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Data Analytics Part-Time

  • Short course or microcredential

Harness Excel, SQL, and Tableau to drive powerful analysis and insights. Build confidence and credibility to apply this versatile skill set to countless jobs.

Key details

Degree Type
Short course or microcredential
Duration
10 Week Part-Time OR 1 Week Intensive
Study Mode
In person, Online
Intake Months
Mar, May

About this course

A part-time (40 hr), in-person or remote, 10-week or 1-week  course designed to teach beginners how to perform defensible data analysis using Excel, SQL, and Tableau.

Study locations

Sydney

Melbourne

Online

What you will learn

Designed With a Focus on Real-World Relevance

Concentrate on the most important tools for performing data analysis on the job. GA’s analytics advisory board curates the best practices and innovative teaching approaches of our entire expert network to meet evolving employer demands. Its work ensures that students graduate ready to tackle the challenges they’ll face in the field.

Translate Data Into Meaningful Insights

Designed for students with a variety of professional backgrounds and experience levels — including beginners — this course takes a deep dive into the data analytics process: collection, cleaning, analysis, and visualisation. Get hands-on experience with Excel, SQL, and Tableau, and transform raw data into a critical decision-making tool.

Career pathways

By the end of this course, students are able to make sense of data sets and tell compelling, data-driven stories through data visualization tools to key stakeholders.

  • Approach the job market with a data driven mindset.  
  • Harness existing data to grow your business.
  • Bring data to the conversations in your existing role - ie. support marketing plans etc.
  • Better manage your data Team by knowing the skills first hand.

Course structure

Data Cleaning and Aggregation with Excel

Practice using Excel to conduct basic data cleaning, aggregation, analysis, and visualization.

  • The Value of Data + Data Narratives
  • Excel Fundamentals
  • Data Referencing
  • Data Aggregation
  • Data Visualization in Excel
  • Statistics in Excel

Querying and Organizing Data with SQL

Practice using SQL to conduct advanced data querying, cleaning, and aggregation.

  • Foundations of Databases and SQL
  • Combining Data in SQL
  • Cleaning Data and Creating Multiple Joins in SQL
  • Using Logic in SQL
  • Subqueries
  • Applying SQL Functions

Data Narratives and Visualization with Tableau

Practice using Tableau to visualize and map data, and connect data across Excel, SQL, and Tableau.

  • Visualizing and Mapping Data in Tableau
  • Text Manipulation in Tableau
  • Designing Data Dashboards in Tableau
  • Working with Data across Excel, SQL, and Tableau