| Attribute | Detail |
|---|---|
| Format | Online, self-paced course |
| Level | Basic / Beginner |
| Duration | 2–3 Weeks |
| Certification | e-Certification |
| Fee | ₹199 / $20 |
| Tools | Big Data Data Storage Data Processing Data Analytics Data Systems |
About the Introduction to Big Data Course
The Introduction to Big Data course is a free, beginner-friendly self-paced program designed to help learners understand how large-scale data is generated, processed, and used in modern systems.
The course introduces key concepts such as big data characteristics, data sources, storage, and basic analytics. Learners will explore how organizations use big data to gain insights, improve decision-making, and build data-driven solutions. This course is ideal for beginners who want to understand the role of big data in technology and business.
Program Highlights
• Free beginner-level big data course
• Online self-paced learning format
• Simple explanation of big data concepts
• Covers data storage, processing, and analytics basics
• Real-world examples from business and technology
• Suitable for students and non-technical learners
• e-Certification upon successful completion
Course Curriculum
Module 1: Introduction to Big Data
- What is Big Data?
- Characteristics of Big Data: Volume, Velocity, and Variety
- Importance of Big Data in Modern Systems
- Applications of Big Data
Module 2: Sources and Types of Data
- Structured vs Unstructured Data
- Data from Social Media, Sensors, and Systems
- Data Generation and Collection
- Importance of Data Quality
Module 3: Big Data Processing Basics
- How Big Data is Stored and Managed
- Introduction to Data Processing Concepts
- Batch vs Real-Time Processing: Basic Idea
- Overview of Data Pipelines
Module 4: Big Data Analytics
- Understanding Data Analysis at Scale
- Extracting Insights from Large Data
- Basic Idea of Predictive Analytics
- Use Cases in Business and Technology
Module 5: Applications and Future Scope
- Big Data in Business, Healthcare, and Finance
- Role of Big Data in AI and Machine Learning
- Career Opportunities in Big Data and Analytics
- Mini Learning Activity / Concept-Based Practice
Tools, Techniques, or Platforms Covered
Big Data Data Storage Data Processing Data Analytics Data Systems
Real-World Applications
- Analyzing large datasets for business insights
- Processing real-time data from social media and sensors
- Supporting decision-making in large organizations
- Enabling AI and machine learning systems
- Preparing for advanced learning in data engineering and analytics
Who Should Attend & Prerequisites
- This course is suitable for students, beginners, freshers, and professionals who want to understand how large-scale data systems work.
- It is also useful for learners from computer science, engineering, business, management, and non-technical backgrounds interested in data.
Certification
