Key benefits of this course
On successful completion of this course, participants should have an understanding of data and how to utilise it in effective ways through collection and curation, database queries and visualisations.
Participants should specifically be able to:
- Implement machine learning algorithms in python
- Design relational databases and use SQL statements in any database management system
- Provide visualised reports using data analytic tools.
Digital badge and certificate
A digital badge and certificate will be awarded following the successful completion of any necessary tasks or assessments to demonstrate acquired learning of the short course or for meeting attendance and/or participation requirements.
Learn more about UTS Open digital badges.
Course outline
This course comprises four modules. The course is run as virtual classroom workshops with a small group, focusing on one specific tool in the data analyst toolkit. Learners are expected to attend all sessions.
Module 1 - Python
- Data types, function
- Numpy
- Pandas
- Matplotlib.
Module 2 - SQL
- SQL for data science
- Basics, Functions
- Storing and grouping.
Module 3 - Tableau
- Fundamentals
- Visual analytics
- Exploring tableau, problem solving.
Module 4 - Power BI
- Connect to data with Power BI
- Data manipulation, visualizations
- Data analysis expressions (DAX).
Requirements
Mandatory
To participate in this online course, you will need a personal computer with adequate internet access, web conferencing capability and an operating system with a web browser compatible with Canvas, Zoom and Microsoft Teams.
Enrolment conditions
Course purchase is subject to UTS Open Terms and Conditions.
COVID-19 response
UTS complies with latest Government health advice. Delivery of all courses complies with the UTS response to COVID-19.
Contact us
For any questions on enrolment or payment, please email support@open.uts.edu.au
If you have a specific question on course content or requirements, please feitshortcourses@uts.edu.au
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