, vehicle electrical systems, diagnostics, and repair. The program covers surface topics like engine performance, electrical wiring, automotive electronics, and troubleshooting in both mechanical and electrical aspects of automotive technology.

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Data Analysis and Visualization with Microsoft Power BI

Course SynopsisData Analysis and Visualization with Microsoft Power BI is a comprehensive 60-hour training program designed to build proficiency in using Power BI for insightful and interactive data analytics. Power BI is an affordable, user-friendly business intelligence tool that simplifies the data analysis process. It empowers users to connect to various data sources, transform raw data, and create visually compelling dashboards and reports. The course requires no prior coding knowledge—though basic SQL can be helpful for data connections—and is ideal for professionals and students alike seeking practical, hands-on data analysis skills. Required TextbooksBrett Powell, Mastering Microsoft Power BI, Packt.Roger F. Silva, Power BI: Create and Learn, Business Intelligence Clinic. Completion CriteriaA student will be considered to have successfully completed the module upon fulfilling all the following conditions:Minimum 90% attendance in all scheduled classes.An average grade of 80% or higher on all assignments.An average of 60% or higher in formal assessments.Positive evaluation from the tutor confirming the student has grasped key concepts and is ready for the next level. PrerequisitesA basic understanding of mathematics and logical thinking.A willingness to commit at least 10 hours per week to learning, including hands-on practice.Familiarity with Microsoft Excel and basic database concepts is beneficial.Most importantly, a strong desire to learn and apply data analysis skills.

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