Python Training Course - Advanced

Learn Python for data analysis, instructor-led course.

Following on from our Python Intermediate course, Python Advanced will build on your knowledge of Python and pandas. The focus of this course is learning to work more efficiently in Python.

You will learn to use control flow structures and loops and write your own custom functions and classes to automate analyses and improve efficiency. Other learning outcomes include the use of method chaining and pipes to perform multiple operations on DataFrames, the creation of interactive visualisations with Bokeh and the writing of code to automate these processes.

Python Training Course - Advanced

Following on from our Python Intermediate Course, Advanced Python for Data Analysis will build on your knowledge of Python and pandas. You will learn to use control flow structures and loops and write your own custom functions and classes to automate analyses and improve efficiency.

$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day
$745
10 max
1 day

Remote East

Brisbane

Sydney

Parramatta

Melbourne

Canberra

Adelaide

Perth

Remote West

Upcoming Courses:
Remote East
Date
Course
City
Status
Fri 7 Mar 25
Fri
7
Mar
Python Advanced
Remote East
Status: Confirmed
Confirmed
Mon 17 Mar 25
Mon
17
Mar
Python Advanced
Remote East
Status: Scheduled
Scheduled
Brisbane
Date
Course
City
Status
Fri 7 Mar 25
Fri
7
Mar
Python Advanced
Brisbane
Status: Scheduled
Scheduled
Sydney

We currently have no public courses scheduled. Please contact us to register your interest.

Parramatta

We currently have no public courses scheduled. Please contact us to register your interest.

Melbourne

We currently have no public courses scheduled. Please contact us to register your interest.

Canberra
Date
Course
City
Status
Mon 17 Mar 25
Mon
17
Mar
Python Advanced
Canberra
Status: Scheduled
Scheduled
Adelaide

We currently have no public courses scheduled. Please contact us to register your interest.

Perth

We currently have no public courses scheduled. Please contact us to register your interest.

Remote West

We currently have no public courses scheduled. Please contact us to register your interest.

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Frequently Asked Questions

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.

"The trainer was engaging, explains concepts well and is accommodating to questions. I found the Python Intermediate pulls together the content from the previous two course in a practical way. There is plenty of material to refer to assist in real data analysis projects." - Python Advanced, Sydney

Is Python compatible with Microsoft?

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.

What is Remote Training?

Remote training at Nexacu means our experienced trainers will deliver your training virtually. 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 in the course. Students have the same level of participation and access to the trainer as they would in classroom training sessions.

Python Advanced Course Details

Price
$745
Duration
1 day
Times
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
microsoft_gold

Python Advanced Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 8
201 Charlotte Street
Brisbane QLD 4000
microsoft_gold

Python Advanced Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 24/477 Pitt Street
Sydney
New South Wales 2000
microsoft_gold

Python Advanced Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 7
79 George Street
Parramatta NSW 2150
microsoft_gold

Python Advanced Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 12A
45 William Street Melbourne VIC 3000
microsoft_gold

Python Advanced Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
NEW LOCATION
Level 2
221 London Circuit
Canberra ACT 2600
microsoft_gold

Python Advanced Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 15
33 King William Street
Adelaide 5000
microsoft_gold

Python Advanced Course Details

Price
$745
Duration
1 day
Time
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
Training Computer
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Address
Level 7
553 Hay Street
Perth WA 6000
microsoft_gold

Python Advanced Course Details

Price
$745
Duration
1 day
Times
9am-4pm
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
microsoft_gold

Python Course Outlines

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What do I need to know to attend?

Python Advanced builds upon the skills learned in our Python Beginner and Python Intermediate courses.

Students should have attended these courses or be very familiar with the concepts covered in them. You will not be expected to write code from scratch but having these skills will better enable them to engage with the content.

The minimum requirements are being comfortable with:

  • Python
  • Python built-in data structures
  • lists, dictionaries, tuples and sets
  • pandas DataFrames
  • DataFrame methods
  • Basic familiarity with Matplotlib

Python Advanced Learning Outcomes

In this course, you will learn to:

  • create user-defined functions and classes
  • use loops and other control structures, plus alternatives
  • use method chaining and pipes to perform multiple operations on DataFrames



  • create interactive visualisations with Bokeh
  • write code to automate these processes

Python Advanced Course Content

  • 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
  • Loafing functions for reuse 
  • lambda expressions 
  • Loops and Other Control Structures 
  • if…elif...else 
  • for loops 
  • Loop over sequences 
  • Loop over ranges 
  • Enumerate
  • Loop over pandas groups 
  • Loop 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 
  • Add tooltips
  • Plotting from a grouped pandas
  • DataFrame
  • Save your Bokeh chart

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