Description
Course Name: Advanced Diploma in Data Management
Course Id: ADDM/Q1001.
Eligibility: Completion of 10+2 (higher Secondary) or equivalent.
Objective:
- To provide students with a deep understanding of the principles, tools, and techniques used in data management.
- To equip students with the skills required to manage large datasets, ensure data integrity, and optimize data-driven decision-making processes.
- To develop expertise in managing data systems, databases, and business intelligence (BI) tools to support organizational goals.
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: Introduction, database management system (DBMS), file organisation and its types, hash file organization, query processing, nested sub queries, relational database degin, query processing.
Data Structures and Algorithms: Types of data structures, advantages of data structures, basic operations, memory allocation of the array, accessing elements of an array.
Database Management Systems: Levels of data abstraction, overview of database design, conceptual database with the ER model, object based logical models, conceptual database design for large enterprises.
Statistics and Probability: Introduction, numerics, arithmetic, assignment, and vectors, matrices and arrays, special values, classes, and coercion, calling functions, conditions and loops. elementary statistics, basic data visualization.
Data Governance and Compliance: Introduction, regulatory compliance, management and storage, data classification and inventory, security/protection, physical security controls, electronic access security controls.
Advanced Statistics and Probability: Introduction, probability, classification of statistics, functions of statistics, importance of statistics, characteristics of statistics, stages in a statistical investigation.
Job Opportunities after completion of Advanced Diploma in Data Management course:
Graduates of the Advanced Diploma in Data Management are equipped with essential skills in handling, analyzing, and interpreting large sets of data, which are crucial for organizations to make informed business decisions. This program typically focuses on database management, data governance, data analysis, and data-driven decision-making, alongside tools such as SQL, Python, data visualization, and statistical analysis.
With the growing demand for data-driven insights in industries across India, professionals with expertise in data management are in high demand. Graduates can pursue various career paths in technology, finance, healthcare, retail, and more.
Career Options and Salary Range
1. Data Analyst
- Role: Collect, process, and analyze data to help companies make informed decisions. Data analysts use statistical tools and programming languages like R or Python to clean, process, and visualize data.
- Salary: ₹4–₹7 LPA for entry-level; ₹8–₹12 LPA for mid-level; ₹12–₹18 LPA for senior-level professionals.
2. Data Scientist
- Role: Analyze and interpret complex data to develop predictive models and algorithms. Data scientists often use machine learning, artificial intelligence, and advanced statistical methods to extract insights from large datasets.
- Salary: ₹8–₹12 LPA for entry-level; ₹15–₹25 LPA for mid-level; ₹25–₹40 LPA for senior-level professionals, especially in large firms or MNCs.
3. Database Administrator (DBA)
- Role: Manage and maintain databases, ensuring they are secure, optimized, and accessible. DBAs are responsible for backup, recovery, and performance tuning of databases used by organizations.
- Salary: ₹6–₹10 LPA for entry-level; ₹12–₹18 LPA for mid-level; ₹20–₹30 LPA for senior-level professionals.
4. Data Engineer
- Role: Design, implement, and maintain data infrastructure. Data engineers are responsible for ensuring the flow of data from various sources into a system where it can be analyzed.
- Salary: ₹7–₹10 LPA for entry-level; ₹12–₹18 LPA for mid-level; ₹18–₹25 LPA for senior-level engineers.
5. Business Intelligence Analyst
- Role: Use data analysis tools to collect and analyze business data. BI analysts create reports and dashboards that help companies make strategic decisions based on data insights.
- Salary: ₹5–₹9 LPA for entry-level; ₹9–₹15 LPA for mid-level; ₹15–₹25 LPA for senior-level professionals.
6. Data Governance Manager
- Role: Oversee the management of data across an organization, ensuring that data is accurate, accessible, and complies with relevant laws and regulations. This role also includes setting up data policies and standards.
- Salary: ₹8–₹12 LPA for entry-level; ₹15–₹25 LPA for experienced professionals.
7. Data Quality Analyst
- Role: Ensure the accuracy, consistency, and completeness of data within an organization. Data quality analysts monitor and improve data integrity and create reports to highlight data quality issues.
- Salary: ₹5–₹8 LPA for entry-level; ₹8–₹12 LPA for experienced professionals.
8. Data Architect
- Role: Design and create the architecture for data management systems. Data architects ensure that data systems are well-organized and optimized for performance, ensuring scalability and security.
- Salary: ₹12–₹18 LPA for entry-level; ₹20–₹30 LPA for mid-level; ₹30–₹40 LPA for senior-level professionals.
9. Machine Learning Engineer
- Role: Develop algorithms and models that allow systems to learn from data without explicit programming. ML engineers apply their skills in data management to build predictive models and artificial intelligence systems.
- Salary: ₹8–₹12 LPA for entry-level; ₹15–₹25 LPA for experienced professionals; Senior ML engineers can earn ₹30–₹45 LPA or more.
10. Chief Data Officer (CDO)
- Role: Oversee the entire data strategy for an organization, including data management, governance, and analytics. The CDO is responsible for ensuring that data is used strategically to meet business objectives.
- Salary: ₹25–₹40 LPA for experienced professionals; In top organizations, the salary can exceed ₹50 LPA for senior leadership roles.
Salary Growth Overview
- Entry-level: ₹4–₹7 LPA (roles like Data Analyst, Junior Data Engineer, or Data Quality Analyst)
- Mid-level: ₹8–₹15 LPA (roles like Data Scientist, Database Administrator, or BI Analyst)
- Senior-level: ₹15–₹30 LPA (roles like Senior Data Scientist, Senior Data Engineer, or Data Architect)
- Top-level roles: ₹30–₹50 LPA (Chief Data Officer, Lead Data Scientist, or Director of Data Management)
Factors Influencing Salary
- Industry: Sectors like IT, finance, and healthcare tend to offer higher salaries for data management professionals due to the critical importance of data in those industries.
- Location: Salaries are generally higher in metropolitan cities such as Bengaluru, Mumbai, Delhi, Pune, and Hyderabad due to the concentration of tech companies and multinational organizations.
- Experience and Expertise: Professionals with specialized skills in areas like machine learning, AI, or big data analytics tend to earn higher salaries. Experience in leading data teams or managing large-scale data systems also increases salary potential.
- Certifications: Additional certifications in tools like Python, SQL, Hadoop, and cloud platforms such as AWS or Azure can significantly boost salary expectations.
Industry Growth and Job Outlook
The demand for data professionals in India has been rapidly increasing, driven by industries’ reliance on big data, AI, and machine learning to improve business outcomes. As businesses across sectors increasingly adopt data-driven decision-making, the need for skilled professionals in data management has surged.
The Indian government and organizations have also prioritized building a data infrastructure, which is expected to fuel job growth in the data management field. This sector is expected to remain one of the fastest-growing areas in the tech industry, with a substantial number of job opportunities available in the coming years.
The growing emphasis on data privacy and protection also creates opportunities in areas like data governance, data security, and compliance. Graduates of the Advanced Diploma in Data Management can look forward to a rewarding career with numerous job roles and strong growth potential across industries in India.