Jan 13, 2021 - Jul 05, 2021
Applications will open again in the future
Machine Learning Engineers are key to future decision-making in any data-driven company.
Our support team have been there and done that - they are experienced practitioners of data science in various fields such as Utilities, Retail and Financial Services; with a solid academic background.
The course is built around solving actual problems whilst learning about the latest machine learning techniques.
EXPLORE prides itself on the practicality of the course. Participants must be able to apply the skills/knowledge that they acquired to do amazing things.
Participants will have extended access to the material that are covered in the course, allowing them to revisit the techniques to keep it fresh in their mind.
The course will start by covering the basics of programming in python - building functions to automate analysis. After the foundations have been set, participants will master the model building process and the various machine learning algorithms to use when predicting or classifying personal loans as well as exploring techniques such as clustering and natural language processing. In the final phase, participants will dive deeper into the more complex machine learning techniques - deep learning, where they will cover all the various neural networks.Download Full Syllabus
Participants will learn to code in python. From basic syntax to complex logic statements and functions. They will also cover utilising external libraries to make programming simpler - going very deep into the NUmpy and Pandas libraries.
This 2-minute outline video summarises everything you need to know about our Machine Learning, including the subject matter, content delivery, workload, and difficulty.
We take teaching seriously. Great teachers inspire us to connect with topics on a profound level. With experience in the field and the classroom, our data science instructors are unmatched. Simply put: students learn from the best.
Four megatrends are fundamentally changing the shape of our world:
All of these things above mean that it’s becoming easier and quicker to produce models that can analyze bigger/more complex data and deliver more accurate results – even on a very large scale. By building prediction models a business has a better chance of identifying profitable opportunities – or avoiding unknown risks.
We don’t just admit individual students to our program; we curate a community. Our students come from a myriad of backgrounds and previous career paths — insuring that a diversity of thought, experience, and perspective are not only invited, but actively sought.
Submit your application on our website and complete a quiz that will challenge your problem solving capabilities.
Complete our online bootcamp that will test your knowledge and skills that are relevant to this course.
Have an interview at our campus for the final step in the admissions process.
|Course Start Date||Status|
|Jan 13, 2021 - Jul 05, 2021||Applications will open again in the future|
EXPLORE students get jobs, period. As a graduate of our Data Science Bootcamp, get a job within six months of graduation or get your money back (see eligibility terms). From weekly 1:1 career coaching sessions, to mock interviews, to employer introductions, the seasoned Career Services team behind our student success stories is dedicated to helping our students launch lifelong careers in data science.
Every student receives a dedicated career coach who will mentor students through an effective job search via resume review, mock interviews, and strategies for building a job opportunity pipeline and getting a foot in the door at top-choice companies.
EXPLORE students change careers with confidence thanks to our money-back guarantee: you’ll receive a job offer within six months, or we’ll refund your full tuition. (See eligibility terms.)
After years of helping students get hired, we’ve developed a proven framework for leading a successful job search. Nearly every single student who has followed these guidelines has been hired.
One upfront payment, payable before the start of the course
12 Monthly payments, payable in advance at the start of each month
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