--- title: Big Data Analytics Certification | Learn Data Science description: Become a Big Data expert with Amity Online’s certification. Learn Hadoop, Spark, and data-driven decision-making for real-world applications. --- # Certificate in Big Data Analytics Post successful completion, apply for paid internship In Collaboration With Unlock the potential of big data with the Certificate in Big Data Analytics. This comprehensive, industry-focused program is designed to equip professionals and students with in-demand skills to analyze and interpret big data for actionable business insights. Learn state-of-the-art tools, technologies, and ethical practices in a flexible, self-paced environment. **Master the Fundamentals of Big Data:** Learn what big data is, its importance, and how it helps transform businesses. **Gain Expertise in Big Data Technologies:** Explore essential tools like Hadoop, Spark, and cloud platforms used by top organizations. **Solve Real-World Industry Challenges:** Work on practical projects to develop solutions for real industry problems. **Learn from Industry Experts:** Benefit from the experience and guidance of KPMG professionals and consultants. **Build Job-Ready Skills:** Acquire hands-on experience with data discovery, visualization, and predictive modelling tools like Python, R, Tableau, and Power BI. **Earn an Industry-Recognized Certification:** Validate your expertise with a certificate from KPMG, enhancing your career prospects. **Adopt Ethical Practices in Big Data:** Understand the importance of data ethics and how to handle data responsibly. **Gain Internship Opportunities:** Apply for a paid internship after you complete the program. **Experience Flexible Learning:** Learn anytime, anywhere with our expert-led recorded lectures. \*Paid internship will be as per organization's norms or on a first-come, first-serve basis. Hurry! First batch intake closes on 30 Aug 2026 — only 5 internship spots left! ## Skills you'll gain ### Big Data Analysis Analyze and interpret large datasets for actionable insights. ### Data Discovery Techniques Apply methods to uncover trends and patterns in data. ### Proficiency in Hadoop Ecosystem Work with Hadoop, MapReduce, Hive, and HBase. ### Cloud Computing for Big Data Utilize Google Cloud, Microsoft Azure, and AWS for data processing. ### Programming for Data Analysis Use R and Python for predictive modelling and analysis. ### Data Visualization Create compelling visualizations with Tableau and Power BI. ### Spark for Big Data Processing Leverage Apache Spark for fast, scalable big data operations. ### Industry-relevant Skills Real-world professional experience through an internship\*. ## Tools and Platforms covered ### 1\. Introduction to Big Data Understand the fundamentals of big data, its role in driving business innovation, and how organizations are leveraging it to move from traditional monitoring to transformative strategies using real-world examples. 1. What is Big Data? 2. Importance of Big Data 3. Business Transformation Imperative 4. Business Monitoring to Business Metamorphosis 5. Industry Examples of Big Data ### 2\. Big Data Technology ### 3\. Organizational Impact of Big Data           ### 4\. Big Data – Ethical Practices ### 5\. Introducing Big Data Technologies ## Earn and Share Your Certificate ## Meet our top-ranked faculty ### Dilip Balasubramanian Consultant Advisory-Transformation-BE, KPMG India ## Amity Online Advantages: Why We're the Right Fit for You ### Learn from Analytics Experts and Industry Veterans Learn from experienced faculty and industry professionals who specialize in data analytics. Our experts help you build dynamic skills and knowledge that meet industry standards. ### Real-World Case Studies and Data-Driven Projects Gain hands-on experience analyzing and interpreting big data using advanced tools. This practical approach prepares you to make data-driven decisions in any business setting. ### Flexible Learning for Busy Professionals Study at your own pace with a flexible curriculum designed to fit around your schedule, making it ideal for working professionals looking to upskill. ### Certification with Industry Recognition Receive a certification in Big Data Analytics from Amity University Online, respected by employers across multiple sectors. - Total Modules: 5 Gain insight into a topic and learn the fundamentals. - Duration 40 hours - Level: Beginner No prior experience required - Internship Be eligible for internship (paid/unpaid) - Fee: ₹~~52,000~~ ₹30,000 ## Program Overview and Structure ### 1\. Introduction to Big Data Understand the fundamentals of big data, its role in driving business innovation, and how organizations are leveraging it to move from traditional monitoring to transformative strategies using real-world examples. 