Data Analytics with Python: introduction

Course Dates: 15/09/20 - 08/10/20
Time: 18:00 - 19:30
Location: Online

Python is the most popular programming language for people working in the field of data analytics. Building on the skills you have learnt on one of our Introduction to Python courses or equivalent experience you will learn how to import data into Python, analyse it and then present it in a graphical format.

This course will be delivered online. See the ‘What is the course about?’ section in course details for more information.


What is the course about?

This course is concerned with the role of Python in the Data Analysis process. We will explore how to import data sets and use Python libraries for analysis and visualisation. Using the tools provided by the Anaconda package manager we will use more advanced development environments designed specifically for Data Science.

This is a live online course. You will need:
- Internet connection. The classes work best with Chrome.
- A computer with microphone and camera.
- Earphones/headphones/speakers.
We will contact you with joining instructions before your course starts.

What will we cover?

• What Data Science encompasses
• The Data Analyst’s workflow
• How to get the tools needed
• Import and analyse data using the Numpy and Pandas libraries
• Create 2D plots of our analysis using the Matplotlib library.

What will I achieve?
By the end of this course you should be able to...

• Import data to manipulate in Python
• Use Python libraries such as Numpy and Pandas to analyse and manipulate data
• Use the Python Matplotlib library for data visualisation.

What level is the course and do I need any particular skills?

You will have completed the Introduction to Python course at the College or equivalent. If self-taught you will need to be able to:
• Use print to give the user instructions
• Get input from a user using input
• Create variables and collect and store data of different data types
• Use the if and elif for selection
• Use for and while loops

You should also be able to follow spoken instructions, read written instructions and information, and discuss work with your tutor in English.

How will I be taught, and will there be any work outside the class?

This course will be delivered online, and will involve tutor presentation and class discussion. Student preparation and homework outside class times is strongly encouraged. To fully participate in this online class you will need:
- An email address
- A reliable internet connection
- A computer/laptop/tablet with a fully updated browser (preferably google chrome). Your device will need a microphone, and preferably a camera.

Are there any other costs? Is there anything I need to bring?

No other costs.

When I've finished, what course can I do next?

The natural progression for this course in the Data analytics with Python intermediate: importing and cleaning data followed by Data analytics with Python intermediate: analysing and visualising data. However you might want to pursue the Excel analytics root with our courses in Data analysis with Power BI, Excel analysing data (stage 1 & 2) or study advanced Python or Introduction to R programming.


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Reviews below are by students who have attended this course, regardless of the course teacher. Please be aware you may not be booking onto a course with the same teacher.

Very good and inspiring course. A must for anyone who is interested in Data Analysis with Python
Course Rating
Review by Anonymous / (Posted on 27/10/2019)
Tutor Biographies
Rich Cochrane

Rich is a programmer, writer and educator with a particular interest in creative practice. In his previous career he worked as a software developer in the CIty, first at a dot-com startup and later at a top-tier investment bank where he worked mostly on trading floor systems and got to play with a wide range of languages and technologies. He now teaches coding and maths-related courses full time. Besides his work at City Lit he also teaches at Central Saint Martins, the Architecture Association and the Photographer's Gallery and is the author of two books about mathematics. His technical collaborations with artists have been shown at, among others, the Hayward gallery, the V&A, the ICA and Camden Arts Centre. He has a BSc in Mathematics from the Open University. He also has a BA in English Literature and a PhD in philosophy (both from Cardiff). He continues to teach a little philosophy and literature, especially as they intersect with his other interests, and as a partner in Minimum Labyrinth he has brought these ideas to wider audiences in collaboration with the Museum of London, the Barbican and various private sponsors.

Please note: We reserve the right to change our tutors from those advertised. This happens rarely, but if it does, we are unable to refund fees due to this. Our tutors may have different teaching styles; however we guarantee a consistent quality of teaching in all our courses.

Book your place

Course Code: CADS02

Tue+Thu, eve, 15 Sep - 08 Oct '20

Duration: 8 sessions (over 4 weeks)

Full fee: £229.00
Senior fee: £183.00
Concession: £140.00

Or call to enrol: 020 7831 7831

Any questions?
or call 020 7492 2515

Please note: we offer a wide variety of financial support to make courses affordable. For more information visit our online Help Center. You can also visit the Information, Advice and Guidance drop-in service, open from 12 – 6.45, Monday to Friday.