In this course, we cover Python packages that are commonly used for data analysis. These packages include handling CSV files, Numpy (‘Numerical Python’), SciPy (used for scientific and technical computing) and Pandas (data analysis library).
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What you'll learn
You would learn to code and execute simple data analysis programs in Python
Learn to use powerful extensions available in Python
You would learn to manipulate large and varied datasets by getting hands-on, practical experience working on real-life data problems on anonymised datasets
You would gain a working knowledge of a few of the most commonly used Python modules, used by data scientists
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Duration study load
Python data course certificate on completion (assessment based)
Python data course notes
Practical python data course exercises, Python data course homework/python data course revision work
To assist after the course, 1 free session for questions online python data course via Skype or Teamviewer
Who's it for?
The course is useful for professionals who anyone who use data as part of their work and who need to draw analysis from the data. It is best to have an understanding of programming already.
What are ‘modules’ and how can they be useful for data analysis tasks.
Reading and writing CSV files into a Python program: The CSV module.
Identifying and fixing errors in datasets.
Pandas: Indexing, Iteration, Functions, aggregation, merge/join. Comparison with SQL.
The Python NumPy Module: Working with arrays, array manipulation, string, math, arithmetic and statistical functions.
Introduction and overview of SciPy.
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Course fees – £600
No government funding available for this course
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