Python Courses - Beginner
Learn the basics of Python programming
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 Beginner course focuses on the fundamentals of working with Python for Data Analysis. We introduce Anaconda, 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.
By the end of the course, you will be able to:
No prior experience with Python is required. This course is designed for complete beginners who have never used Python before.
We currently have no public courses scheduled. Please contact us to register your interest.
We currently have no public courses scheduled. Please contact us to register your interest.
Python IntermediateBoost your skills with our intermediate Python course. Learn data manipulation, build custom Python functions, and create visualisations with Matplotlib and Seaborn.
Python AdvancedAdvance your data skills with our Python advanced course. Automate analysis, write efficient Python code, and build interactive dashboards using pandas and Bokeh.
Introduction
Introduction to Python
Introduction to Anaconda and JupyterLab
The Python Standard Library
Installing Python
Anaconda
JupyterLab
Installing additional packages
Anaconda and JupyterLab
Using Anaconda
Working with environments
Launching JupyterLab
Working in JupyterLab
Using Jupyter Notebooks
Basics of running code
Markdown
Shutting down kernels and the Jupyter Server
Using Python as a Calculator
Arithmetic operators
Relational operators
Logical operators
The Python Standard Library
Built-in functions
Other functions in the standard library
Working with Objects
Objects in Python
What are objects?
Creating variables
Naming rules
Naming conventions for variables
Data Types and Structures
Built-in data types
Built-in data structures
Tuples, lists, ranges and dictionaries
Pandas Series and DataFrames
Which data structure should I use?
Pandas DataFrame
Attributes
Methods
Pandas functions
Creating DataFrames
Importing data into a DataFrame
Uploading data in JupyterLab
Accessing data within DataFrames
Accessing specific rows
Accessing specific columns
Accessing data subsets by name or position
Manipulating DataFrames
Making changes in place
Renaming columns and rows
Replace a single value
Replace multiple values
Add data to a DataFrame
Remove rows or columns
Filter based on condition
Sort data
Working with data in DataFrames
Calculating summary statistics
Evaluation in Python
Order of operations
Evaluation with Numpy
Vectorised arithmetic
Vectorised functions
Broadcasting
Creating new columns with vectorised arithmetic and functions
Functions vs Methods
What is a function?
Syntax for using functions in Python
Syntax for using methods in Python
Parameters and arguments
Getting help with a function
Overview of help documentation
Exporting Data
Export data to csv file
Basic Data Visualisation
Matplotlib
Create a scatterplot
Create a linechart
Add text
Add a legend
Exporting plots
Notebook to Markdown
View your completed Notebook as a rendered Markdown file
Course Introduction
Our Python courses were designed by Tamara Shatar, who holds a PhD in Agricultural Data Science. She focused her extensive experience and skills in modelling using machine learning, simulation and other techniques to create a course with depth and applicability.
The course is consistently well-reviewed by students.
"Very well presented and structured. Thank you for such a fruitful day." – Python Beginner, Sydney
What is Python used for?
Python is a versatile programming language used across data analysis, automation, artificial intelligence, web development, and more. In this course, you’ll learn how to use Python for working with data, creating basic visualisations, and simplifying repetitive tasks.
Is this course suitable for beginners?
Yes. This course is designed for complete beginners. No prior programming knowledge is required. We’ll start with the basics and guide you through setup, coding in Python, using Anaconda, and working with Jupyter Notebooks.
What tools will I learn to use?
You’ll learn to work in Anaconda and JupyterLab—industry-standard tools for data science. These platforms let you write, test, and document your code in one place. You’ll also gain hands-on experience using pandas, NumPy, and Matplotlib libraries.
What’s the difference between a function and a method in Python?
Functions and methods are both used to perform actions, but they differ in syntax and use. Functions stand alone, while methods are tied to objects like lists or DataFrames. You'll explore how to use both, and how to get help through built-in documentation.
Will I learn how to work with data?
Absolutely. You’ll learn how to create, import, and manipulate data using pandas DataFrames. You’ll practise filtering, sorting, renaming columns, calculating summary statistics, and exporting results.
What is Markdown and how is it used?
Markdown is a lightweight markup language used to format text in Jupyter Notebooks. You’ll use it to document your work, add headings, bullet points, and explanations to your code, making your notebooks clearer and more professional.
Do I need to install Python before the course?
No. The course will walk you through installing Anaconda, which includes Python and all the packages you need. We’ll help you set up everything during the session, whether you're learning in person or remotely.
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 the 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.
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View Dates Python IntermediateBoost your skills with our intermediate Python course. Learn data manipulation, build custom Python functions, and create visualisations with Matplotlib and Seaborn.
Python AdvancedAdvance your data skills with our Python advanced course. Automate analysis, write efficient Python code, and build interactive dashboards using pandas and Bokeh.
Python Training in Brisbane
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Python Training in Melbourne
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Python Training in Sydney
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Python Training in Adelaide
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Python Training in Perth
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Python Training in Parramatta
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Python Training in Canberra
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Python Training in Remote Online
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