The world’s most valuable resource is no longer oil - it’s data. Which makes Data Science the world’s most marketable skill. In fact, according to the Business-Higher Education Forum and PwC, 70% of US business leaders have a preference for job applicants with data skills on their resumes.
6 weeks. Secured internship. Global impact.
We know that students need more than just academic knowledge. You require practical skills and real-world business experience that builds a stand-out resume. This is the perfect opportunity for you to gain valuable industry-relevant skills and internship experience in Data Science while traveling to Cape Town, South Africa, one of the most beautiful destinations in the world.
01_
Weeks 1 - 2.
The first two weeks of the program are dedicated entirely to class contact time, allowing you to fully immerse yourself in the course material and build a strong foundation for the hands-on experiences that follow.
02_
Weeks 3 - 6.
The next four weeks of the program are a dynamic blend of internship and class time, giving you the opportunity to apply what you've learned in real-world settings while continuing to enhance your knowledge through ongoing coursework.
Bootcamp skills class.
45+ hours of live taught classes and homework.
Your classes are capped at 40 students to maximize individual attention.
This sets each student up for success in your 4-week internship.
Please note: The Data Science course has a prerequisite of one semester of Computer Science or Statistics (or similar) at university level. Please chat to your iX Career Advisor if you do not meet this requirement.
Meet your head teacher.
Claire is the ideal Head Teacher for Data Science at iX, bringing over 15 years of experience in data product development, management, and analytics. With a Ph.D. in geospatial data analysis and climate change from the University of Stellenbosch, Claire has spearheaded groundbreaking projects such as the South African Risk and Vulnerability Atlas, National Climate Change Information System, BioEnergy Atlas, and the Carbon Sinks Atlas for South Africa. Her collaboration with organizations like Credible Carbon showcases her commitment to driving sustainability through innovative data solutions.
Claire Davis-Reddy (Ph.D.)
Shareholder at Credible Carbon
Multiple Roles
CSIR
2009 - 2019
Hybrid
Multiple Roles
SEON
2019 - 2023
Cape Town, South Africa
Shareholder
Credible Carbon
2023 - Present
Cape Town, South Africa
What you will learn.
In our Data Science program, you'll gain practical experience with industry-led projects and master essential data science skills. You'll learn to code in Python, navigate the data science pipeline, visualize data effectively, and apply both supervised and unsupervised machine learning techniques. By delving into advanced concepts like neural networks and time series models, you'll be well-prepared to tackle complex data challenges and advance your career in data science.
Note: These learning outcomes are subject to change.*
Implement machine learning models.
Supervised vs. Unsupervised Learning: Distinguish between different machine learning approaches.
Regression and Classification: Build models using algorithms like linear regression and logistic regression.
Clustering and PCA: Apply clustering techniques and principal component analysis for data reduction.
Advance to complex algorithms.
Decision Trees and Ensembles: Understand and implement decision trees, random forests, and gradient boosting.
Support Vector Machines: Utilize SVMs for complex classification tasks.
Neural Networks: Get introduced to neural networks using Keras for deep learning applications.
Specialize in niche data science fields.
Natural Language Processing (NLP): Process and analyze textual data for insights.
Time Series Analysis: Work with time-dependent data and forecasting models.
Ethical Data Use: Understand the importance of ethics in data science and responsible data handling.
Communicate insights effectively.
Data Storytelling: Craft narratives that make your data insights accessible to stakeholders.
Presentation Skills: Learn to present complex data in a clear and compelling manner.
Tailored Communication: Adapt your message for technical and non-technical audiences.
Understand the data science profession.
Role Clarity: Learn what data scientists do and the impact they have across industries.
Essential Skills: Identify and develop the key skills required for a successful data science career.
Master data handling with Python.
Data Importation: Import data from various sources using Pandas.
Data Structures: Understand and manipulate different data types in Python.
Data Cleaning: Handle missing values, anomalies, and prepare data for analysis.
Perform exploratory data analysis (EDA).
