Description
CPA Australia has partnered with Nexacu to bring you high quality, practical training in Microsoft Applications.
As a Microsoft Gold Partner, Nexacu offers CPA Australia members a range of workshops to enhance important technology capabilities.
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 and 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.
Key topics inclulde;
- Introduction
- Installing Python
- Anaconda and JupyterLab
- Using Python as a Calculator
- The Python Standard Library
- Working with Objects
- Data Types and Structures
- Pandas functions
- Accessing data within DataFrames
- Manipulating DataFrames
- Working with data in DataFrames
- Evaluation in Python
- Evaluation with Numpy
- Functions vs Methods
- Exporting Data
- Basic Data Visualisation
- Notebook to Markdown
CPA Australia handles your personal information in accordance with the CPA Australia Privacy Policy. By proceeding your information including email and name will be shared with Nexacu for the sole purpose of communicating information relevant to this workshop. You will receive further correspondence from Nexacu and be provided access to the Nexacu portal to allow you to manage any changes and access key information. Your satisfactory completion of the training module may be recorded against your CPD hours.
NOTE: Booking changes may be made using the Nexacu client portal up to 7 days before the course start date. Due to contractual obligations with our external provider, no refunds will be issued.
No catering other than tea and coffee is provided at this workshop.
Learning objectives
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 visualisations