Big Data Analytics: Tools & Techniques

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The Department of Data Science and Statistics organised an insightful guest lecture on “Big Data Analytics: Tools & Techniques” on 21st November 2025 for the students of the fifth semester B.Sc. Data Science and Economics Analytics programme. The session was conducted by Mr. Yogesh P. Murumkar, CEO and Corporate Trainer at Bharat Software Solutions, a renowned expert in data-driven business solutions and technology training. The one-hour session, held from 1:30 PM to 2:30 PM, aimed to enhance students’ understanding of emerging analytical tools, industry practices, and the growing relevance of big data across sectors.

Mr. Murumkar began the session by introducing the concept of Big Data, highlighting its characteristics—the 5 V’s: Volume, Velocity, Variety, Veracity, and Value. He explained how organisations today generate massive amounts of structured and unstructured data, and how data analytics plays a pivotal role in strategic decision-making. His industry insights helped students connect theoretical concepts taught in class with real-world applications.

The resource person provided an overview of popular tools used in the field, including Hadoop, Spark, Hive, Tableau, Power BI, Python libraries, and cloud-based platforms such as AWS and Azure. He demonstrated how these tools assist in data storage, processing, visualisation, and predictive modelling. Students gained clarity on the workflow of a big data analytics project, from data collection and cleaning to model building and result interpretation.

A major emphasis of the talk was on employability skills. Mr. Murumkar highlighted the importance of programming proficiency, statistical reasoning, data storytelling, and problem-solving abilities. He also shared examples of industry case studies—from retail, healthcare, and finance—to illustrate how organisations use analytics to improve efficiency, personalise customer experiences, and forecast trends.

The session closely aligns with United Nations Sustainable Development Goal (SDG) 4: Quality Education, which promotes inclusive, equitable, and relevant learning opportunities. By exposing students to industry-relevant tools and emerging technologies, the session strengthened the practical learning ecosystem of the department. It supported the goal of preparing students for a rapidly evolving digital world by integrating skill-based training with academic learning.


The interactive nature of the session encouraged students to ask questions related to career paths, certifications, and project development. Mr. Murumkar addressed doubts with clarity and encouraged students to build strong analytical portfolios, participate in internships, and stay updated with trends in artificial intelligence, big data, and cloud computing.

The session concluded with a vote of thanks delivered by the faculty coordinator. Students expressed that the session deepened their understanding of analytics tools and inspired them to explore advanced data science concepts. The department conveyed its gratitude to Mr. Yogesh P. Murumkar for sharing his expertise and contributing to the professional development of the learners.

Overall, the session was highly informative and impactful, fostering industry-academic collaboration and enriching the learning experience of the 5th semester Data Science and Economics Analytics students.

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