BUSINESS ANALYTICS AND VISUALISATION + BUSINESS ANALYTICS WITH SQL AND PYTHON​

Course overview

Why Learn Business Analytics

Today, the ability to interpret and present information and drive data driven decisions is no longer reserved for data scientists and mathematicians. In 2019, LinkedIn cited that data reasoning was the third most sought-after skill by companies. With over 2.5 quintillion bytes of data created each day, businesses are now more than ever looking to recruit business analytics talent to support their sustained growth.

Develop practical, highly sought-after skills in Excel, data analysis and visualisation, SQL and Python with our two courses in Business Analytics. Harness the power of data-driven decisions to drive business value and increase your employability within the industry. 

Course benefits

What You'll Learn

  • Intro to data analytics 
  • 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 
  • Introduction to Python for data analysis 
  • Pandas and NumPy 
  • Forecast data modelling 
  • Presenting data to support forecasting

Course outline

How It Works

At RMIT Online, we have a suite of courses to provide you with the skills to tackle the world of data analytics, which can be taken standalone or one after the other dependent on your desired outcomes. 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.

Duration

6 Weeks

Who should attend?

Level 2 - Supervisor, Executive, & Emerging Managers
Level 3 - New Managers
Level 4 - Managers
Level 5 - Senior Managers & Directors
Level 6 - C-Suite

Programme leader

RMIT instructors

Course fee

Programme Fee Amount (including 7% GST) Remarks
Non-Member Total Fee $1,950.00 -
RMIT Alumni Total Fee $1,657.50 -

Learning mode: Self-paced learning

Course runs

Date Time Venue Registration Closing Date Register
26-04-2021 to 07-06-2021 08:00 - 17:00 Online 22-04-2021
24-05-2021 to 05-07-2021 08:00 - 17:00 Online 20-05-2021
21-06-2021 to 02-08-2021 08:00 - 17:00 Online 17-06-2021
19-07-2021 to 30-08-2021 08:00 - 17:00 Online 15-07-2021
16-08-2021 to 27-09-2021 08:00 - 17:00 Online 12-08-2021
13-09-2021 to 25-10-2021 08:00 - 17:00 Online 09-09-2021
11-10-2021 to 22-11-2021 08:00 - 17:00 Online 07-10-2021
08-11-2021 to 20-12-2021 08:00 - 17:00 Online 04-11-2021

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