Introduction to Python - Virtual Classroom

Date: Tuesday 22 September 2020 9.30AM - Friday 25 September 2020 1.00PM
Location: Online
CPD: 12.0 hours
RSS Training
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Python is an interpreted high-level programming language for general-purpose programming which is becoming the language of choice for many data analysts. Taught over four mornings, this tutor lead, virtual classroom is intended as an introduction to the Python programming language. Through the use of taught material and practical examples, participants will build up the skills needed to perform data analysis using Python.
 

Course Outline

Python is an interpreted high-level programming language for general-purpose programming which is becoming the language of choice for many data analysts. Taught over four mornings, this tutor lead, virtual classroom is intended as an introduction to the Python programming language. Through the use of taught material and practical examples, participants will build up the skills needed to perform data analysis using Python.
 

Learning Outcomes

By the end of the course, participants will have a good working knowledge of Python, allowing them to deal with and manipulate data. The final afternoon will bring all this together with a larger scale set of data on which participants will perform data analysis.
 

Topics Covered

Day 1: Introducing the Python Eco System, Types, Variables and Data Structure, Functions and Objects

Day 2: Numpy, Pandas and Matplotlib introduction, Data Anaylsis with Python
 

Target Audience

This course will appeal to anyone wanting to learn Python with no prior knowledge as well as those with a basic knowledge of Python who want to fully understand how the base language works. The course will also suit those wanting to know and understand the package Pandas and the use of dataframes in Python.
 

Assumed Knowledge

No prior knowledge is assumed.

All required software will be provided online.

 

Rob Mastrodomenico

Rob studied a BSc Mathematics and Statistics at the University of Reading. Thereafter, having particularly enjoyed the Statistics side of his degree, he stayed on at Reading to study for a Statistics PhD. Following the completion of his studies worked as a Quantitative Analyst at a statistical consultancy which undertook statistical research and provided sports modeling services in the betting sector.

In 2011 he started up his own company called Global Sports Statistics and has continued working in the sports modeling sector. His interest in Python really began back in 2010 when he was looking at alternatives to R and since then it has become his language of choice.

Rob conducts Python training courses for the Royal Statistical Society and has seen his Introduction to Python Course feature on Sages online training.

 

Fees

   

Registration before
22 August 2020

 

Registration on/after
 22 August 2020

                                  

Non Member 

RSS Fellow 

RSS CStat/Gradstat also MIS & FIS

 

£611.00+vat 

£520.00+vat 

£490.00+vat

£680.00+vat 

£577.00+vat 

£543.00+vat

 
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