Description

Course Name: Professional Diploma in Big Data Fundamentals

Global Occupational Skill Standard – GOSS ID: GOSS/PD-AID-BDF-018

Eligibility: 10+2 or equivalent

Language Type: English

Course Type: Self-Paced Online Learning

Objective: The Professional Diploma in Big Data Fundamentals aims to equip learners with the knowledge and practical skills required to understand, process, and analyze large volumes of data using modern Big Data technologies. The course focuses on Big Data concepts, data processing frameworks, storage methods, analytics techniques, and real-world applications to enable effective management and utilization of large-scale data.

Duration: 6 Months / 370 Hours

Steps to become a GSDCI Certified Professional:

Step 1: Select your Course you want to pursue.

Step 2: Click on get Enroll Now tab, new pop up window will open.

Step 3: Click on pay Course fee, you will be redirected to billing details page.

Step 4: Fill your details and click on pay course 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 Digital(PDF) copy of your Diploma & Marksheet will be sent to your registered email ID within 7 days.

Course Modules:

Module 1: Fundamentals of Big Data: Introduction to Big Data, Evolution of Big Data Technologies, Characteristics of Big Data, Big Data Concepts and Terminology, Types of Big Data, Big Data Challenges and Opportunities, Importance of Big Data Analytics, Big Data Applications Across Industries, Big Data Architecture Overview, Future Trends in Big Data.

Module 2: Big Data Storage and Management: Introduction to Big Data Storage Systems, Distributed File Systems, Hadoop Distributed File System (HDFS), Data Storage Models, NoSQL Database Concepts, Data Warehousing for Big Data, Data Lakes and Data Repositories, Data Management Strategies, Data Integration Techniques, Big Data Security and Governance.

Module 3: Hadoop Ecosystem and Big Data Processing: Introduction to Hadoop Framework, Hadoop Architecture and Components, MapReduce Programming Model, YARN Resource Management, Hadoop Ecosystem Tools, Data Processing Workflows, Batch Processing Concepts, Distributed Computing Principles, Hadoop Data Management, Real-World Hadoop Applications.

Module 4: Big Data Analytics and Processing Technologies: Introduction to Big Data Analytics, Real-Time Data Processing, Stream Processing Concepts, Apache Spark Fundamentals, Data Processing with Spark, Machine Learning with Big Data, Text Analytics and Natural Language Processing, Predictive Analytics Using Big Data, Data Visualization for Big Data, Big Data Analytics Applications.

Module 5: Cloud Big Data and Industry Applications: Cloud-Based Big Data Platforms, Big Data Services on Cloud, Data Engineering Concepts, Internet of Things (IoT) and Big Data, Big Data in Healthcare, Big Data in Finance, Big Data in Marketing, Big Data in Manufacturing, Big Data Business Intelligence, Industry-Based Big Data Case Studies.

Module 6: Advanced Big Data Technologies and Capstone Project: Big Data Architecture Design, Big Data Pipeline Development, Data Processing Optimization, Big Data Security and Privacy, Big Data Governance Frameworks, Emerging Big Data Technologies, Artificial Intelligence with Big Data, Big Data Project Management, Capstone Big Data Project Development, Final Project Presentation and Evaluation.

GSDCI Online Assessment Detail:

• Duration- 120 minutes.
• Number of Questions- 60.
• Number of Questions from each module: 10.
• Language: English.
• Exam Type: Multiple Choice Questions.
• Maximum Marks- 600, Passing Marks Above 40%.
• There is no negative marking in any module.

Benefits of the Professional Diploma

1. Globally Recognized Professional Diploma – Earn a professionally designed diploma that enhances your profile and demonstrates industry-relevant knowledge. Widely valued by employers, organizations, and institutions across multiple sectors.

2. Quality Learning with ISO-Certified Standards – Our training programs are developed under ISO-certified quality management practices, ensuring a structured, consistent, and high-quality learning experience.

3. Enhanced Career Opportunities – Strengthen your resume, improve your professional skills, and increase your potential for employment, career advancement, and new job opportunities.

4. Issued by a Non-Profit Skill Development Organization – The diploma is awarded by a mission-driven organization dedicated to promoting skill development, vocational education, and lifelong learning.

5. Comprehensive Learning Resources – Access quality study materials, e-books, practice assessments, mock tests, and learner support to help you successfully complete the program.

6. Secure Online Verification – Every diploma and marksheet is issued with a unique Enrolment ID and QR Code, enabling employers, institutions, and other stakeholders to instantly verify the authenticity of your credential online.

7. Lifetime Validity – The Professional Diploma is issued with lifetime validity and does not require periodic renewal, allowing you to showcase your achievement throughout your career.

8. Flexible Self-Paced Learning – Learn anytime and anywhere at your own pace, making it easy to balance your studies with work, business, or personal commitments.

9. Industry-Relevant Curriculum – The curriculum is designed to focus on practical knowledge, current industry trends, and real-world applications to improve workplace readiness.

10. Skill-Based Professional Qualification – Demonstrates your commitment to continuous professional development and validates your practical knowledge and skills in the subject area.

Job Opportunities after Professional Diploma in Big Data Fundamentals

Graduates of this program gain knowledge in big data concepts, data processing techniques, large-scale data management, distributed computing fundamentals, data storage systems, analytics approaches, and modern data technologies, preparing them for roles in data engineering, analytics, technology, and business intelligence sectors.

Key Career Options: Big Data Analyst, Data Analyst, Junior Data Engineer, Big Data Associate, Data Processing Specialist, Data Operations Analyst, Hadoop Developer (Trainee), Data Management Associate, Business Intelligence Associate, Database Analyst, Data Science Assistant, Freelance Data Analytics Consultant.

Salary Range (India):
Entry-level: ₹3–6 LPA
Mid-level: ₹6–12 LPA
Senior-level: ₹12–25+ LPA (higher with advanced big data technologies, cloud skills, and industry experience)

Industries Hiring Graduates: Information Technology Companies, Data Analytics Firms, Banking & Finance, Healthcare Technology, E-commerce Platforms, Telecommunications, Manufacturing Industries, Research Organizations, Consulting Firms, Government & Public Sector Organizations, and Enterprise Data Solution Providers.

Skills Developed: Big data fundamentals, data processing concepts, large-scale data management, distributed computing basics, data storage techniques, database concepts, data analytics, data handling, cloud data fundamentals, analytical thinking, problem-solving, and understanding of modern data ecosystems.

Graduates can progress to roles like Big Data Engineer, Data Engineer, Data Analytics Specialist, Cloud Data Associate, Data Architect, or specialize in advanced areas such as big data analytics, machine learning, cloud computing, and data engineering with experience, certifications, and practical industry projects.