An Overview of Data Science
offered by Oxford University

Public University
1 Campus
Estd. 1096

An Overview of Data Science
at
Oxford University
Overview

Learn everything you need to know about data science and give a boost to your professional career

Duration	10 weeks
Total fee	₹21,000
Mode of learning	Online
Course Level	UG Certificate

An Overview of Data Science
at
Oxford University
Highlights

Earn a certificate of completion from Oxford university
Hands-on exercises for practical exposure

An Overview of Data Science
at
Oxford University
Course details

Skills you will learn

Cloud Computing Data visualization Data Science Big Data

What are the course deliverables?

Learning about the Nature of Data & Data Science enabling technologies
Introduction to the Applied Data Science Pipeline Process
Exploring Data Visualisation & its application

More about this course

The course aims to introduce students to a blend of Data Science concepts and technologies in order to enable them to understand the everyday Data related issues, covering the Data Science Supply Chain from Data collection, to processing, analysis and visualisation
Enables one to analyse, communicate and reformulate raw Data in order to extract conclusions about that information

An Overview of Data Science
at
Oxford University
Curriculum

Week 1

Nature of Data, Big Data Phenomena

Week 2

Web, Internet, Cloud Computing, Data Bases

Week 3

Data Science Pipeline

Week 4

Introduction to Data Science Tools

Week 5

Data Cleaning/Data Publishing

Week 6

Practical Session Data Wrangling

Week 7

Data Visualisation Theory

Week 8

Relation Data Visualisation

Week 9

Practical Session on Data Visualisation Tools

Week 10

Assessment

An Overview of Data Science
at
Oxford University
Faculty details

Dr Sepi Chakaveh

Dr Sepi Chakaveh is Senior Associate Tutor (Data Science) at the Oxford University Department for Continuing Education. She has a degree in Electronic Engineering and a PhD in Experimental Astrophysics & Space Sciences. Sepi has been teaching and researching Dynamic Objects and Data convergence.