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Python is a very versatile programming language, broad in its application due to its simplicity and power. While Python can be used for everything from developing websites to programming robots, our courses focus on using Python for data analytics.
Our Python basics course focuses on the fundamentals of working with Python for Data Analysis. We introduce Anaconda and JupyterLab and the basics of Python syntax. You will learn how to work with objects in Python, access and manipulate dataframes, how to use functions and methods and create basic visualisations. Read our full Python Basics course outline below.
Learn the basics of Python programming for data analysis. Work in JupyterLab and Anaconda environments.
Meet your Trainer
Tamara Shatar holds a PhD in Agricultural Data Science. She has extensive experience, including many years working as a research scientist focused on data analysis, modelling using machine learning, simulation and other techniques. While working in both academia and at the CSIRO, part of her role included teaching a variety of data analysis skills. She is consistently well reviewed by her students.
What is Remote Training?
Remote training at Nexacu, means our team of experienced trainers will deliver your training live online. With remote learning students can access our usual classroom training courses via video conferencing, ask questions, participate in discussion and share their screen with the trainer if they need help at any point. Students have the same level of participation and access to the trainer as they would in classroom training sessions. What is Python?
Python is a general-purpose programming language that is easy to use and learn. It is open source and free to use, including for commercial use. The Python user community is very active. There are over 237,000 packages which have been contributed, which extend the functionality of the Python Standard Library. These packages contain functions to perform a wide range of tasks.
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