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Certified Data Analytist for Educational Outcomes

Certified Data Analytist for Educational Outcomes

6,000.00 3,000.00

50% fee concession will end in

To train professionals to analyze and apply educational data to improve student performance and institutional effectiveness.

Description

Course Name: Certified Data Analytist for Educational Outcomes

Global Occupational Skill Standard – GOSS ID: GOSS/ET/CDAEO/V1

Eligibility: Graduation or Equivalent or minimum 2 years of relevant experience (experience-based learners can directly enroll and certify).

Objective: The Certified Data Analyst for Educational 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).

Certification: Within 5 days after Completion of Online Assessment.

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 opens doors across borders. Trusted by employers, respected by institutions, and recognized in over 100 countries.

2. Quality Assurance through ISO Certification – Certified to global ISO standards, our programs deliver excellence, consistency, and a benchmarked learning experience that speaks for itself.

3. Career Advancement & Employability – Enhances your resume and increases chances of promotions or job offers.

4. Non-Profit Trust Factor – Certifications from non-profit organizations are mission-driven rather than profit-driven.

5. Access to Verified Learning & Resources – Often includes e-books, mock tests, and online support without hidden costs.

6. Transparency & Online Verification – Certifications come with a unique Enrolment ID for easy online verification by employers and institutions.

7. Lifetime or Long-Term Validity – Certifications usually have lifetime validity or long-term recognition, reducing the need for frequent renewals.

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A 50% fee concession is applicable on all certification up to 20th August 2026.

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