Post Graduate Program in Data Science (PGP Data Science) ​

The PGP Data Science program provides a comprehensive curriculum designed to equip learners with essential skills and knowledge in data science. Participants engage in a structured learning journey that covers foundational concepts, statistical methods, machine learning techniques, and practical applications in data analysis. The program aims to foster proficiency in data manipulation, visualization, and interpretation, preparing individuals to leverage data-driven insights for decision-making and problem-solving in various domains. By completing the program, participants are expected to gain competence in using tools and frameworks commonly employed in data science, enabling them to contribute effectively to analytical projects and initiatives.

Program Highlights

Key Highlights

Comprehensive Curriculum: Covers foundational to advanced topics in data science, machine learning, and AI.

Mathematical Foundations: Includes rigorous training in mathematics, statistics, and probability theory.

Programming Proficiency: Focuses on Python/R programming languages and essential libraries (NumPy, pandas, etc.).

Comprehensive Curriculum: Covers foundational to advanced topics in data science, machine learning, and AI.

Data Handling: Techniques for data cleaning, preprocessing, and database management (SQL, NoSQL).

Machine Learning Mastery: Supervised and unsupervised learning techniques, model evaluation, and validation.

Advanced Topics: Deep learning, NLP, computer vision, and big data technologies (Hadoop, Spark).

Practical Experience: Hands-on projects, capstone project, and real-world applications in various domains

Ethics and Governance: Focus on ethical considerations, data privacy, and regulatory compliance.

Business Applications: Analytics tools (Tableau, Power BI) and techniques for predictive and prescriptive analytics.

Elective Options: Additional modules such as time series analysis, recommender systems, and reinforcement learning.

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