Python Programming for Data Science - Part 1
offered by Oxford University

Public University
1 Campus
Estd. 1096

Python Programming for Data Science - Part 1
at
Oxford University
Overview

Basic elements of programming using the Python programming language will be introduced throughout the course

Duration	2 months
Total fee	₹21,200
Mode of learning	Online
Course Level	UG Certificate

Python Programming for Data Science - Part 1
at
Oxford University
Highlights

Earn a certificate of completion from Oxford university

Python Programming for Data Science - Part 1
at
Oxford University
Course details

Skills you will learn

Python Data Science Object oriented programming GIT Data structures Statistics Data visualization

What are the course deliverables?

To learn the basic aspects of Python programming for data science
To gain an appreciation for the end-to-end process of obtaining data, processing it, through to presenting results
Import data from local and/or remote sources and preprocess it
Extract significant information from the gathered data
Visualise the relevant features extracted from the data
How to create and add state and behaviour to a class in Python

More about this course

The aim of this course is to provide an introduction to programming for data science, using the Python programming language
The course seeks to introduce the basics of the data science process, from collecting data, pre-processing it (cleaning/correcting it), performing exploratory data analyses, visualizing data, and sharing analysis results
Students will need access to a computer capable of running the open-source software used in the course and access to the Internet
The course will rely on Jupyter Notebooks for interactive Python programming as they are widely used in Data Science

Python Programming for Data Science - Part 1
at
Oxford University
Curriculum

Week 1

Introduction to Data Science. Introduction to Git and the Anaconda environment

Week 2

Python basics: built-in types, functions and methods, if statement

Week 3

Python data structures: list, dictionaries, tuples; for...in loops

Week 4

NumPy and the SciPy ecosystem

Week 5

Pandas for data science I

Week 6

Pandas for data science II

Week 7

Data visualisation: matplotlib and seaborn

Week 8

Object-oriented programming: classes, inheritance, and applications

Week 9

Data gathering and cleaning. Text pre-processing for Natural Language Processing (NLP)

Week 10

Introduction to experimental design and statistical tests (SciPy and statsmodels)

Python Programming for Data Science - Part 1
at
Oxford University
Faculty details

Dr Massi Izzo

Massimiliano Izzo is a Research Software Engineer in the Department of Engineering Science, University of Oxford. He has a Doctorate in Bioengineering from the University of Genoa, Italy, and currently works in the department's FAIR Data Science team on developing innovative data models for the life sciences.