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Online: Part-time

Jan 13, 2021 - Jul 05, 2021

Closed

Applications not open yet

Overview

Build systems and models that drive decision making and learns from data.

Machine Learning Engineers are key to future decision-making in any data-driven company.

Work with Some of the Best


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.

Learn How to Solve Problems


The course is built around solving actual problems whilst learning about the latest machine learning techniques.

Apply the skills


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.

Extended Access To Material


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.

Curriculum

Start thinking like a machine learning engineer

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
Programming

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.

OUTCOMES:

  • Able to write basic python code and debug errors
  • Able to write logic statements and for-loops
  • Able to write functions to code efficiently
  • Able to import and use libraries such as Numpy and Pandas

Instructors

Instructors

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.

Jaco Jansen van Rensburg

Lead Instructor

Jaco is a Lead Data Scientist in the EXPLORE Data Science Academy. He has spent the bulk of his career on scientific and industrial research and holds a PhD in Mechanical Engineering with a focus on mathematical modelling and optimisation.

Jason Webster

Lead Instructor

Jason holds a Master's in Physics and loves to explore the way the universe works. He's recently found a home in data science, and now likes to build self-driving cars for fun. He currently works in the content creation side of the academy, working towards bringing Data Science to all parts of South Africa.

Dewald Botha

Lead Instructor

Dewald is an actuary and senior data scientist. He was one of the first brave souls to join the EXPLORE ship in 2016. He is managing EXPLORE's learning platform, Athena, and leading the corporate training - 2/3 day bootcamps to upskill employees.

Why Machine Learning?

Make better decisions and smart actions in real time without human intervention

Four megatrends are fundamentally changing the shape of our world:

  • Vast amounts of data are being generated every minute.
  • The processing speed of our machines is increasing exponentially.
  • We now have cloud providers who can store insane amounts of data for a few dollars.
  • Powerful open source algorithms that can read, write, translate and see are now available to everyone.
 

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.

Admissions

Take the leap, apply now

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.

Application Process

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.



What we look for
  • Passion
  • Aptitude
  • Culture




Course Dates
Cohort Start Date Location Status
Jan 13, 2021 - Jul 05, 2021 JHB Closing Soon – Apply Now

Career Services

Get a job within six months of graduation

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.

Dedicated Career Coaching


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.

Money-Back Guarantee


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.)

A Proven Job Search Framework


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.

Tuition and Financing

Find the right tuition plan for you

Upfront Payment

One upfront payment, payable before the start of the course


Amount:

$2,000
Monthly Payment

12 Monthly payments, payable in advance at the start of each month


Amount:

$250 per month

FAQ

You have questions; we have answers

All applications happen via our website: www.explore-datascience.net. Select the course and location (on campus or online) which works for you and click Apply Now. For on campus study, there are various requirements, for online applications it is simpler.
For on campus study there are some qualifying criteria, which can be found in the T’s and C’s of our Money-Back Promise (on the website). For online study, anyone qualifies!
This depends on what your constraints are - can you study on campus, full time, or do you need the flexibility of online study. On campus is the premium experience, backed up with a Money-Back Promise! Still not sure… Use our handy tool to find the course for you. Look for the link under ‘Find your tribe’
We are SETA Accredited and our Data Science course is at NQF level 5. Upon completion of our courses, you will receive a completion certificate.
EXPLORE Data Science Academy graduates are Amazing People, doing Amazing Things. Our Alumni are highly sought after and 97% of them have found industry related employment within 6 months of graduating.
First stop is to check your Spam or Junk mail folders. Sometimes the internet gremlins hide our emails there. Alternatively, log back into your student profile and check that you completed all the steps for application. Look for the sign-in button on the top right of the website page.
Webinars will be scheduled for content briefing, and, we have a really cool student chat platform which gives you access to the student community and course facilitators.
EXPLORE Data Science Academy graduates are Amazing People, doing Amazing Things. Our Alumni are highly sought after and 97% of them have found industry related employment within 6 months of graduating.
All applications happen via our website: www.explore-datascience.net. Select the course and location (on campus or online) which works for you and click Apply Now. For on campus study, there are various requirements, for online applications it is simpler.
For on campus study there are some qualifying criteria, which can be found in the T’s and C’s of our Money-Back Promise (on the website). For online study, anyone qualifies!
This depends on what your constraints are - can you study on campus, full time, or do you need the flexibility of online study. On campus is the premium experience, backed up with a Money-Back Promise! Still not sure… Use our handy tool to find the course for you. Look for the link under ‘Find your tribe’
We are SETA Accredited and our Data Science course is at NQF level 5. Upon completion of our courses, you will receive a completion certificate. 
EXPLORE Data Science Academy graduates are Amazing People, doing Amazing Things. Our Alumni are highly sought after and 97% of them have found industry related employment within 6 months of graduating.
First stop is to check your Spam or Junk mail folders. Sometimes the internet gremlins hide our emails there. Alternatively, log back into your student profile and check that you completed all the steps for application. Look for the sign-in button on the top right of the website page.
You will use Python in a notebook environment for programming and building models
No. If you apply for a sponsorship however, there will be some documentation needed. 
At EXPLORE we have what is called the Belt system. You will receive points for completing tutorials, test results, project results and peer assessment. These points will build up and can be mapped to a certain belt level which ranger from white to black.
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