Certificate Course in Data Science | CC DS

In today’s data-driven society, Data Science provides a foundation for problem solving that impacts virtually all areas of the economy, including science, engineering, medicine, banking, finance, sports and the arts. Data science is an interdisciplinary field that focuses on analysing large amounts of data to identify inherent patterns, extract underlying models, and make relevant predictions.

This data science programme is designed to prepare students in wide disciplines who want to gain practical know-how of data analytics methods as it relates to their field of interest. It is designed to empower them to employ computational thinking and data science tools to solve practical business problems.

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Key Information

Objectives

  • Applications of principles of Data Science to the analysis of diverse problems.
  • Use software tools and algorithms from statistics, applied mathematics, computer science to model and analyse real-world data, communicate findings, and effectively present results using data visualization techniques.
  • Employ cutting edge tools and technologies to analyse large amounts Data.
  • Understand the ethical practices that are importantly and inevitably tied to data-driven decision making.

Learning Outcomes

At the successful completion of this program student will be able to

  • LO1: Apply principles of Data Science for analytics to diverse problems.
  • LO2: Demonstrate the use of various tools in the domain of Data Science for data visualization.

Eligibility Criteria

  • Diploma or UG in Engineering and Technology (COMP/IT/ETRX/EXTC/Allied) OR B.Sc IT/COMP OR
  • Candidates studying in final year of Diploma Engineering and Technology (COMP/IT/ETRX/EXTC/Allied Branches) / B.Sc IT/COMP OR
  • Candidates studying in pre-final / final year of UG Engineering and Technology (COMP/IT/ETRX/EXTC/Allied)

List of Courses

  • Fundamentals of Data Science
  • Mathematical Foundations for Data Science
  • Data Warehousing and Mining
  • Machine Learning
  • Data analysis and Visualization
  • Computational_Lab_I and II
  • Applied Project – I