Online | September 6, 2021,

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Academic / Student Discount (-25%)

Participant(s)

Course Details

Introduction to Python: A brief introduction to the Python language and development tools for writing Python
Data Types: An introduction to common Python data types, both from the language builtins such as lists and dictionaries and additional packages geared toward data analysis such as Pandas Series and DataFrame objects.
Visualisation: Create standard statistical graphics such as scatter plots and histograms from your data.
Summary Statistics: Apply common statistical summaries to your data sets using the power and speed of the numpy package.
Data Manipulation: Become comfortable with manipulating your data, filtering, merging and joining, grouped aggregation.
Data I/O: Load and save data from a variety of different data sources such as CSV files, Excel files and binary data storage formats.

By the end of the day, participants will understand…

crucial data structures and programming techniques with a focus on data analysis tasks
which python packages are useful for loading, manipulating and summarising data
how to create visualisations in Python

There are no pre-requisites for this course.

“The presenter really did an excellent job on explaining the content in the course and I believe that the actual content is very useful to know. I will definitely be using it”
“It was well structured, the materials were clear and professionally produced, good enough to be followed on their own”