Clinical Data Analyst
Profile Code: AL-TEL-02
- ₹8.5 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 12 Weeks
Skills You Learn: Data Management & Quality Control | Telecom Data Analytics | Customer & Usage Pattern Analysis | SQL & Database Management | Dashboarding & Data Visualization | Statistical Analysis & Reporting | Excel, Python & Business Intelligence Tools | Problem Solving & Data-Driven Decision Making
Overview Video

About This Course
A Clinical Data Analyst focuses on ensuring clinical trial data is accurate, consistent, and ready for analysis within regulated environments. This course equips learners with the skills to perform edit checks, review discrepancies, raise and resolve data queries with clinical sites, and track data quality metrics across study timelines. Participants gain hands-on exposure to tools such as EDC platforms and Excel, along with an introduction to SAS/SQL for generating listings and supporting analysis. The program emphasizes process discipline, audit-ready documentation, and compliance with clinical data standards. Learners will understand how to support key milestones like interim data cuts and database lock while maintaining high data integrity. By the end of the course, life science graduates are prepared for roles in clinical data management and analytics, with career progression into CDM lead and data management positions.
Course Content
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The Power BI Course Basic to Advance focuses on transforming raw data into interactive dashboards and business intelligence reports. Learners master data import, Power Query, data modeling, relationships, DAX calculations, interactive visualizations, KPI dashboards, report publishing, row-level security, scheduled refresh, and performance optimization. Through hands-on projects and real-world datasets, the course enables participants to create dynamic reports, monitor key metrics, automate reporting processes, and deliver actionable insights that support informed business and operational decision-making.
Key Responsibilities
- Collect and analyze customer, network, and operational data to identify trends and performance issues
- Monitor data quality and ensure accuracy across telecom databases and reporting systems
- Develop dashboards and reports to support service optimization and business decisions
- Analyze usage patterns and customer behavior to improve service delivery and retention
- Collaborate with network, operations, and business teams to generate actionable insights from large datasets.
Growth Path
Tools Used
Perfect For
Engineering Graduates | Computer Science and IT Professionals | Telecom & ISP Professionals | Data Analytics Enthusiasts | Business Intelligence Aspirants | Individuals Interested in Data Management and Telecom Analytics
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
Explore Various Career Paths in Telecom / ISP
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