Learn the valuable skill of coding through Web Development, and how to use Data Anylitics & Decision Making to gain valuable and actionable insights.
In a world where technology is evolving daily, being able to build digital products through code, and leveraging data to solve business problems can set students on an excellent career path. Applicable to most industries, Web Development and Data Anylitics & Decision Making are tools that are only going to become more relevant as modern businesses are run on digital platforms and the internet.
*Experts and TA’s may vary from those displayed as streams and courses evolve and develop
Chief Data Scientist at Differential Capital
I am currently the Chief Data Scientist at Differential Capital, a boutique asset management firm that utilises artificial intelligence and machine learning to enhance the traditional investment process. I lead our data science activities, which include macroeconomic modelling, back-testing machine learning algorithms to forecast a variety of asset classes, quantitative risk management and the development of portfolio optimisation algorithms. Prior to this, I was the Group Head of Advanced Analytics at MMI Holdings. I am also an Adjunct Senior Lecturer at the University of Cape Town, where I supervise postgraduate students in Statistics and Data Science.View on LinkedIn
Computer Science PhD Researcher at the University of Cape Town
I am broadly interested in Artificial Intelligence For Development (AI4D). My research focus is agent-based computing and machine learning for healthcare in Africa. Prior to this, I obtained an MSc in Advanced Computer Science with Distinction from the University of Manchester, where I specialized in AI. My MSc dissertation project used deep learning to train social robots to manage interactions with humans.View on LinkedIn
Data Scientist | ML Engineer at The AI Institute
My primary responsibilities include discovering, designing, and developing analytical methods to support novel approaches of data and information processing. I also promote knowledge sharing through preparing and delivering structured lessons on the topics of data science, AI and machine learning.View on LinkedIn
I am a lecturer at the Tshwane University of Technology, teaching Computer Emerging Technologies. The subject focuses on the use of Deep Learning for computer vision tasks. I am also a Data Scientist at Predictive Insights. This position entails creating and compiling data sets and using data science tools to extract insight and meaning from these. Additional responsibilities include building algorithms for prediction, presenting results, and project management.View on LinkedIn
Data Scientist at Facebook
I graduated from the University of Pennsylvania in the Spring of 2021 with a Bachelor’s of Engineering in Systems Engineering and a minor in French. In the fall of 2021, I will be starting a full-time job at Facebook as a Data Scientist. Ask me about: studying abroad, the thrilling F1 season, and pineapple on pizza!View on LinkedIn
Data Science Team Lead at SAEON
I am the Data Science Team Lead at the uLwazi Node of the South African Earth Observation Network (SAEON) – a long-term environmental monitoring facility of the National Research Foundation (NRF). My primary directive as Team Lead is to improve South Africa's open data products, atlas portals and visualization tools in order to facilitate effective data- and evidence-driven decision-making.View on LinkedIn
Before joining the MSc. Data Science programme at the University of Cape Town, I worked as a management consultant at Deloitte in Johannesburg for close to two years. I have a keen interest in all things analytics as well as a great degree of reverence and awe for generative applications of AI. My thesis focus is on Natural Language Processing.View on LinkedIn
Analyst Manager at Incline
I have been involved in the data analytics space for the past 5 years, beginning at the University of Cape Town for data-based MBA and PhD work, to outside data consulting. I now engage in a tactical consulting-style environment for Incline Marketing Solutions, a Cape Town based analytics firm focused on capturing the value within a variety of client data.View on LinkedIn
Director at AppStrax Technology
I have been working professionally as a software engineer since 2013. After graduating from the University of Johannesburg, I started work as a communication driver developer at Adroit Technologies. Later I was poached by Entelect to work as a full-stack web developer on a project for Deloitte South Africa. I joined the startup AppStrax Technology in 2017 and am now a director. My team and I are working on some exciting new projects which will be coming to market soon. I also train and mentor new recruits and am passionate about teaching them the way of the code and helping grow their careers.View on LinkedIn
*Experts and TA’s may vary from those displayed as streams and courses evolve and develop
In the first part of this program, students will gain a deeper understanding of this learning stream and acquire a set of practical skills vital to their chosen discipline.
