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Business Intelligence (BI) for Education and Academic Analytics

This program delves into the significant impact of Business Intelligence (BI) within the educational landscape.

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Certificate :

After Completion

Start Date :

10-Jan-2025

Duration :

30 Days

Course fee :

$150

COURSE DESCRIPTION:

– This program delves into the significant impact of Business Intelligence (BI) within the educational landscape. Participants will gain insights into utilizing BI tools for the analysis of academic performance metrics, effective resource distribution, and enhanced decision-making processes across various educational entities, including schools and universities.

– The course incorporates practical exercises and real-world case studies, enabling learners to develop competencies in generating actionable insights that can lead to improved student performance and operational efficiency.

– Emphasis will be placed on the application of BI strategies to foster data-driven approaches in academic planning and execution, thereby supporting the overall educational mission.

– Participants will engage in collaborative learning experiences that highlight the importance of data analysis in shaping educational policies and practices, ultimately contributing to a more effective learning environment.

– By the end of the course, learners will be equipped with the necessary skills to leverage BI tools effectively, ensuring that they can contribute to the advancement of educational outcomes and institutional success through informed decision-making.

CERTIFICATION:

  1. Graduates will earn a Certificate in Business Intelligence for Education and Academic Analytics, demonstrating their ability to leverage BI to enhance education quality and institutional efficiency.

LEARNING OUTCOMES:

By the conclusion of the course, participants will possess the skills to:

– Comprehend the significance of Business Intelligence (BI) in the educational sector and its impact on academic decision-making processes.
– Evaluate student performance metrics to uncover essential trends and obstacles that may affect educational outcomes.
– Develop comprehensive dashboards that facilitate the tracking of key performance indicators (KPIs) related to academic, operational, and administrative functions.
– Implement predictive analytics techniques to anticipate trends in student enrollment and assess potential success rates among the student body.
– Improve resource distribution and institutional strategic planning by leveraging insights derived from data analysis, while also addressing issues related to student retention, engagement, and program effectiveness through BI applications.

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Course Curriculum

Introduction to BI in Education
  1. The importance of data-driven decision-making in education
  2. Overview of BI tools like Tableau, Power BI, and Google Data Studio
  3. Key metrics: Student performance, retention rates, resource utilization, etc.
  4. Case studies: Successful applications of BI in education
Student Performance and Outcomes Analysis
  1. Tracking and analyzing academic performance data
  2. Identifying at-risk students and devising intervention strategies
  3. Using BI to monitor attendance, grades, and engagement metrics
  4. Hands-on: Building a student performance dashboard
Enrollment and Retention Analytics
  1. Analyzing enrollment trends and forecasting future demands
  2. Identifying factors contributing to student attrition and retention
  3. Strategies for improving enrollment and retention using BI insights
  4. Hands-on: Creating an enrollment trends dashboard
Predictive Analytics in Education
  1. Forecasting student success rates and academic outcomes
  2. Predicting enrollment patterns and workforce requirements
  3. Implementing early warning systems for academic challenges
  4. Hands-on: Building a predictive analytics model for student success
Academic Program Analysis
  1. Evaluating program performance and curriculum effectiveness
  2. Identifying high-performing courses and areas for improvement
  3. Aligning academic offerings with market and industry demands
  4. Case study: Using BI to enhance program effectiveness
Stakeholder Engagement and Reporting
  1. Designing BI dashboards for educators, administrators, and stakeholders
  2. Presenting data insights effectively for strategic decision-making
  3. Customizing reports for various audiences, from parents to policymakers
  4. Hands-on: Creating a stakeholder-specific BI dashboard
Advanced BI Applications in Education
  1. Leveraging AI and machine learning for academic insights
  2. Sentiment analysis of student and faculty feedback
  3. Using geospatial data for analyzing institutional reach and impact
  4. Real-world examples: Advanced BI use cases in education
Ethical Considerations and Data Privacy
  1. Addressing data privacy concerns in academic settings
  2. Compliance with regulations (e.g., FERPA, GDPR)
  3. Ethical considerations in student data analysis and usage

Training Features

Video Tutorials

Comprehensive lessons tailored for education-focused BI applications.

Interactive Exercises

Practical tasks for building and analyzing dashboards.

Case Studies

Real-world examples of BI improving educational outcomes.

Live Q&A Sessions

Weekly expert-led discussions for personalized guidance.

Capstone Project

A real-world application of BI to an educational scenario.

Certification

A globally recognized certificate upon completing the course.

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