Description
Course Name: Certificate in Educational Data Analysis & Learning Outcomes
Global Occupational Skill Standard – GOSS ID: GOSS/ET/CEDALO/V1
Eligibility: Graduation or Equivalent.
Duration: Three Months.
Objective: The Certificate in Educational Data Analysis & Learning Outcomes course is designed to equip education professionals, data specialists, and school leaders with the analytical skills needed to collect, interpret, and apply data to improve student achievement and institutional effectiveness. The course covers data literacy, quantitative and qualitative analysis methods, assessment metrics, data visualization, learning analytics, and the use of educational data systems (e.g., SIS, LMS).
Get ready to join the Journey to become a GSDCI Certified Professional – International Certification and Assessment Body.
Steps to become a GSDCI Certified Professional:
Step 1: Select your certification you want to pursue.
Step 2: Click on get certified tab, new pop up window will open.
Step 3: Click on pay certification fee, you will be redirected to billing details page.
Step 4: Fill your details and click on pay certification fee, You will be redirected to payment gateway, pay fee by any available options like Card(Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.
Step 5: You will get Login Credentials of Online E-Books and Online assessment link on your email id, within 48 hrs of payment.
Step 6: After completion of the online assessment, the soft copy of your certificate will be sent to your registered email ID within 5 days.
Assessment Modules:
Module 1: Introduction to Educational Data Analytics: Overview of Data Analytics in Education, Types and Sources of Educational Data, Importance of Data-Driven Decision Making, Key Stakeholders and Their Data Needs, Ethical Considerations in Educational Data Use, Introduction to Data Privacy Laws (FERPA, GDPR).
Module 2: Data Collection and Management: Designing Effective Data Collection Tools, Surveys, Assessments, and LMS Data, Data Cleaning and Preprocessing Techniques, Database Basics and Data Warehousing, Data Governance and Quality Assurance, Use of APIs and Automation in Data Collection.
Module 3: Descriptive and Diagnostic Analytics: Understanding Descriptive Statistics (Mean, Median, Mode, etc.), Data Visualization Techniques (Dashboards, Charts, etc.), Trend and Pattern Analysis, Cohort Analysis in Educational Settings, Root Cause Analysis for Learning Gaps, Using Diagnostic Data to Inform Instruction.
Module 4: Predictive and Prescriptive Analytics: Introduction to Predictive Modeling Techniques, Building and Validating Predictive Models, Using Machine Learning for Student Performance Forecasting, Early Warning Systems for Dropout Risks, Prescriptive Analytics for Intervention Strategies, Ethical Use of Predictive Models in Education.
Module 5: Tools and Technologies for Educational Data Analysis: Using Excel, SPSS, and R for Education Data Analysis, Introduction to Python and Jupyter Notebooks, Learning Analytics Tools (Power BI, Tableau, Google Data Studio), Integrating LMS and SIS Data, Using Learning Record Stores (LRS), Introduction to AI in Education Analytics.
Module 6: Application and Reporting of Insights: Developing Data-Driven Educational Reports, Communicating Insights to Educators and Administrators, Case Studies of Data-Driven Educational Improvements, Designing Actionable Plans Based on Analytics, Measuring Impact of Interventions, Capstone Project: Data Analysis for a Real-World Educational Problem.
GSDCI Online Assessment Detail:
- Duration- 60 minutes.
- Number of Questions- 30.
- Number of Questions from each module: 5.
- Language: English.
- Exam Type: Multiple Choice Questions.
- Maximum Marks- 100, Passing Marks- 50%.
- There is no negative marking in any module.
| Marking System: | |||
| S.No. | No. of Questions | Marks Each Question | Total Marks |
| 1 | 10 | 5 | 50 |
| 2 | 5 | 4 | 20 |
| 3 | 5 | 3 | 15 |
| 4 | 5 | 2 | 10 |
| 5 | 5 | 1 | 5 |
| 30 | 100 | ||
| How Students will be Graded: | |||
| S.No. | Marks | Grade | |
| 1 | 91-100 | O (Outstanding) | |
| 2 | 81-90 | A+ (Excellent) | |
| 3 | 71-80 | A (Very Good) | |
| 4 | 61-70 | B (Good) | |
| 5 | 50-60 | P (Pass) | |
| 6 | 0-49 | F (Fail) | |
Benefits of Certification:
1. Global Recognition & Credibility – Stand out worldwide with a certification that strengthens your professional profile across borders and demonstrates your skills to employers and institutions.
2. Quality Assurance through ISO Certification – Programs follow an ISO-certified quality management system to promote consistency, reliability, and a standardized learning experience.
3. Career Advancement & Employability – Enhance your résumé, demonstrate professional competence, and improve your prospects for career growth, promotions, or suitable job opportunities.
4. Non-Profit Trust Factor – Certification from a non-profit organization reflects a mission-driven approach focused on skill development, professional learning, and public benefit.
5. Access to Learning Resources – Gain access to useful learning resources such as e-books, mock tests, assessments, and online academic support.
6. Transparency & Online Verification – Each certification includes a unique enrolment or certificate ID, enabling convenient online verification by employers and other interested parties.
7. Lifetime or Long-Term Validity – Certifications may offer lifetime or extended validity, reducing the need for frequent renewal, subject to the applicable certification scheme.

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