Customer Analytics (Telecom)

Microsoft Excel Course

The Microsoft Excel course Basic to Advance provides learners with a strong foundation in customer data management and business analysis using Microsoft Excel. Participants learn workbook management, formulas, functions, tables, PivotTables, PivotCharts, sorting, filtering, conditional formatting, data validation, charts, and reporting techniques. Through hands-on exercises and real-world customer datasets, learners develop practical skills to organize, analyze, and present customer information, enabling effective performance monitoring and data-driven business decisions.

SQL Course

The SQL course Basic to Advance equips learners with the skills to retrieve, manage, and analyze customer data from relational databases. Participants explore advanced SQL queries, joins, subqueries, common table expressions (CTEs), window functions, aggregate functions, indexing, query optimization, stored procedures, and data transformation techniques. Through practical customer analytics projects, the course prepares learners to extract valuable insights, automate reporting, and support customer segmentation, retention, and business intelligence initiatives.

Network Tools Course

The Network Tools course Basic to Advance provides comprehensive training in using network monitoring and performance analysis tools to evaluate customer service quality in telecom environments. Participants learn network monitoring concepts, performance metrics, traffic analysis, fault detection, service quality indicators, network logs, reporting, data integration, troubleshooting techniques, and operational analytics. Through real-world telecom scenarios, the course enables learners to correlate network performance with customer experience and support data-driven service improvement initiatives.

BI Dashboards Course

The BI Dashboards course Basic to Advance focuses on creating interactive dashboards and visual analytics for customer performance monitoring. Learners master data modeling, KPI development, dashboard design, customer segmentation, trend analysis, forecasting, visualization techniques, report automation, and performance optimization. Through hands-on projects and real-world customer datasets, the course prepares participants to build dynamic dashboards that deliver actionable insights, improve customer experience, and support strategic business decision-making.