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Business Analytics with SQL and Python

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

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Time commitment
6 weeks (8-10 hours per week) 100% online
A$ 1200 incl GST


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Course Structure

Module 1

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 Excel set to see alignment with a business question

Module 2


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 

Develop an Entity Relationship (ER) model 

Module 3

Cleaning and wrangling data

Identify data to clean and artefacts to drill into data analysis 

Connect Python to an SQL database and replicate how to extract SQL data to Python 

Import CSV data into Python and address key business questions 

Module 4

Panda and NumPy

Introduce Panda and NumPy libraries for data analysis and where to use them 

Utilise Panda in your dataset and address missing data analytic functions with NumPy 

Visualise data using Pandas and be introduced to advanced libraries 

Module 5

Interpreting Results

Outline a forecasting model and build a forecast model using Python 

Use segmentation outcomes to test the forecasting model using recency, frequency and monetary value 

Apply static, animated, and interactive visualisation in Python to your dataset 

Use Matplotlib to develop charts that can be used to present insights 

Module 6

Final project

In this module, you’ll prepare for your final project in which you’ll: 

  • Set a business question 

  • Analyse and shape the data to create a data visualisation 

  • Create and present your findings in a slide deck presentation to your audience 

Learn with Industry Experts

Get ready to meet some of the biggest names in the business

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

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 post graduate qualifications in Business Analytics and Engineering and is certified in Tableau and trained in Agile Scrum.

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.

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