Python Training Courses
Learn to use Python for data analysis
All classes may be attended remotely. Face-to-face classes as per city schedules.
Data analysis is a skill that's growing in demand. Learn how to use various programs to analyse and visualise your data. Use languages like R and Python, to manipulate, analyse and visualise data more effectively. Get started with Python Basics, the first training course in this series.
Our courses are developed in-house by our Data Analytics Lead, Tamara Shatar. Tamara holds a PhD in Agricultural Data Science and has extensive experience focused on data analysis, modelling using machine learning, simulation and other techniques. Our courses focus on providing students with the necessary knowledge and skills to confidently apply their learnings in the workplace and continue to develop their understanding and use of Python.
Python Training Courses
Learn to analyse your data and create visualisations in our Python Training Course. Learn in-class or remotely.
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, which you will learn at our Python courses.
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. For a python programming course built by professionals, join our course today.
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. Our Python course will make you more employable.
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.
Python Basics Course Details
Data Analysis in Python Course Details
Python Intermediate Course Details
Python Course Outlines
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Python Certification
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