Become an expert practitioner of data visualisation, Python programming, and machine learning in this hands-on qualification in data science.
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.
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!
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.
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.
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.
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.
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, 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 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.
ExploreAI Academy's courses are rigorous, fast-paced, and immersive.
Please familiarise yourself with the following information.
Pay your fees in full before the course starts and enjoy a cost saving. No deposit.
Applications close 08 January 2024
Pay monthly for the duration of the course. Fees are payable in advance each month.
Applications close 08 January 2024
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 close 03 November
Full-time programme only
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 close 03 November
Full-time programme only
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