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Bundle - Business Analytics Visualisation and SQL and Python RMIT University

Highlights
Tuition fee
2880 AUD / full
2880 AUD / full
Unknown
Tuition fee
2880 AUD / full
2880 AUD / full
Unknown
Duration
3 months
Duration
3 months
Apply date
Unknown
Unknown
Apply date
Unknown
Unknown
Start date
Unknown
Start date
Unknown

About

Within this Bundle - Business Analytics Visualisation and SQL and Python at RMIT University you'll learn to apply data-driven decisions to drive business value, develop practical, highly sought-after skills, and increase your employability.

Overview

Bundle outcomes

Within this Bundle - Business Analytics Visualisation and SQL and Python at RMIT University you'll walk away with two projects where you'll define a business problem and the need for analysis and apply a simple data analytics model to a business problem.

Business Analytics and Visualisation As part of this course, you will complete one (1) final project where you’ll develop a slide deck presentation using templates, guidelines and business styles which address the following:  

  • Define the business question and need for data analysis  
  • Collect data from sources  
  • Clean through unnecessary data  
  • Begin analysing the data  
  • Interpret results and apply them  
  • Anticipate ethical and legal considerations for the business  
  • Justify the approach taken to address the business question 
  • Business Analytics SQL and Python 
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 set a business question, analyse and shape the data to create a data visualisation and create and present your findings in a slide deck presentation to your audience. 

Programme Structure

Throughout our Business Analytics bundle you will learn:
  • Business applications using data 
  • Market research 
  • Spreadsheets, metrics, modelling in excel 
  • Data visualisation with Tableau 
  • Data project life cycle 
  • Collate, query and join data using SQL 
  • Pandas and NumPy 
  • Forecast data modelling 
  • Presenting data to support forecasting

Key information

Duration

  • Part-time
    • 3 months
    • 8 hrs/week

Start dates & application deadlines

Language

English

Delivered

Online

Campus Location

  • Melbourne, Australia

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • To enroll in our courses, you must be 18 years or older.
  • We welcome students from all diverse backgrounds, however, we find that those with a self-starter and inquisitive mindset thrive the best in our courses. With our expert mentors supporting you every step of the way, we're confident you will have all the tools required to succeed.

Tuition Fee

To always see correct tuition fees
  • International

    2880 AUD/full
    Tuition Fee
    Based on the tuition of 2880 AUD for the full programme during 3 months.
  • National

    2880 AUD/full
    Tuition Fee
    Based on the tuition of 2880 AUD for the full programme during 3 months.
  • $2,880 incl. GST

Funding

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Bundle - Business Analytics Visualisation and SQL and Python
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