Python is a very versatile programming language, broad in its application due to its simplicity and power. While it can be used for automation, artificial intelligence, web development, and more, this series of courses focuses on using Python for data analysis. You'll learn to manipulate, analyse, and visualise data more effectively with Python and related tools and libraries.
Following on from the Python Beginner course, this Intermediate course will build on your foundational knowledge of Python and pandas, and introduces more advanced techniques. You'll learn how to import and manipulate data, handle missing data, create custom functions, display visualisations, and basic modelling. You'll gain hands-on experience working with realistic datasets. You’ll practise importing data, cleaning and transforming it, exploring relationships using visualisations, and even building simple predictive models using scikit-learn.
Understanding how to use Python for data analysis empowers you to be much more efficient and opens up the possibility of using a wide array of freely available tools.
Nexacu Public Schedule
Nexacu is part of the Lumify Group, offering you the largest public schedule of end user applications and professional development training in Australia, New Zealand, and the Philippines. You can now access the schedule of courses and book, by clicking on the button below.
