Course description
Continuing Coding
Get to grips with a number of different Python packages that are commonly used for data analysis like Pandas, CSV, Numpy and SciPy.
Pandas, Numpy, SciPy and CSV are all libraries, which are a group of features and functionalities for the programming language Python. The libraries looked at in this intermediate course, are used mainly for data analysis and can help you can use to analyse, filter, manipulate, aggregate, merge, pivot and clean datasets.
This three-day course focuses on how to write and run simple data analysis in Python and builds on these using some of the extensions available in Python. You’ll also manipulate and clean data as well as use the stats library to conduct basic statistic tests.
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Upcoming start dates
Suitability - Who should attend?
Who is this course for?
Intermediate
For this course, you’ll need some basic experience with Python, be able to conduct simple statistical analysis. You also have the option to bring your own dataset if you have it.
Outcome / Qualification etc.
By the end of the course you will be able to;
- Conduct simple statistical analyses: The Python Numpy Module
- Combine For/While loops and Numpy for complex analysis
- Use Pandas to import and manipulate datasets.
Course delivery details
- Delivered online, face to face or blended, on campus or at our clients’ own venue
- Delivered internationally
- Designed to complement existing training
- A tailored version of an existing course or designed just for you
Expenses
Course Fee: £450