Student/Learning Analytics Analyst
Profile Code: AL-EDU-04
- ₹8.5 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 10 Weeks
Skills You Learn: Learning Analytics | Student Data Analysis | Predictive Analytics | Data Visualization | Advanced Excel | SQL | Power BI & Dashboards | Educational Research | Statistical Analysis | KPI Reporting | Problem Solving | Stakeholder Communication
Overview Video
About This Course
A Student/Learning Analytics Analyst in the education and edtech industry focuses on analyzing learner data to improve engagement, performance, and overall learning outcomes. This course equips learners with the skills to track key metrics such as course completion rates, assessment scores, learner behavior, and engagement patterns. Participants gain hands-on experience with tools like Excel, SQL, and BI dashboards to generate actionable insights. The program emphasizes data-driven decision-making in learning and development, helping institutions and platforms optimize curriculum design and student success strategies. Learners will understand how to identify performance gaps, personalize learning experiences, and improve program effectiveness. By the end of the course, they are prepared for roles in learning analytics and edtech analytics, with career progression into L&D strategy, product analytics, and education leadership positions.
Key Responsibilities
- Analyze student performance and engagement data
- Monitor learning outcomes and academic trends
- Develop dashboards and reports on student progress
- Identify at-risk students and recommend interventions
- Evaluate course effectiveness and learning programs
- Track retention and completion metrics
- Conduct predictive analytics for student success
- Support data-driven educational decision-making
- Collaborate with academic and product teams
- Provide insights to improve learning experiences and outcomes
Growth Path
Tools Used
Perfect For
Education Professionals | EdTech Professionals | Data Analysts | Academic Coordinators | Instructional Designers | Education Researchers | MBA Graduates | Teachers Interested in Analytics | Product Analysts in EdTech | Early-Career Data Professionals
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor