Python Intermediate - Training Course

Use Python for efficient Data Analysis

Following on from our Python Beginner course, Python Intermediate will build on your foundational knowledge of Python and pandas. You will learn how to manipulate data, create custom functions, plot with Matplotlib and display visualisations.

Understanding how to use Python for Data Analysis empowers you to be much more efficient and opens up the possibility of using a wide array of freely available tools. Read our full course outline below

Python Intermediate - Training Course

Use Python for efficient Data Analysis

$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
Mon 18 Nov 24
Mon
18
Nov
Python Intermediate
Remote East
Status: Confirmed
Confirmed
Thu 21 Nov 24
Thu
21
Nov
Python Intermediate
Remote East
Status: Confirmed
Confirmed
Wed 5 Mar 25
Wed
5
Mar
Python Intermediate
Remote East
Status: Confirmed
Confirmed
Brisbane
Date
Course
City
Status
Mon 18 Nov 24
Mon
18
Nov
Python Intermediate
Brisbane
Status: Confirmed
Confirmed
Wed 5 Mar 25
Wed
5
Mar
Python Intermediate
Brisbane
Status: Confirmed
Confirmed
Sydney
Date
Course
City
Status
Thu 21 Nov 24
Thu
21
Nov
Python Intermediate
Sydney
Status: Confirmed
Confirmed
Parramatta

We are currently developing these courses. Please contact us to register your interest.

Melbourne

We are currently developing these courses. Please contact us to register your interest.

Canberra
Date
Course
City
Status
Wed 5 Mar 25
Wed
5
Mar
Python Intermediate
Canberra
Status: Scheduled
Scheduled
Adelaide

We are currently developing these courses. Please contact us to register your interest.

Perth

We are currently developing these courses. Please contact us to register your interest.

Remote West

We are currently developing these courses. 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. 

"Great trainer, structure, material and manual. I have completed programming courses before but this one just made more sense!" - Using R Beginner 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 Intermediate 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 Intermediate 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 Intermediate 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 Intermediate 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 Intermediate 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 Intermediate 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 Intermediate 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 Intermediate 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 Intermediate 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?

Students should have attended our Python Beginner course or have a foundational knowledge of Python and pandas.

Python Intermediate Learning Outcomes

Upon completion of this course you will be able to:

  • use the extensive data manipulation capabilities of pandas DataFrames
  • customise the display of the output in Jupyter Notebooks
  • use the plotting capabilities of Matplotlib to plot distributions and bar charts
  • use the data visualisation library, Seaborn, and
  • fit a basic model using scikit-learn.

Python Intermediate Course Content

  • Introduction
  • Python Intermediate

 

  • User-Defined Functions in Python
  • Function basics
  • Parameters
  • Positional vs keyword arguments
  • Defining a function
  • Indentation
  • User-Defined Functions in Python (cont'd)
  • Scope
  • *args and **kwargs
  • Unpacking operators
  • Lambda expressions
  • Conditional expressions
  • List comprehensions

 

  • Modify the DataFrame Display
  • pandas options
  • Working with pandas styles
  • Applying a style that is not dependent on values
  • Formatting values
  • String formats
  • Applying a style that is dependent on values
  • Built-in conditional formatting

 

  • Export Notebook as
  • Export to PDF or HTML
  • Create slides
  • Copy vs View
  • Setting with copy warning
  • Working with Missing Values
  • Missing values
  • inf and -inf
  • Removing missing values
  • Replacing missing values

 

  • Importing Data
  • Importing into a pandas DataFrame

 

  • Manipulating Data
  • Summarise a dataset
  • Report and display multiple summary statistics
  • Ordering data
  • Manipulating Data (cont'd)
  • Working with dates
  • Add columns with assign()
  • Working with strings
  • Reordering and dropping columns
  • Manipulating Data (cont'd)
  • Selecting rows based on values
  • Grouping and summarising data
  • Replacing values
  • Concatenate data
  • Bin continuous variables into categories

 

  • Working with Relational Data
  • Joining data from two DataFrames

 

  • Visualising Distributions
  • Visual representation of distributions with Matplotlib and Seaborn
  • Histograms
  • Boxplots
  • Bar and column charts

 

  • Multivariate Analysis
  • Scatterplot matrix
  • Bar and column charts

 

  • Basic Modelling
  • Create a linear model with scikit-learn

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