Diploma in Big Data Analytics (Lateral Entry) is an advanced program designed for individuals with prior knowledge in data science, programming, or related fields. This course, typically spanning 1 year, focuses on data mining, machine learning, cloud computing, and statistical analysis to equip students with skills for handling large datasets efficiently. It covers Python, R, Hadoop, Spark, SQL, and NoSQL databases, along with real-world applications in business intelligence and predictive analytics. The lateral entry pathway allows students to skip introductory modules, accelerating their learning process. Graduates can pursue careers as data analysts, business intelligence professionals, or big data engineers in industries like finance, healthcare, and IT, where data-driven decision-making is crucial.
