Getting Started with Data Analysis in Python

In person 

This two-class course will introduce you to working with structured (tabular) data in Python. We will cover the basics of: 

• importing datasets 

• data cleaning, including dealing with missing or incorrectly formatted values 

• data wrangling 

• extracting summary statistics 

• data visualisation 

By the end of this course, you will be familiar with two key Python libraries used for data analysis: pandas (for working with data frames), and matplotlib (for data visualisation). 

We will work together on a sample dataset, but you are also welcome to bring your own. 

This course will be taught by Ponrawee Prasertsom. 

After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows. 

More details about Data Surgeries. 

Those who have registered to take part will receive an email with full details on how to get ready for this course. 

If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event. 

Level  

This workshop requires the following pre-knowledge:   

• Familiarity with working with Python through notebooks 

• Familiarity with handling and wrangling data and applying functions 

It will be sufficient for students to have taken the Introduction to Programming with Python course 

Learning Outcomes 

• Able to inspect Pandas dataframe's properties (like shape), slices (e.g. with .head() and .tail()) and summaries (using pivot tables) 

• Able to perform basic preprocessing techniques (e.g., de-duplication, filling missing data)
• Able to visualise pandas dataframes with common plot types (e.g., scatterplots and density plots) 

Skills  

• Reading and preprocessing data in Python with Pandas 

• Creating common visualisations using off-the-shelf functions with Seaborn 

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Return to the Training Homepage to see other available events