About the course:
This course builds on our entry level Python course to prepare students for the associate-level PCAP certification.
In addition to preparing students for the associate-level PCAP certification, this course will extend their analytical toolkit with additional material covering Python’s most popular analytics and visualisation libraries.
During six days of interactive study, students will cover advanced aspects of Python programming, including the essentials of object oriented programming (OOP), modules and packages and the exception handling mechanism in OOP. As well as covering fundamental computing concepts such as character encoding and filestream input/output, students will extend their practical Python toolkit to include advanced operations on strings and concepts such as comprehensions, lambdas, generators and closures.
These elements of the course will prepare students for the PCAP™ certification, providing a tangible goal and enabling them to validate the Python skills they have learned. They will also provide the foundation for students to learn applied analytics using Python’s industry-leading ecosystem of libraries - pandas, NumPy, Matplotlib and seaborn.
Students who complete this course will therefore not only be prepared for the PCAP™ certification, enabling them to validate the Python skills they have learned, but will be ready to apply these skills to a wide range of analytical challenges.
Sign up to this course to take your Python analytics skills to the next level and gain a valuable credential to further advance your programming career.
For more information about how to take the exam, see the Python Institute website for details on how to register.
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