Combining expertise in the science of learning and the science of data to deliver word-class data science training programs.
Combining expertise in the science of learning and the science of data to deliver word-class data science training programs.
About Metis Data Science
With over 1,600 graduates and counting, Metis is a leading data science educator with over five years’ experience delivering live online courses in the United States, as well as more recent expansion of program delivery into Europe and the Middle East.
Metis’ renowned team of instructors bring their deep industry experience directly into the classroom. With advanced degrees from institutions like MIT, Columbia, UC Berkeley, and Northwestern, Metis instructors are also seasoned practitioners who’ve worked in financial services, consulting, tech and more.
Kaplan Professional has joined forces with Metis to combine expertise in the science of learning and the science of data, and to bring Metis’ highly successful data science programs to Australia with a local perspective.
The combination of Kaplan Professional’s trusted local presence and the global capability of Metis results in the delivery of world-class, live online data science programs in Australia that lead to learning, not just a transfer of information.
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.
Here is what we offer
BEGINNER PYTHON & MATH
FOR DATA SCIENCE
Commences: 1 November 2021
Enrolments close: 4 November
Level:
Beginner
Prerequisites:
None
–
–
Delivery:
Live online
Duration:
6 weeks
Time Commitment:
6 hours per week
Coming Soon
Level:
Intermediate
Prerequisites:
Basic Python and some familiarity
with basic statistical and linear
algebraic concepts.
Delivery:
Live online
Duration:
6 weeks
Time Commitment:
6 hours per week
Coming Soon
Level:
Advanced
Prerequisites:
Experience with programming,
statistics, machine learning or
computational modelling.
Delivery:
Live online
Duration:
12 weeks
Time Commitment:
40 hours per week
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
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Three ways to improve your data science communication skills
While data scientists often focus on technical skills, communication skills can often be overlooked. This blog identifies three ways you can improve your data science communication skills.
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10 ways to improve your job search
Searching for a job can have its challenges and frustrations. Here are 10 actions you can take to gain an ‘edge’ during your job search.
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Q&A with Beginner Python & Math for Data Science instructor, Gordon Dri
In this Q&A, Beginner Python & Math for Data Science instructor Gordon Dri explores the development of the course, why he’s excited to teach it, and why he believes it’s the true way to learn data science.
Q&A with Beginner Python & Math for Data Science instructor, Gordon Dri
Tips for maintaining a positive attitude during your job hunt
Finding a job can be hard work, especially when you’re transitioning into a new field. To help you throughout your job search, here are some ways to stay positive and motivated.
Tips for maintaining a positive attitude during your job hunt
HAVE QUESTIONS?
No problem! Contact our Course Advice team on 1300 368 372 or request a call at a time that suits you >
