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Learn Python Language Nexacu

Python Courses - Basics - New Zealand

Learn the basics of Python programming for data analysis.

Python is a very versatile programming language and broad in its application. While Python can be used for everything from developing websites to programming robots, our courses focus on using Python for data analytics. 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.

Our basics course focuses on the core elements of working with Python for Data Analysis. We introduce Anaconda and JupyterLab and the basics of Python syntax. Our experienced trainer and Data Scientist will teach you how to work with objects in Python, access and manipulate dataframes, how to use functions and methods and create basic visualizations. Read our full course outline below.
All classes delivered remotely, instructor-led training live online from New Zealand.

Python Courses - Basics - New Zealand

Learn Python Language Nexacu
Learn the basics of Python programming for data analysis. Work in JupyterLab and Anaconda environments.
NZ$730
10 max
1 day

Frequently Asked Questions

Meet your Trainer

Trainer Tamara

Tamara Shatar holds a PhD in Agricultural Data Science. She has extensive experience, including many years working as a research scientist focused on data analysis, modelling using machine learning, simulation and other techniques. While working in both academia and at the Australian CSIRO, part of her role included teaching a variety of data analysis skills. She is consistently well reviewed by her students. 

"The course was really good, Tamara is an excellent trainer and was able to answer my questions, the resources she provided to help after the course are excellent. I was a bit overwhelmed at the beginning trying to learn a new language, but Tamara put me at ease and went through the content at a pace that I could understand." -Using R Beginner Brisbane, Australia 

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 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. 

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. There are over 237,000 packages which have been contributed, which extend the functionality of the Python Standard Library. These packages contain functions to perform a wide range of tasks. 



Python Basics New Zealand Course Details

Price
NZ$730
Duration
1 day
Times
11am - 6pm (approx.)
Class Size (max)
10
Class Size (avg)
5
Reference Materials
Provided
CPD Hours
6 hours
Delivery
Instructor-led training
Live Online
Address
Remote Classes
Queen St
Auckland CBD
Auckland 1010
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Python Course Outlines

  • Python Basics
    NZ$730
  • Data Analysis in Python
    NZ$730
  • Python Intermediate
    NZ$730
  • Python Certification
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Course Rating
Python Training Courses

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4.72 out of 5
32977 Student Reviews

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What do I need to know to attend?

No specific pre-requisites for the course.

The course is aimed at those who are new to Python.

Python Basics New Zealand Learning Outcomes

You will will be familiar with and competent in:

  • Creating and managing environments in Anaconda
  • Installing packages in conda environments
  • Working in JupyterLab and with Jupyter Notebooks



  • Creating basic markdown files
  • Creating and manipulate objects
  • Using functions and methods
  • Creating basic data visualizations

Python Basics New Zealand Course Content

  • 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
  • Vectorized arithmetic
  • Vectorized functions
  • Broadcasting
  • Creating new columns with vectorized 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 Visualization
  • 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

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