Data science is an interdisciplinary field that uses scientific methods,processes, algorithms and system to extract knowledge and insights from noisy,strui and unstructured data and apply knowledge and actionable insights from data across a board range of applications domains.Data science is related to data mining, machine learning, and big data.In recent years,the field or data science has become very important and apparent in relation to the computer science field.Data science is a concept to unify statistics,data analysis,informatics and their related methods in order to understand and analyze actual phenomena with data.It uses techiques and theories drawn from many fields within the context of mathematics,statistics, computer science, information science and domain knowledge.However,data science is different from Computer science and information science.The syllabus of data science is constituted of three main components: Big data, machine learning, modelling in data science.The major topics in data science syllabus are statistics,coding,business intelligence,data structures, mathematics, machine learning, algorithms.

Data science syllabus for beginners:

Introduction to data science

Understanding exploratory data analysis

Machine learning

Model selection and evaluation

Data warehousing

Data mining

Data visualization

Cloud computing

Business intelligence

Storytelling with data

Communication and presentation.

Hi,
Data science is  defined as an interdisciplinary field of study which uses scientific processes, approaches, methods, systems and algorithms to extract requisite insights and information from structured and unstructured data.

You have to study the following topics in data science  -

Introduction to Data Science

Mathematical & Statistical Skills

Machine Learning

Coding

Algorithms used in Machine Learning

Statistical Foundations for Data Science

Data Structures & Algorithms

Scientific Computing

Optimization Techniques

Data Visualization

Matrix Computations

Scholastic Models

Experimentation, Evaluation and Project Deployment Tools

Predictive Analytics and Segmentation using Clustering

Applied Mathematics and Informatics

Exploratory Data Analysis

Business Acumen & Artificial Intelligence

Hope it helps..

School of Business, UPES Dehradun

Admissions Courses & Fees Placements Reviews

Shortlist

Brochure