Course Number : SI-2026-12
Eligible students to participate : B.Tech. 2nd year, 3rd year and 1st year MTech and MSc DS
Prerequisites : Very good Aptitude and Reasoning Skills. Thorough understanding of at least 1 Programming Language (JAVA, PYTHON, C++)
Resource person(s) :
  • Ayandeep Ray
  • Akash Bhattacharya
  • Aritra Sen
  • Shamik Banerjee

(Based on Exact dates and availability, one of them will conduct)

Duration of the Course : 4 weeks – 100 hrs (Theory : 40hrs, Hands-on : 40hrs; Homework :20hrs)
Course Outcome :
  • Conceptual clarity on data cleaning, preprocessing and gathering insights.
  • Approaching any type of data – structured or unstructured
  • Exposure to machine learning algorithms to be industry ready
  • Good grasp of Python libraries including advanced ones like TensorFlow and Kera
  • Understanding of corporate discipline and nuances
Course Content :
  • Introduction and basics Of Data Science
  • Machine Learning Systems and Algorithms
  • Training Models
  • Support Vector Machines
  • Decision Trees
  • Ensemble Learning and Random Forests
  • Feature engineering and feature selection
  • Unsupervised Learning Techniques
  • Pipelines
  • DEEP Learning
  • Mini Project
Details...
Methodology of Course Delivery :
  • Online Live Classroom Teaching
  • Instructor led Hands-on Lab practices (online)
  • Sharing of Class Recordings, Reference Materials, Assignments, Projects 
Batch Size : 50
Course Schedule : 25th May 2026 -4th July 2026
Course Fees : 5500 INR
Residence Fee (optional) : 0 INR

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