;

Python Training Courses

Learn to use Python for data analysis

Tamara Shatar is our Data Analytics Lead, designing and delivering our Python and R courses. She holds a PhD in Agricultural Data Science and has extensive experience focused on data analysis, modelling using machine learning, simulation and other techniques. Part of her role while working in both academia and at the CSIRO, involved teaching a variety of data analysis skills.

Python is a very versatile programming language and broad in its application. While Python can be used for everything from developing websites to programming robots, our courses focus on using Python for data analytics. We are currently offering Python Courses from Basics to Intermediate level across Australia.

Python Training Courses

4.72

see reviews

Learn to analyse your data and create visualisations in our Python Training Course. Learn in-class or remotely.

$745

10 max

1 day

$745

10 max

1 day

$745

10 max

1 day

Frequently Asked Questions

What is Data Analytics?

Businesses are accumulating data at an increasingly fast rate. This data is valuable if management can use it to support and drive more effective decision making. Data analytics involves analysing data to produce meaningful insights, identify patterns and present findings in visualisations. It is the art of finding meaning in data.

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 and have collectively developed over 237,000 packages which extend the functionality of the Python Standard Library. These packages contain functions to perform a wide range of tasks.

What is Python used for?

Python has a very broad range of applications, including programming robots, web development, data analysis and automation. The machine learning packages are very popular and Python's speed and efficiency make it possible to work with very large amounts of data. Because of its simplicity, diversity of applications and the active community behind it, Python has been one of the most popular programming languages for several years.

Why use Python for Data Analysis?

Python has become popular as a general programming language because of its simplicity and power. It has also become very popular in the data science community and is a highly sought-after skill. The development of libraries such as NumPy, pandas and Matplotlib have made it easy to manipulate and visualise data. More complex machine learning and deep learning algorithms have also been implemented in Python. All of this functionality is available to Python users for free and can be used in conjunction with other programs, such as Power BI and Excel.

Can I use Python in Power BI?

Yes, Python can be used within a number of Microsoft products. In Power BI, reusable Python scripts can be used to manipulate data and create visualisations. In Azure, machine learning models can be written in Python and trained and deployed within the Azure Machine Learning Workspace.