RMIT University
Business Analytics with SQL and Python
- Delivery: Online
- Study Level: Intermediate
- Duration: 6 weeks
- Course Type: Short Course
- Total Price: $1,900
Acquire foundational skills in SQL and Python and deliver powerful analysis and predictions for your team or business.
Course overview
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 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.
This course focuses on business analytics, teaching how to collect, clean and present data to generate valuable predictions and insights. The course covers SQL, enabling you to write queries to extract data from databases and Python, a versatile language for data analysis, manipulation and predictions. The course helps you develop key skills in data wrangling, analysis and communication, boosting your professional value and making you more competitive in the job market.
- Master SQL and Python for business analytics: Learn to extract, clean and analyse data using SQL queries and Python functions to generate powerful insights and predictions.
- Apply data analytics to real business problems: Work with real datasets, develop forecasting models and use data visualisation to support decision-making in a competitive business environment.
- Industry-ready flexible learning: Study 100% online, gain hands-on experience with structured query language and Python libraries and enhance your professional value with in-demand analytics skills.
Key facts
14th September, 2026
What you will study
Understanding the data analytics process
- 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 an Excel set to see alignment with a business question.
- Be introduced to structured query language (SQL) and database management systems (DBMSs).
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.
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.
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.
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 and recommendations from your analysis of the dataset.
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.
What you will learn
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.
Who should attend
- Professionals looking to develop their analytics skill set to increase their value and employability.
- Professionals looking to accelerate their careers or transition into a data-focused role.
Who You Will Learn From
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 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.
Suraj Sharma
Expert Industry Mentor
Suraj is a Senior Data Lead and Consultant with 17 years of experience in the data domain. Throughout his career, he has built a strong reputation for delivering high-quality results in areas such as data architecture, data warehousing, and data migration. He has managed complex projects and led diverse teams, enabling him to develop innovative solutions that meet business needs and often exceed expectations. Passionate about problem-solving and attentive to detail, he excels at anticipating challenges and crafting effective strategies. His extensive knowledge of emerging technologies, combined with a commitment to innovation and excellence, enables him to make meaningful contributions to data reporting and analytics. He looks forward to sharing his insights and experiences to support your learning journey.
Mohammed Hemayed
Expert Industry Mentor
Mohammed Hemayed is a data analytics leader with over eight years of experience turning data into commercial and strategic insights. He currently leads a Data Analytics team at Medibank, where he drives commercial and performance analytics to support business growth and customer outcomes. Mohammed is passionate about bridging technical expertise with business strategy, building scalable solutions, and leading high-performing teams. With a strong background in data storytelling and advanced analytics, he empowers organizations to make informed, data-driven decisions that deliver measurable impact.
Industry Partnerships and Accreditations
