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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

₹42,699₹53,374
20% Early Bird Discount
Enroll Now Course Content

Overview Video

Clinical Data Analyst

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

3 modules · 12 weeks · 2hrs/day
1

Microsoft Excel Course

The Microsoft Excel Course Basic to Advance provides learners with a strong foundation in data management and analytical reporting using Microsoft Excel. Participants learn workbook management, formulas, functions, tables, PivotTables, PivotCharts, sorting, filtering, conditional formatting, data validation, charts, and report formatting. Through hands-on exercises and practical datasets, learners develop the skills required to organize, clean, analyze, and present structured data efficiently, supporting accurate reporting and data-driven decision-making in clinical and business environments.

2

SQL Course

The SQL Course Basic to Advance equips learners with the skills to retrieve, manage, and analyze large datasets stored in 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 real-world analytical projects, the course prepares learners to extract meaningful insights, automate reporting, and efficiently manage structured data for analysis and decision support.

3

Power BI Course

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

Clinical Data AnalystSenior Data AnalystTelecom Analytics ManagerBusiness Intelligence ManagerHead of Data & Analytics

Tools Used

ExcelSQLBI Tools

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

Fee DetailsAmount
Programme Fee₹53,374
★ Full Payment Gets 20% Early Bird Discount · save ₹10,675
Total Fee (After Discount)₹42,699

Mentor

AL

Analytics Learners

Professional Analyst & Mentor

4(1544 reviews)