Python Programming Course 1B: Data Analytics
Data analysis and analytics. Uncover insights and transform your organisation.
The ability to extract useful insights from big data is one of the most highly-valued skills in today’s knowledge economy. Python’s massive library of functions makes it easy to examine, filter, transform and visualise datasets in ways not possible with spreadsheets or relational databases. With the availability of user-friendly development environments such as Jupyter Notebook and Spyder, it’s easier than ever to get started.
This course is part two of a two-part Introduction to Python series. We recommend enrolling in both courses to gain entry level skills. Enrolment in both courses is not compulsory.
Please ensure Anaconda Python is installed on your device before class. For further details, see ‘Before the course’.
Aims
In this course, you will build on the fundamental Python programming skills acquired in the Python Programming Course 1A: An Introduction and learn to apply them to contemporary data analysis tasks, including social media analytics, text analytics, data visualisation and machine learning.
Outcomes
By the end of this course, you should be able to:
- use object-oriented functions
- work with sets
- perform list comprehension
- query data in an external database
- perform predictive analyses
- analyse text
- produce data visualisations.
Content
This course covers the following topics:
- Object-oriented programming
- Sets
- List comprehension
- Database access
- Predictive analysis
- Text analytics
- Data visualisation
Intended audience
Suitable for professionals and academics who want to develop more advanced Python skills and get a taste of Python’s extensive data analysis and visualisation capabilities.
Prerequisites
It is assumed you have computer and data literacy knowledge to the level of performing basic data analysis tasks, ie, basic (high school) algebra, percentages, probability, averages, line/bar charts. It is assumed you have completed Python 1A: An Introduction or equivalent.
Delivery style
- Workshop
- Computer-based training on your own device
Materials
You will be provided with online training materials including a mixture of step-by-step instructions and exercises. These materials will serve as a useful reference when working with Python in the future.
Bring your own device
You are required to bring your own device (Windows or Mac). You should ensure your device is fully charged as access to power is limited. Please note that University does not carry any responsibility for your lost, stolen, or damaged devices whilst on the University premises.
Before the course
Please ensure Anaconda Python is installed on your device before class. Version 3.x is required and can be downloaded from Anaconda.
Features
- Expert trainers
- Central locations
- Free, expert advice
- Course materials – yours to keep
- CCE Statement of Completion
<p>{block name:“Course Tagline - Data Analysis and Analytics”}</p><p>The ability to extract useful insights from big data is one of the most highly-valued skills in today’s knowledge economy. Python’s
...When | Time | Where | Session Notes |
---|---|---|---|
Tue 21 Jan 2020 | 9am - 5pm (UTC+11:00) |
<p>{block name:“Course Tagline - Data Analysis and Analytics”}</p><p>The ability to extract useful insights from big data is one of the most highly-valued skills in today’s knowledge economy. Python’s
...When | Time | Where | Session Notes |
---|---|---|---|
Thu 05 Mar 2020 | 5:30pm - 9pm (UTC+11:00) | ||
Thu 12 Mar 2020 | 5:30pm - 9pm (UTC+11:00) |
<p>{block name:“Course Tagline - Data Analysis and Analytics”}</p><p>The ability to extract useful insights from big data is one of the most highly-valued skills in today’s knowledge economy. Python’s
...When | Time | Where | Session Notes |
---|---|---|---|
Mon 23 Mar 2020 | 9am - 5pm (UTC+11:00) |
<p>{block name:“Course Tagline - Data Analysis and Analytics”}</p><p>The ability to extract useful insights from big data is one of the most highly-valued skills in today’s knowledge economy. Python’s
...When | Time | Where | Session Notes |
---|---|---|---|
Thu 30 Apr 2020 | 5:30pm - 9pm (UTC+10:00) | ||
Thu 07 May 2020 | 5:30pm - 9pm (UTC+10:00) |
<p>{block name:“Course Tagline - Data Analysis and Analytics”}</p><p>The ability to extract useful insights from big data is one of the most highly-valued skills in today’s knowledge economy. Python’s
...When | Time | Where | Session Notes |
---|---|---|---|
Thu 25 Jun 2020 | 5:30pm - 9pm (UTC+10:00) | ||
Thu 02 Jul 2020 | 5:30pm - 9pm (UTC+10:00) |
<p>{block name:“Course Tagline - Data Analysis and Analytics”}</p><p>The ability to extract useful insights from big data is one of the most highly-valued skills in today’s knowledge economy. Python’s
...When | Time | Where | Session Notes |
---|---|---|---|
Fri 13 Dec 2019 | 9am - 5pm (UTC+11:00) | Room 301 - Centre for Continuing Education |
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