Statistical Summaries: Compute and interpret basic summary statistics.
Data Subsetting: Select and manipulate subsets of data for targeted analysis.
Pattern Recognition: Identify trends, outliers, and insights within datasets.
Excel in data visualization.
Visualization Principles: Learn what makes an effective data visualization.
Plot Selection: Choose the right plot types for your data.
Visualization Tools: Create compelling visuals using Seaborn and Plotly in Python.
Fill in your details below, and we’ll email you an info pack with everything you need to know about our Data Science program.
Student success stories.
Watch firsthand how iXperience has transformed the lives and careers of students from around the globe. These inspiring stories showcase the power of real-world experience and practical learning.
Top industry experts.
At iX, as a student, you have direct access to industry experts that teach, guide, and mentor you through your bootcamp and internship experience abroad or online.
You get a guaranteed internship placement for the summer at one of our global partner companies.
116 hours of internship work to add to your resume.
You’ll work closely with your manager, teaching team and other students to complete the deliverables for your project.
Your internship is balanced with hands-on work experience supported by additional class sessions to cover advanced material.
Our past internship partners.
01_
Susdee.
Susdee helps people find purpose-driven careers by enhancing corporate transparency in sustainability. Their platform offers job resources and sustainability assessments, using NLP algorithms to generate SI scores across five categories. Companies like Adobe actively use Susdee's values-based metrics.
02_
Axai Tech.
Axaitech is building the next generation of liquid biopsy multi-cancer early-detection tests using uniquely African datasets for enhanced precision and reduced clinical bias. Axaitech was founded as Africa's answer to the global liquid biopsy movement in cancer diagnosis and treatment.
03_
Neurabuild.
Neurabuild collaborates with organizations to develop nature-inspired technology, focusing on space domain awareness and neuromorphic systems. Working with top researchers, they transform innovative research into impactful products through commercial-grade software, hardware, and expert design and engineering.
04_
DataProphet.
DataProphet, a global AI-as-a-Service company, helps manufacturers optimize production KPIs using existing plant data. Specializing in complex manufacturing, their AI solutions analyze real-time data to identify inefficiencies and faulty machinery, improving key industrial processes worldwide.
Internship takeaways.
As part of your experience at iX, you'll work on a real-world project with a group of other students, guided by your expert teacher and TAs.
At iX, as a student, you have direct access to industry experts that teach, guide, and mentor you through your bootcamp and internship experience abroad. Here are some previous Teaching Team members in the course.
"I am a Data Scientist with experience in both academic and commercial settings. I honed my skills in research, data analysis, scientific computing, writing, and presentation during my time as an experimental physicist. These skills provide a solid foundation for branching out into other fields as a Data Scientist."
Lauren Reeves
Entrepreneur I Tech Strategy I ex-McKinsey consultant
"I'm a highly skilled senior director with extensive experience in management consulting across various regions, including Portugal, Spain, Angola, South Africa, São Tomé e Príncipe, and East Timor. I'm proficient in enterprise model design, change management, and teaching through ongoing collaborations."
Nuno Pedro
Consultant | Senior Project Manager | Professor | Entrepreneur
Learn from the best.
At iX, as a student, you have direct access to industry experts that teach, guide, and mentor you through your bootcamp and internship experience abroad. Here are some previous Teaching Team members in the course.
"As a Data Scientist and educator in Cape Town, I bring a wealth of experience from my Ph.D. in Ecology and Evolutionary Biology. With 15 years in academia and research, my transition to data science consultancy is fueled by a passion for sharing knowledge and exploring the vast world of data."
Dr Taryn Morris
Data Science Team Lead at Luno
"As Chief Data Scientist at Differential Capital, I harness the power of machine learning and AI to elevate investment strategies. My journey from academia, with a Ph.D. in Mathematics, fuels my passion for shaping macroeconomic modeling, forecasting, trading, risk management, and portfolio optimization, driving innovation at the intersection of theory and practice."
