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Become an expert practioner of data visualisation, Python programming, and machine learning in this hands-on qualification in data science.
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At 15 hrs/week
Applications Close:
July 10, 2022
Gain an overview of data science and machine learning - the skills required to be a data scientist. In the Fundamentals phase you'll learn how to clean, analyse and visualise data as well, as how to effectively communicate the findings.
During Machine Learning, you'll solve real-world problems by building regression, classification and unsupervised learning algorithms in Python. This involves data exploration, insight building, and improving and communicating models from a raw and unstructured dataset.
This course is geared towards newcomers to the STEM subjects: science, technology, engineering, and maths. You ideally want to close the gaps in your analytical skills and knowledge. This course is beneficial to beginners and professionals alike, who desire to rapidly upgrade or populate their data science toolkit with demonstrable and practical skills.
Data science is useful to workers in all industries: from marketing to sales, finance to operations, engineering to executive leadership. This course is technical in nature. It is recommended that you have an analytical background (having worked with mathematics or statistics). Experience in at least one programming language would be beneficial but not required.
Understand common data terminology and learn how to define your problems before you tackle them.
Build dashboards and tell stories with your data to be more persuasive with your findings.
Learn the fundamentals of Python programming: working in notebooks; logic and functions; and data structures.
Work with SQL to use databases for storing, reading and updating data.
Prepare data for modelling, build regression prediction models with Python, and fine-tune them for better results.
Expand your machine learning repertoire into classification, train and predict with models, and learn about NLP.
Learn how to cluster unstructured data, build recommender systems and get hands-on with dimensionality reduction.
Get to grips with AWS, the backbone of the modern internet, and one of the providers you'll use to provision data science solutions in your career.
EXPLORE values Curiosity: Did you know?11% of people are left handed
Alongside the technical content, you'll have access to the following services during your time on the course
We’ve developed a framework for a successful job search. Nearly every single graduate who has followed these guidelines has been hired.
Our personal development curriculum, Thrive, contains a host of additional content on job searching, interview preparation, technical portfolio curation, cover letter writing, and more.
You'll have access to a dedicated career coach to guide you through an effective job search, including resume review, mock interviews, and strategies for building a job opportunity pipeline.
EXPLORE's courses include facilitation by default. Our facilitators are world-class scientists, typically with postgraduate degrees or higher, who are available to contact throughout the duration of the course.
Zintle, head teacher at EDSA, comes from the technical background of biology, and is a proud alumnus of EXPLORE's very own data science course.
Jamie, a leading facilitator at EDSA, holds a BSc in theoretical physics, and went on to do honours in applied mathematics. He's perfectly suited to help deliver our technical course content, giving students the best chance of success.
Chris hails from a rich academic background and holds BSc, MSc, and PhD degrees in chemistry. His rigourous research career positions him perfectly to deliver and provide support in our technical data qualifications.
EXPLORE's courses are rigorous, fast-paced, and immersive.
Before you apply, please ensure that the following points apply to you:
Pay your fees in full before the course starts and enjoy a cost saving. No deposit.
Applications close: 10 July 2022
Pay monthly for the duration of the course and no further. Fees are payable in advance each month.
Applications close: 10 July 2022
Pay your tuition fees over an extended 36 month period, starting from the first month of the course.
Applications close: 10 July 2022
Exceptional candidates may qualify for a company-sponsored scholarship
Qualifying testing & interview apply
Applications close: 10 June 2022
No upfront cost. Do the course, we help you get a job, and you pay us up to 15% of your gross monthly salary until you've paid back your tuition.
Qualifying testing and interview apply.
Applications close: 10 June 2022
Please confirm your course selection below.
You will now be directed to your Student Dashboard to complete your application.
At EXPLORE we believe that talented individuals should be able to access
opportunities to uncover their potential and realise their dreams. We are
dedicated to make learning more accessible.
The EXPLORE loan is designed to do exactly that. With 36 months to pay off your
studies, our intention is to offer a competitive and affordable financing
option.
Naturally, we need some details and documents from you to get your application
started.
The following questions need to be answered with the details of the person who will be responsible for the loan repayments.
The next step in your application is to complete a multiple choice Verbal reasoning assessment.
You can access the assessment from your Student Dashboard at any time.
You will now be directed to your Student Dashboard to complete your application.