Programme overview
Gain an overview of data science and machine learning - the skills required to be a data scientist. In the data science fundamentals phase you'll learn how to clean, analyse and visualise data as well as how to effectively communicate the findings.
During the machine learning phase, 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.
*Course duration for Accelerator and Scholarship tuition options is 12 months, as the coursework is followed by an internship.
Is this course for you?
You’re a newcomer to data science and you want to close the gaps in your analytical skills and knowledge. This course will be beneficial if you’re a professional needing to rapidly upskill and enhance your data science toolkit with theory and practical skills.
Or, you’re a professional working in any of a range of business areas, including but not limited to marketing, sales, finance, and operations. You want to learn how to use data and programming to increase efficiencies and identify new opportunities in your organisation.
Or, you’re new to the world of work and are intrigued by the technical nature of this course and the range of possibilities for a career in tech. How exciting!
Data Science Fundamentals
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Module 1: Explore101
Understand common data terminology and learn how to define your problems before you tackle them.
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Module 2: Data visualisation
Build dashboards and tell stories with your data to be more persuasive with your findings.
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Module 3: Python
Learn the fundamentals of Python programming: working in notebooks; logic and functions; and data structures.
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Module 4: SQL
Work with SQL to use databases for storing, reading and updating data.
Machine Learning
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Module 5: Regression
Prepare data for modelling, build regression prediction models with Python, and fine-tune them for better results.
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Module 6: Natural language processing and classification
Expand your machine learning repertoire into classification, train and predict with models, and learn about NLP.
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Module 7: Unsupervised learning
Learn how to cluster unstructured data, build recommender systems and get hands-on with dimensionality reduction.
EXPLORE values Curiosity: Did you know?Value-added services
Alongside the technical content, you'll have access to the following services during your time on the course.
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A proven job search framework
We’ve developed a framework for a successful job search. Nearly every single graduate who has followed these guidelines has been hired.
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Thrive
Our personal development curriculum, Thrive, contains a host of additional content on job searching, interview preparation, technical portfolio curation, cover letter writing, and more.
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Career services
The career services module (optional for part-time students) contains a wealth of information for conducting an effective job search, CV review, mock interviews, and strategies for building a job opportunity pipeline.
Your success team
ExploreAI Academy's courses include facilitation during working hours. These are world-class scientists, typically with postgraduate degrees or higher, who are available for consultation throughout the course.
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Zintle Faltein-Maqubela
Zintle, head teacher at ExploreAI Academy, comes from the technical background of biology, and is a proud alumnus of ExploreAI Academy's very own data science course.
Jamie Snyders
Jamie, a leading facilitator at ExploreAI Academy, 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 Barnett
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.
Before you apply...
ExploreAI Academy's courses are rigorous, fast-paced, and immersive.
Please familiarise yourself with the following information.- You’ll need access to a computer, a stable internet connection, and a quiet workspace.
- The time requirements for this course are 15 hours per week for part-time, and 50 hours per week for full-time.
- This course is delivered fully online and remotely.
- Ultimately, you (the student) are responsible for your own learning, outcomes, and results.
- Requirements differ for the different tuition options. Please ensure you are aware of what your chosen tuition option requires of you.
Payment plans
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PAY UP FRONT
Pay your fees in full before the course starts and enjoy a cost saving. No deposit.
Applications close 10th July 2023 -
Pay as you Learn
Pay monthly for the duration of the course. Fees are payable in advance each month.
Applications close 10th July 2023 -
PAY OFF A LOAN
Pay your tuition fees off over a 36-month period, starting from the beginning of the first month of the course.
Applications close 10th July 2023 -
Scholarship
Exceptional candidates may qualify for a company-sponsored scholarship. Available to unemployed South African citizens between ages 18-34 only. Assessments and video interview apply.
Applications are closed
Full-time programme only -
Accelerator income share agreement
No upfront cost. Do the course, we help you find a job, and you pay us up to 15% of your monthly salary until you've paid back your tuition. Assessments and video interview apply.
Applications are closed
Full-time programme only
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We’ve got your interests at heart
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.
APPLY NOW
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.Only a few steps lie between you and a world of incredible learning!
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.
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High Five - you’re one step closer!
You will now be directed to your Student Dashboard to complete your application.