About the course

The program offers a comprehensive Data Science curriculum. Students learn the basics of Statistics and Probability, Machine Learning techniques, Deep Learning AI models and Optimization strategies. They master Data visualizationn strategies and Big Data Analytics as well. 

Key Highlights

• Each week, students spend 16 hours in the classroom learning concepts and gaining hands-on experience in the latest Data Science technologies
• Students solve some real problems as part of the midterm hackathons and finally work on project hackathon and defend their work
• The institute offers a guaranteed internship to all PGP students

curriculum

• Foundations of probability & statistics for Data Science
• Essential engineering skills in Big Data using R & Python
• Statistics & probability in decision modeling
• The art & science of storytelling & data visualization
• Methods & Algorithms in Machine Learning
• Foundations if text mining & search
• AI & decision sciences
• Applying ML to Big Data using Hadoop a7 Spark ecosystem
• Building end to end data science applications
• Communication, ethical and IP challenges for analytics professionals

Eligibility & Selection Criteria

Eligibility:

• Graduation with a basic understanding of Mathematics, Statistics, and Programming
• Knowledge of the English language is mandatory as the entire course will be delivered in English

Selection:

Selection in the program is on the basis of an entrance test. Applicants will be admitted to the program based on their performance in the entrance test, prior academic background, work experience and subject to availability of the seats. 

Tools

R, Python (Keras, Tensorflow), Spark, Hive, Pig

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