Looking for an in-demand skill set? Kaplan Professional proudly introduces live online data science programs, powered by leading global provider Metis.

Available Now & Coming Soon – Special Introductory Pricing

 

Beginner Python & Math

CLASSES COMMENCE: 18 January

Designed for absolute beginners, the part-time, live online Beginner Python & Math for Data Science course is for those looking for an introduction to the basic programming skills and mathematical building blocks essential to developing data science skills or forging a new career in the field.

 

Introduction to Data Science

CLASSES COMMENCE: 15 March

Designed to take you one step closer to becoming a data scientist, the part-time, live online Introduction to Data Science course provides a well-rounded introduction to core data science concepts, including basic machine learning principles and hands-on coding experience.

 

Data Science Bootcamp

COMING SOON: Late-2021

With a great reputation, best-in-class instructors and US accreditation, our 12-week, live online Data Science Bootcamp combines traditional instruction in theory and technique with a project-based approach for individuals looking to launch a career in data science.

Learn from world-class data science practitioners

Live online instructors bring deep industry experience and will be available to support you throughout your learning process.

Interact with instructors and classmates in real-time

Ask questions, participate in discussions and join your course Slack channel for maximum engagement, collaboration and support.

The benefit of online learning with live instruction

Log in from wherever you are to access live online classes. If you miss a class or need to refer back, recordings are available 24/7.

Curious to find out more? Enquire today.

When you submit your enquiry, we’ll also send you a free sample class so you can see what the live online experience is like for our data science courses.

Gordon Dri, Data Scientist at Oracle, and instructor of the live online Beginner Python & Math for Data Science course, will cover the following sample topics in the sample class:

 

How to set up Jupyter Notebook and begin to write basic Python code

 

A brief overview of a fundamental math topic from the course

Frequently asked questions

Research shows there’s growing demand for qualified individuals for positions in the data science field. This is largely driven by the exponential growth of available data and the narrow set of specific skills required to extract value from that data. Recent estimates suggest 2.5 quintillion bytes of data are created each year, with 90% of all data in existence being created in just the last two years1.  As a result, the number of data-related job postings has surged and median salaries have risen, leading to ‘data scientist’ becoming the best job in a 2016 Glassdoor survey based on the number of job openings, salary and job satisfaction1.

External data continues to validate the demand for the types of programs Metis offers. For example:

  • According to a recent global survey, 76% of businesses plan on increasing investment in analytics capabilities over the next two years1.
  • The most common salary for data scientists in Australia is between $120,000- $140,0002.
  • The projected job growth for data scientists in Australia between 2019 and 2024 is 12.9%2.

 

1 Deloitte Access Economics, 2018, The future of work: Occupational and education trends in data science in Australia.
2
Seek, 2020, How to become a Data Scientist- Salary, Qualifications & Reviews.

There’s variation in the adoption of data science terms across businesses and industries. The below definitions can be used as a guide.

Data scientist

The term data scientist is used the most broadly. A job posting for a data scientist might describe a role identical to others calling for ‘data analyst’, although there are usually more diverse coding skills needed for the role.

Data scientists are asked to participate in the entire cycle of problems and solutions. They help identify opportunities for companies to use data, while also finding, collecting and integrating relevant data sources; performing analyses of varying degrees of complexity; writing code and creating tools that teams and businesses can use over time; and visually presenting the data to tell a story to company stakeholders.

Data analyst

A data analyst creates and communicates insights from data to measure outcomes, makes predictions and guides business decisions. Often, there’s a lighter coding burden placed on a data analyst, although they may be expected to know certain languages or packages in R or Python.

Data engineer

A data engineer is a designer, builder and manager of the information or ‘big data’ infrastructure. They develop the architecture that helps analyse and process data in the way the organisation needs it – and they make sure those systems are performing smoothly.

Beginner Python and Math for Data Science is designed for absolute beginners who have little to no prior data science experience and are considering a new career in the field. It provides an introduction to the basic Python programming and mathematical concepts essential to developing data science skills. This course is also ideal for those who need a refresher with fundamental Python programming and/or mathematic concepts to develop their data science skills or succeed at the next level.

Introduction to Data Science is designed for those who have a basic understanding of data analysis techniques. It provides a well-rounded introduction to the core concepts of basic machine learning and hands-on coding experience to help you take one step closer to becoming a data scientist.

Course instructors are from the industry and have real-world experience as practitioners of data science. Please visit the respective course pages for specific information on each instructor’s background and current job.

All classes are delivered live online via Zoom. Course content is accessed via GitHub, and Slack is used to provide support, as well as facilitate collaboration with the instructor and your peers. Details on how to access these platforms will be provided in your welcome email upon enrolment.

The live online format allows you to attend class sessions from anywhere with a stable internet connection. Unlike other online options, where sessions may be pre-recorded, the live online format allows for interaction with the instructor, teaching assistant and other participants.

Our data science courses are 100% online and completely live, so it’s just like you’re sitting in the classroom. This means you’ll be able to interact directly with instructors and classmates in real-time, ask questions and participate in discussions. You’ll also have 24/7 access to the online class recordings if you miss a class or need to refer back.

Our instructors are world-class data science practitioners who bring their deep industry experience and will be available to support you throughout your learning process. You’ll also have access to Kaplan Professional’s knowledgeable Student Advice team, who are on hand to provide guidance and support throughout your study. To get in touch, simply send an email to metis@kaplan.edu.au or call 1300 368 372.