Python Advanced Course
Build on your Python Intermediate skills with Nexacu’s Python Advanced training course. This hands-on Python course focuses on writing more efficient, reusable code for data analysis using Python and pandas.
You will learn to use control flow structures, loops, custom functions and classes to automate analysis tasks. The course also covers method chaining and pipes for DataFrame workflows, interactive visualisations with Bokeh, and reusable code for data processing.
Completion of our Python Beginner and Python Intermediate course, or equivalent experience. You should be comfortable with Python syntax, data structures, pandas DataFrames, and basic plotting with Matplotlib.
Python Advanced is designed for learners who already use Python and pandas and want to improve how they structure, automate and repeat data analysis tasks. It suits analysts, data users, reporting professionals and technical learners who need to move beyond manual or one-off scripts.
The course supports practical workplace data workflows, including writing reusable functions, organising code with classes, applying efficient alternatives such as list comprehensions, and using method chaining to make pandas workflows clearer and more repeatable.
Learners will also work with interactive visualisation concepts using Bokeh and write code that can help automate common data processing and analysis steps.
We currently have no public courses scheduled. Please contact us to register your interest.
Python BeginnerLearn Python with this beginner-friendly Python course. Get started with Python programming, JupyterLab, and data analysis using pandas, no prior coding experience required.
Python IntermediateBoost your skills with our intermediate Python course. Learn data manipulation, build custom Python functions, and create visualisations with Matplotlib and Seaborn.
Introduction
Working more efficiently in Python
Automating frequent data analysis operations
Principles of working more efficiently with code
User-Defined Functions
When to create your own functions
Function basics
Parameters
Positional vs keyword arguments
Defining a function
Indentation
Scope
*args and **kwargs
Unpacking operators
Order of arguments in a function
Adding a docstring
Assertions
Loading functions for reuse
Lambda expressions
Loops and Other Control Structures
if...elif...else
for loops
Looping over sequences
Looping over ranges
Enumerate
Looping over pandas groups
Looping over multiple lists
while loops
else, break and continue
Saving results from a loop
Combining loops and functions
Loop and If-Else Alternatives
np.where() and np.select()
Conditional expressions
List comprehensions
Python built-in map() function
Evaluating performance efficiency
IPython and magic commands
pandas map()
pandas apply() and applymap()
User-Defined Classes
When to create your own class
Defining classes
Docstrings
The __init__() method
The self parameter
Class objects, attribute references and instantiation
Data attributes
Methods
Scope
Dunder methods
Performing Multiple Operations on DataFrames
Method chaining
Using pandas pipes with custom functions
Interactive Visualisations with Bokeh
Bokeh basics
Working with Bokeh in Jupyter
Glyphs
Providing data
Using the Bokeh toolbar
Customising the Bokeh toolbar
Creating links between plots
Using interactive legends
Adding tooltips
Plotting from a grouped pandas DataFrame
Saving your Bokeh chart
Is Python Advanced suitable for beginners?
No. Python Advanced is designed for learners who already understand Python basics, pandas DataFrames and basic plotting. If you are new to Python, start with our Python Beginner course, then complete the Python Intermediate course before moving into Advanced.
What are the prerequisites for Python Advanced?
Completion of our Python Beginner and Python Intermediate courses, or equivalent experience, is recommended. You should be comfortable with Python syntax, data structures, pandas DataFrames, and basic plotting with Matplotlib before attending this advanced Python training course.
What will I learn in Python Advanced?
You will learn how to work more efficiently in Python by using control flow structures, loops, user-defined functions and classes. The course also covers method chaining, pandas pipes, interactive visualisations with Bokeh, and reusable code for automating data analysis workflows.
Who should attend this Python Advanced course?
This course is suited to analysts, reporting professionals, data users and technical learners who already use Python and pandas, and want to write cleaner, more reusable code. It is useful for people who need to reduce repetitive manual steps in data preparation, analysis and visualisation.
What is the difference between Python Intermediate and Python Advanced?
Python Intermediate focuses on practical data analysis tasks such as importing, cleaning, manipulating and visualising datasets. Python Advanced moves further into efficient coding practices, including functions, classes, loops, method chaining, pipes, automation and interactive visualisation with Bokeh.
Will I learn to create my own Python functions and classes?
Yes. Python Advanced includes user-defined functions and user-defined classes. You will learn when to create them, how to structure them, how parameters and scope work, and how functions and classes can help make your Python code more reusable and efficient.
How does this course help with Python automation?
The course helps you automate common data analysis operations by combining loops, control structures, functions, classes and reusable code patterns. These skills can reduce repeated manual work when processing, transforming or analysing datasets.
Will I learn pandas method chaining and pipes?
Yes. The course covers method chaining and the use of pandas pipes with custom functions. These techniques help you perform multiple DataFrame operations in a more structured and readable way.
Will I create interactive visualisations in this course?
Yes. Python Advanced covers interactive visualisations with Bokeh, including Bokeh basics, working with Bokeh in Jupyter, glyphs, toolbars, linked plots, interactive legends, tooltips and saving Bokeh charts.
What Python tools and libraries are used in this advanced course?
The course builds on Python and pandas, with advanced use of DataFrames, functions, classes, loops and automation techniques. It also includes Bokeh for interactive visualisations and Jupyter-based workflows.
Is Python Advanced useful for workplace data analysis?
Yes. The course is focused on practical workplace data workflows, including automating repeated analysis steps, writing reusable code, performing efficient DataFrame operations and creating interactive charts that support data exploration and reporting.
What should I do after completing Python Advanced?
After Python Advanced, learners can continue building their broader data capability with related Nexacu courses in Power BI, SQL or Excel, depending on their role and reporting needs. These skills can complement Python for data analysis, business intelligence and automation workflows.
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View Dates Python BeginnerLearn Python with this beginner-friendly Python course. Get started with Python programming, JupyterLab, and data analysis using pandas, no prior coding experience required.
Python IntermediateBoost your skills with our intermediate Python course. Learn data manipulation, build custom Python functions, and create visualisations with Matplotlib and Seaborn.
Python Training in Brisbane
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Python Training in Melbourne
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