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Future Skills Short Course

Business Analytics with SQL and Python

Acquire foundational skills in SQL and Python and deliver powerful analysis and predictions for your team or business. 

Time commitment
6 weeks (8-10 hours per week)
Time commitment
6 weeks (8-10 hours per week)

Level up your skills and qualifications as a digital native

Teaming up with the best in industry, our courses lean into the future of work to deliver the best in structured, mentor-supported, 100% online education.

Business analytics is the process in which data is obtained, cleaned, and presented by teams and organisations to drive useful predictions and insights. Two ways in which businesses do this is through SQL and Python. SQL, or Structured Query Language, is a query that extracts data from tables within a database. Python, on the other hand, is a programming language that has data analysis libraries built on top of it, allowing for data to be analysed and manipulated in order to tell compelling stories and drive business decisions.  

With the opportunity to work on your own data set, or with a data set provided, now’s the perfect time to roll up your sleeves and get hands on with SQL and Python. Develop the critical data wrangling, exploring, analysing, and communication of data skills that will make you highly desirable in the industry.  

Career outlook

Take a closer look at what opportunities in the Business Analytics with SQL and Python field.

Job satisfaction

Business Analysts have a job satisfaction of 4.1/5

Industry growth

23.3% Projected job growth in the next 5 years

Salary expectations

The typical salary for a Business Analyst role is $115k

Job opportunities

In Australia, there are 3,900+ jobs available

Course overview

Learn more about our Business Analytics with SQL and Python course in the video below.

Get RMIT credentialed

After completing an RMIT Future Skills course, you will earn an RMIT credential which can be validated, recognised and shared on social media platforms.

Course structure

  • Understand how to frame a business question and explore the data project lifecycle 
  • Define key performance metrics and the data needed to solve a business problem 
  • Examine a dataset in Excel set to see alignment with a business question 
  • Be introduced to structured query language (SQL) and database management systems (DBMSs)

Learn with industry experts

Lachlan Russell
Lachlan Russell Expert industry mentor

Our industry mentors are available to provide 1:1 feedback and guidance on your course work. Our mentors on this course include people like Lachlan Russell. Lachlan is an analytics professional at UberEats Marketplace. His work includes producing insightful enterprise-level solutions in industry to field service management, operational supply and demand, customer analytics and machine learning

Ansari Imamudheen
Ansari Imamudheen Subject matter expert

RMIT Online has built our courses in partnership with industry, providing you with the latest industry insights and best practices from the real world of work. Our subject matter experts on this course include people like Ansari Imamudheen. Ansari is the Data and Product Analytics Manager at BetEasy. With over 7 years’ experience in interpreting

Learner success team
Learner success teamRMIT Online

Our learner success team are here to help you with 1:1 coaching, tips on how to successfully study online, and any questions or concerns you may have. 

Why choose RMIT Online

Get a world-class education and transform your career.

Real world skills

Develop skills that have been validated by industry, while getting credentialed by a world-leading university.

Industry connected

You'll gain knowledge and practical skills from renowned industry partners who are at the forefront of their field.

Flexible delivery

Advance your career while you study. RMIT Online courses let you balance work, study and life commitments.

Supported community

Be guided by a network of industry experts and peers, and supported by our dedicated success team.

Download a brochure

Register your interest to get a free course guide for Business Analytics with SQL and Python.

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