Description
Course Name: Advanced Diploma in Data Management
Course Id: ADDM/Q1001.
Eligibility: Completion of 10+2 (higher Secondary) or equivalent.
Objective: This course offers in-depth knowledge of data management principles, including data collection, storage, governance, security, and analysis. It covers database systems, data quality, data integration, and compliance with data regulations. The program prepares learners to efficiently manage and utilize data to support informed decision-making and organizational objectives.
Duration: Six Months.
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- 120 minutes.
No. of Questions- 60. (Multiple Choice Questions).
10 Questions from each module, each carry 10 marks.
Maximum Marks- 600, Passing Marks- 40%.
There is no negative marking in this module.
| 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 | 41-50 | 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.
Syllabus:-
Introduction to Data Management: Overview of Data Management Concepts, Importance of Data in Decision Making, Data Lifecycle and Governance, Data Quality and Integrity, Types of Data (Structured, Semi-Structured, Unstructured), Introduction to Big Data and Analytics, Ethical Considerations in Data Handling, Data Compliance and Regulations (GDPR, HIPAA), Role of Data Managers in Organizations, Emerging Trends in Data Management.
Database Management Systems (DBMS): Fundamentals of Database Systems, Relational vs. Non-Relational Databases, SQL and NoSQL Databases, Database Schema Design, Normalization and Indexing, Query Optimization Techniques, ACID Properties in Databases, Transactions and Concurrency Control, Data Security and Backup Strategies, Cloud-Based Databases.
SQL and Advanced Database Queries: Basic SQL Commands (SELECT, INSERT, UPDATE, DELETE), Complex Queries and Joins, Stored Procedures and Triggers, Indexing for Performance Optimization, Window Functions and Aggregations, Data Import and Export Techniques, Query Optimization Strategies, Managing User Permissions and Roles, SQL for Data Analysis, SQL vs. NoSQL Performance Comparison.
Big Data Technologies and Processing: Introduction to Big Data Ecosystem, Hadoop Framework and HDFS, Apache Spark for Big Data Processing, Data Warehousing and ETL Concepts, Data Lake vs. Data Warehouse, Distributed Computing in Big Data, NoSQL Databases (MongoDB, Cassandra, HBase), Cloud Platforms for Big Data (AWS, Azure, Google Cloud), Data Processing with MapReduce, Streaming Data Processing with Apache Kafka.
Data Warehousing and Business Intelligence: Concept of Data Warehousing, Extract, Transform, Load (ETL) Process, Data Integration Techniques, Dimensional Modeling and OLAP, Data Mart vs. Data Warehouse, Business Intelligence Tools (Power BI, Tableau), KPI and Dashboard Development, Real-Time Data Analytics, Data Mining Techniques, Reporting and Visualization.
Data Security and Privacy Management: Data Security Principles and Best Practices, Encryption and Decryption Techniques, Data Masking and Anonymization, Access Control and Authentication, Secure Data Transmission Protocols, Cybersecurity Threats to Data, Backup and Disaster Recovery Planning, Regulatory Compliance in Data Security, Auditing and Monitoring Data Usage, Risk Assessment and Mitigation Strategies.
Job Opportunities after Advanced Diploma in Data Management (Precise):
This course builds expertise in data analysis, database management, and data-driven decision-making, leading to strong careers in the IT and analytics domain.
Top Career Options: Data Analyst, Data Scientist, Database Administrator (DBA), Data Engineer, Business Intelligence Analyst, Data Governance Manager, Data Quality Analyst, Data Architect, Machine Learning Engineer, Chief Data Officer (CDO)
Salary Range:
Entry-level: ₹4–₹7 LPA
Mid-level: ₹8–₹15 LPA
Senior-level: ₹15–₹30+ LPA
Top-level: ₹30–₹50+ LPA
Key Industries: IT, finance, healthcare, e-commerce, retail, consulting, and government sectors.
This field offers high demand, excellent salary growth, global opportunities, and strong career advancement in the data-driven economy.