1. What is Big Data? 2. Importance of Big Data 3. Business Transformation Imperative 4. Business Monitoring to Business Metamorphosis 5. Industry Examples of Big Data ### 2\. Big Data Technology Learn about the evolution of data technologies, the importance of open-source tools, and how cloud platforms enable efficient big data storage and processing. Gain clarity on critical terms in big data technology. 1. Old versus New Approaches 2. Data Discovery 3. Open-Source Technology for Big Data 4. The Cloud and Big Data 5. Big Data Technology Terms ### 3\. Organizational Impact of Big Data Explore how big data reshapes organizational decision-making, the end-to-end analytics process, and the role of data scientists. Understand challenges in implementing big data strategies and how to overcome them effectively. 1. Big Data Impacts 2. Data Analytics Lifecycle 3. Data Scientist Roles and Responsibilities 4. Challenges in Big Data 5. Developing Solutions Based on Big Data ### 4\. Big Data – Ethical Practices Develop an understanding of ethical principles in big data usage, how to align values with actionable practices, and strategies to mitigate risks associated with data misuse to maintain organizational trust. 1. Values and Actions 2. Elements of Big Data Ethics 3. Current Practices 4. Aligning Values and Actions 5. Data in the Wrong Hands – Challenges ### 5\. Introducing Big Data Technologies Gain hands-on experience with leading big data technologies such as Hadoop, Spark, and Hive, and understand their practical applications in cloud environments like AWS, Azure, and Google Cloud for scalable solutions. 1. Apache Hadoop 2. Hadoop MapReduce 3. Apache Hive 4. HBase 5. Spark 6. Big Data on Google, Microsoft, and Amazon Clouds ## Frequently Asked Questions ### What makes these certifications unique? These certifications are unique because they combine expert-led instruction, hands-on projects, and industry-relevant skills, preparing you to tackle real-world big data challenges and advance your career in a rapidly evolving field. ### Who is this program for? This program is for professionals and students who want to build expertise in handling, analyzing, and deriving insights from large datasets to advance their careers in data science, analytics, and related fields. ### What are the prerequisites for enrollment? There are no strict prerequisites for enrollment, but a basic understanding of programming, statistics, and data management concepts can help you make the most of the course. ### What tools and technologies will I learn? You will learn tools and technologies such as Hadoop, Spark, SQL, and data visualization platforms, along with big data processing and analytics techniques. ### How is the program structured? The program is structured to provide a comprehensive understanding of big data tools, technologies, and analytical techniques through interactive lectures, hands-on projects, and real-world case studies, preparing you for practical application in the industry. ### Will I receive a certificate upon completion? Yes, students will receive a certification upon successfully completing the program. ### How can I apply what I learn to my career? You can apply what you learn by leveraging big data tools and techniques to manage, analyze, and draw insights from large datasets, boosting your career prospects in data analytics, data engineering, and business intelligence roles. ### Does this program offer a paid internship? Yes! Students who successfully complete the program may become eligible for a paid internship with KPMG or its associates, depending on selection criteria. ### What roles are available in the paid internship? Interns work in consulting, analytics, product development, and business intelligence, handling dashboard development, data analysis, and strategic problem-solving. ### How much is the stipend? The average internship stipend is ₹8,000 per month. ### Where are the paid internships conducted? Paid internships are conducted in-person at KPMG India offices in cities such as: Gurugram, Noida, Bangalore, Mumbai, Pune, Chennai, Kochi, Kolkata, Chandigarh, and Ahmedabad. ### When do paid internships start? Paid internships are offered quarterly, with the selection process taking place in the last week of each quarter. ### Can I reapply if I don’t get selected? Yes, students can reapply twice, but only in alternate quarters. If a student declines a paid internship after selection, they will not be eligible to reapply. ### How do I enroll and what are the payment options? You can enroll by visiting our website and following the enrollment instructions. We offer various payment options, including credit/debit cards, online banking, and installment plans. ### Can I access course materials after completion? Yes, students will have continued access to learning materials even after completing the course.