Code & Develop
Use GIT to version control code and collaborate with other developers on the same project.
Learn to create database tables and structures.
Integrate with a serverless backend framework (Firebase).
Use Python and deploy its user-friendly Data Science toolkit.
Demonstrate and explain concepts relating to the field of Data Science, its uses and limitations.
Critically examine ethical issues and debates in the Data Science field, and make ethically-informed judgements on these issues.
Manage the Data Science pipeline, from initial data wrangling to modeling, productionization and deep learning.
Source Code Management
Practice data collection (web-scraping), cleaning, visualization, collaboration and version control (using Git).
Once pupils have the knowledge and skills, they’ll apply them to a practical project for some real-world learning.
Real World Projects
The software curriculum culminates with real-world Web Development and Data Anylitics & Decision Making projects. Industry and company needs change fast, and so do the projects as they evolve to match these changes.
Below are some examples of past projects:
The internship partner company is an online marketplace which sells sustainable upcycled products. The brief to the students was to develop the landing pages, product listing pages and product details pages for the web application to meet the design and provider by the company. The students managed to implement the webpages to match the design using ReactJS as the frontend development framework, as well as post and fetch products from a firebase database.
Custom Code Editor
The company’s mission is to combine data labeling tools and industry best practices and create a machine learning platform for their clients to upload a raw file to be labeled by using their UI. Their users use different import formats, so the objective was to build a feature that allows users to write their own scripts to parse custom raw files into internal formats. Interns worked on an interactive code editor within the browser to allow users to implement customized import/export behavior based on their specific needs, which also included IntelliSense and autocompletes. They also developed an integration of the interactive code editor with a pre-defined GraphQL endpoint and an isolated library component that is exportable and importable to other React projects.
Online Booking System
The organization is a registered non-profit trust established and run for the benefit of the arts. It comprises of a world-renowned sculpture park, artist residency, studios and workshops and outdoor concert venues on 20 hectares of landscaped gardens and waterways in a UNESCO World Heritage Site. Interns worked to build an internal booking platform for patrons of the foundation and for attending events, as well as to create a more engaging and experience-based website, including a mobile-friendly interface.
Social Media Analytics Project
The company is a startup focusing on developing marketers’ use of analytics and technology to make better marketing (and their lives easier). Marketing is becoming increasingly complex with no signs of slowing down, and the data marketing generated alongside the technological solutions available provide insight into a fast-paced, data-driven industry.
The interns developed an ability to use analytics and technology to make better investments and increase KPIs. Digital marketing data (media, social, website) was particularly unstable in time of COVID-19 turmoil, and applied research alongside the data was critical in advising digital strategies.
Data Visualization Project
The company is a cloud-based HTML5 software, enabling users to create professionally-designed digital content. The internship required the implementation of informative exec-level BI dashboard in dash, for customer segmentation and churn projection.
A direct view of analytical insights value creation was required. This project resulted in the team learning the skillset of dashboard development, with exposure across other Data Anylitics & Decision Making technologies, such as SQL and Heroku. KPIs as well as additional insights, and graphs were displayed, allowed insight into conversion, churn, success rates, and allowed the client to quantify marketing strategy success rates.
Our program brings together the unique iX learning approach of live online courses, coupled with real-world projects. This ensures that students acquire relevant hard and soft skills as well as practical, hands-on experience, giving them confidence, a badge for their resume, and a career boost that stands out in today’s competitive job market.Learn More
I can’t believe the amount of knowledge and skills I’ve acquired in this course, and how much I felt empowered in such a short period of time. I worked hard on the exercises and projects not to get good grades, but because I was inspired and eager to dive into the materials. I’m confident that the data science skills I learned will open up lots of opportunities that I didn’t think of before.