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

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Future Skills Short CourseProject Management for ProfessionalsDuration 6 weeks, 8 hours per weekNext start 14 Jul 2025Future Skills Short CourseUser Experience DesignDuration 6 weeks, 8 - 10 hours per weekNext start 11 Aug 2025
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Business Analytics with SQL and Python
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Online
Level up your skills and qualifications as a digital native
Teaming up with the best in industry, our Future Skills 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. This course focuses on two ways that businesses do this — SQL where you will learn to write queries to extract data from a database, and Python, the ubiquitous programming language that enables data analysis, manipulation and predictions.
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 critical skills in wrangling, exploring, analysing and effectively communicating data, to enhance your professional value and stand out in the competitive job market.
Our Business Analytics with SQL and Python course is ideal for:
- Professionals looking to develop their analytics skillset to increase their value and employability
- Professionals looking to accelerate their careers or transition into a data focused role
By the end of this course you'll be able to:
- Utilise SQL and Python to drive powerful analysis and predictions for business
- Assess and implement data modelling, forecasting and classification using introductory level SQL and Python functions
- Build and apply a simple data analytics model to solve a defined business problem.
Upon completing this course, you'll be able to collect and analyse data with SQL, forecast business scenarios, and communicate your findings with Python.
In your final project, you will develop data insights based on a specific business question using either a supplied dataset or your own as reviewed by your mentor.
At RMIT Online, we're committed to supporting your lifelong learning journey. Our flexible learning pathways can be tailored to align with your individual educational goals. When taken in combination with other specific Future Skills short courses, this course is eligible for credit into certain RMIT degree programs, subject to entry requirements. Click here for more information.
This course can be taken as standalone but has been designed to be taken as part of a two-course Business Analytics bundle (save 10% when you do both courses). For a more comprehensive understanding of business analytics, we recommend that you also complete Business Analytics and Visualisation.
Course Overview
Learn more about our Business Analytics with SQL and Python course in the video below.
The future of work is really interesting - you can't just learn one skill now and have a career out of that. You need to move and adapt over time so courses like RMIT online are giving the ability to get into those skills really quickly and and fill those gaps and change as needed.
Many of our customers were undertaking digital transformations and I often found myself sitting in meetings with Chief Marketing Officers, Chief, Information Officers, CEOs not really understanding what they were talking about so I really wanted to get a feel for exactly what was going on so that, not only could I lead my team more effectively, but actually could sit in some of these meetings and have a meaningful conversation with some of these clients
Our vision is to build a community of lifelong learners successfully navigating the world of work. We find in addition to our world-class academics, working with companies like Adobe Salesforce realestate.com,
Accenture, really brings relevance in the skills that were taking to our students, in using new technologies and business approaches.
So in terms of the experience of studying online, it was terrific it was flexible it was convenient, the tools were easy to use, the way that courses are structured, the way the contents are delivered gives you the flexibility of effectively logging in and learning on a schedule that suits suits you.
This is a great opportunity to help build those skills that can actually feed our future employee pipeline so we we can actually solve these problems for our clients going forward
Career Outlook
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Course Structure
Learn more about Business Analytics with SQL and PythonModule 1: Introduction to data analytics
+- Understand what data analytics is, the tools available, and how data analysts add business value
- Investigate different data types and sources and determine the relevant data to answer business questions
- Identify the data project lifecycle and explore basic Excel formulas and functions for analysing data
Module 2: SQL
+- Explore various types of SQL and create and insert data into a table
- Run basic and intermediate queries and classify data within a dataset
- Use Join to combine queries for data aggregation
- Recognise the basic concept within an Entity Relationship (ER) model
Module 3: Cleaning and wrangling data
+- Review principles, ethical and legal considerations involved in data handling and cleaning
- Prepare data in SQL by performing an initial clean ready for export and verification
- Be introduced to basic features in Python to support analysis and data visualisation
- Connect Python to an SQL database and replicate how to extract SQL data to Python
Module 4: Visualisation with Python libraries
+- Explore the role of data visualisation in analytics to support organisational decision-makers
- Apply visualisations using Panda and NumPy and be introduced to advanced Python libraries
- Investigate prescriptive analytics to suggest insights about a business problem
- Identify trends and patterns in your data for initial insights and analysis
Module 5: Forecasting and interpreting results
+- Identify and apply principles of forecasting models to generate future predictions
- Explore and apply standardisation tests to ensure comparisons can be made
- Use ARIMA and moving average forecasting methods to inform likely trends based on data
- Share early conclusions of recommendations from your analysis of the dataset
Module 6: Final project and next steps
+- Examine the attributes of a data analyst through perspectives from industry experts
- Consider industry trends and the future of data analytics
- Prepare for your final project
In your final project you will develop data insights based on a specific business question using either a supplied dataset or your own as reviewed by your mentor.
Learn with industry experts

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...
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 classification problems. Lachlan is a mathematics graduate and past consultant at KPMG working across the finance, telecommunications, utilities, defence and intelligence industries.

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...
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 and analysing data for driving business solutions, Ansari also has graduate and postgraduate qualifications in Business Analytics and Engineering and is certified in Tableau and trained in Agile Scrum.

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