Data Science Course Introduction

Data Science refers to extraction of knowledge from large volumes of data that are structured or unstructured, which is continuation of data mining and predictive analytics. It involvesdifferentcategoriesofanalyticalapproachesformodellingvarioustypesof business scenarios and arriving at solution and strategies for optimal decision-making in marketing, finance, operations, organizational behaviour and other managerial aspects. This new field of study breaks down into a number of different areas, from constructing big data infrastructure and configuring the various server tools that sit on top of the hardware, to performing the analysis and developing the right transformations to generate useful results.

Data Science is an interdisciplinary field that combines the magic of programming, mathematics and business. Combined with Machine Learning it helps to identify a future trend which can be used to derive actionable insights for creating future impact.

These skills will help for the role of a Data Scientist. As a Data Science aspirant, learner will be emphasis in get the knowledge to share from the quantitative analysis to programming concept and extended to business intelligence. Data science can add value to any business which can use the data well. Data Science consists of 3 parts namely:

MachineLearning: Machine Learning involves algorithms and mathematical models, chiefly employed to make machines learn and prepare them to adapt to everyday advancements.

Big Data: Everyday, we are producing so much of data in the form of clicks, orders, videos, images, comments, articles, RSS Feeds etc. These data is generally unstructured and is often called as Big Data. Big Data tools and techniques mainly help in converting this unstructured data into a structured form.

Business Intelligence: Each business has and produces too much data every day. This data when analysed carefully and then presented in visual reports involving graphs, can bring good decision making to life. This can help the management in taking the best decision after carefully delving into patterns and details the reports bring to life.

What Does a Data Scientist Do? 

  • Empower the management and controlling officers to make better decisions
  • Direct actions based on trends, which in turn help to define new goals
  • Identify opportunities
  • Making decisions with quantifiable, data-driven evidence
  • Test the decisions taken
  • Identify and refine the target audiences
  • Recruit the right talent for the organization

Course Eligibility: 

Any student who has completed HSC or equivalent in Arts / Science / Commerce / MCVC with Mathematics or Statistics as one of the subjects.

Any student who has completed Diploma in IT / CS / Electrical / Electronics / Mechanical / Civil / Electronics and Telecommunication / Instrumentation and allied branches from MSBTE or equivalent board.

Any student who has completed HSC or equivalent in Arts / Science / Commerce / MCVC without Mathematics or Statistics will have to undergo a bridge course of 30 hours on Mathematics and Statistics.

Duration of Course: 3 years

Intake Capacity: 60

Scheme of Examination: Choice Based Credit System

Standards of Passing: 40%

No. of Years/Semesters: 3 years —6 Semesters