
Business Analytics with SQL and Python
- This is NOT a free course. Payment upfront required. Enquire now for more information
Course Information
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.
- 6 weeks
- 8-10 hours per week
- 100% online
- Mentor supported
Upon completing this course, you’ll be able to collect and analyse data with SQL, forecast business scenarios, and communicate your findings with Python.
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
- Create and implement a straightforward data analytics model to address a specific business challenge
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.
- A professional looking to develop their analytics skillset to increase their value in the workplace
- A professional looking to change careers looking to gain the skills and accreditation necessary to take start their career in Business and Data Analytics
Subjects
Payment Option
Career Pathway
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Business Analyst
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Data Analyst
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Data Scientist
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Business Intelligence (BI) Analyst
Professional Recognition

Eligibility
- There are no prerequisites for this course
Pathways
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.
Why Choose RMIT Online?
- 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.