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.
Course Content
4 modules · 10 weeks · 2hrs/daySQL Course
The **SQL Course** covers basic to advanced concepts for Student and Learning Analytics Analysts in the Education and EdTech industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, CASE statements, views, stored procedures, indexing, query optimization, transaction management, student data extraction, learning progress analysis, assessment reporting, enrollment analytics, engagement tracking, data validation, performance reporting, and large dataset management to retrieve, transform, and analyze educational data for improved learning outcomes and informed academic decision-making.
BI Course
The **BI Course** covers basic to advanced business intelligence concepts for Student and Learning Analytics Analysts in the Education and EdTech industry, including data integration, data transformation, data modeling, KPI development, dashboard creation, interactive visualizations, student performance dashboards, learning progress analysis, course completion tracking, engagement analytics, attendance reporting, predictive analytics, DAX fundamentals, drill-through reports, automated reporting, executive dashboards, performance monitoring, forecasting visualization, data storytelling, and business intelligence techniques to transform educational data into actionable insights that improve student success, institutional performance, and strategic decision-making.
Product Analytics Tools Course
The **Product Analytics Tools Course** covers basic to advanced concepts for Student and Learning Analytics Analysts in the Education and EdTech industry, including user behavior tracking, event tracking, funnel analysis, cohort analysis, retention analysis, engagement metrics, feature adoption analysis, A/B testing, customer journey mapping, session analysis, conversion tracking, user segmentation, product performance monitoring, dashboard creation, reporting automation, predictive analytics, KPI measurement, data visualization, integration with BI platforms, and product analytics reporting to optimize digital learning experiences, improve learner engagement, and support product-driven educational decisions.
Excel Course
The **Excel Course** covers basic to advanced concepts for Student and Learning Analytics Analysts in the Education and EdTech industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query, Power Pivot, student performance analysis, attendance tracking, grade analysis, learning progress monitoring, statistical functions, dashboards, What-If Analysis, Solver, VBA automation, KPI reporting, educational MIS reporting, data visualization, and interactive dashboards to organize, analyze, and present academic data for effective learning analytics and data-driven educational decision-making.
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