Description
Certification Name: Certificate in Administrative Data Analysis
Course Id: CADA/Q0001.
Eligibility: Graduation or Equivalent.
Objective: The Certificate in Administrative Data Analysis course is designed to equip administrative professionals with essential skills in data collection, analysis, and interpretation to support business decision-making. The course covers data management techniques, use of spreadsheet and database software (such as Excel, Google Sheets, and basic SQL), data visualization, reporting, and key performance indicators (KPIs).
Duration: Three Month.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this 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 | 51-60 | C (Average) | ||||
| 6 | 40-50 | P (Pass) | ||||
| 7 | 0-40 | F (Fail) | ||||
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Assessment Modules:
Module 1: Introduction to Data Analysis for Administrative Roles: Understanding the Role of an Admin Data Analyst, Basics of Data Types and Sources, Introduction to Data Collection Methods, Overview of Data Privacy and Ethics, Importance of Data Accuracy, Tools for Data Analysis in Admin Work.
Module 2: Data Management and Organization: Data Cleaning and Validation Techniques, Using Spreadsheets for Data Organization, Creating and Managing Databases, Data Entry Best Practices, Handling Missing or Incomplete Data, Documenting Data Processes.
Module 3: Data Visualization and Reporting: Principles of Effective Data Visualization, Using Charts and Graphs in Excel and Google Sheets, Introduction to Dashboard Creation, Designing Reports for Management, Customizing Data Views for Stakeholders, Tools for Visual Data Presentation.
Module 4: Basic Statistical Analysis: Understanding Descriptive Statistics (Mean, Median, Mode), Using Pivot Tables and Filters, Introduction to Trend Analysis, Applying Simple Formulas and Functions, Identifying Patterns and Outliers, Basics of Data Interpretation.
Module 5: Using Data Analysis Tools: Introduction to Excel Advanced Features (VLOOKUP, Conditional Formatting), Overview of Google Data Studio, Basics of SQL for Admins, Introduction to Data Analysis Software (Tableau, Power BI), Automating Data Tasks with Macros, Data Exporting and Importing Techniques.
Module 6: Data-Driven Decision Support: Interpreting Data for Business Insights, Preparing Data for Presentations, Supporting Administrative Decisions with Data, Monitoring Key Performance Indicators (KPIs), Collaborating with Teams Using Data, Continuous Improvement through Data Feedback.
