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Data Analyst Toolkit Course - UTS Open
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Data Analyst Toolkit



01 August




4 wks

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Meet the Expert

Matineh Pooshideh

Matineh Pooshideh

Matineh is a Lead Data Scientist at Truuth, Sydney, Australia, working on real-world problems related to Machine Learning and Computer Vision. She is also a Master of Research student at Macquarie University, Sydney, Australia, working on complex research problems in the area of computer vision and machine learning. She has extensive experience in tutoring at university, both in her Bachelor's and Master of Research in the areas of Data Science and Software Engineering. 

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Learn about the key tools, platforms and functions that you will need to work in the data science field, in positions such as a data analyst.

About this course

This course is a collaboration between UTS and ITIC.ITIC logo[1].png

This short course will provide you with a foundational understanding of the key areas and tools used by data analysts and data scientists to help start your journey into artificial intelligence (AI) and data. You will navigate through coding and databases, and become prepared to solve different real-world problems with data analytics tools.    

Course structure

The 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.

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).

Learning outcomes

On successful completion of this course, participants will have an understanding of data and how to utilise it in effective ways through collection and curation, database queries and visualisations.

Participants will 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.



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.

Who is this course for?

This course is suitable for:

  • Recent graduates looking to expand their skills
  • Professionals who would like to start their journey in data science
  • Anyone looking for a quick and effective way to upskill into the data science, AI and machine learning fields.


Book a session

Tue 01 Aug 2023 -
Thu 24 Aug 2023
Expert: Matineh Pooshideh
  • Online via Zoom
  • Online
  • 8 sessions, 32 hours total

Enrolments close at 11.59pm, 31 July 2023 (AEST)

Tue 07 Nov 2023 -
Thu 30 Nov 2023
Expert: Matineh Pooshideh
  • Online Via Zoom
  • Online
  • 8 sessions, 32 hours total

Enrolments close at 11.59pm, 6 November 2023 (AEST)

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Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.