Data Science Fundamentals
The pipeline from data to models in production, deep learning and the data scientist's skillset.
Data cleaning, manipulation, visualisation, collaborative work and version control.
Likelihood, probability distributions, hypothesis testing.
Fundamentals of machine learning.
Coding in Python and SQL
The industry-standard language for analyzing, building models, and presenting data.
Go out into the world wide web and catch yourself some respectable data.
Setting up a GPU server for deep learning with Google Cloud Compute.
Modelling and Hosting
Model serving and APIs with Flask and Celery. Creating a web server to host a trained model.
One of Cape Town's largest machine learning consulting firms.
A pioneering travel booking website offering flights, hotel bookings, and more.
A multi-billion euro healthcare company that manages over a dozen public and private hospitals in Portugal.
"The iX data science course offered thorough preparation for my internship. Through course engagement and consistent expert guidance, I feel I have mastered the programming skills, enabling me to analyze large datasets and further educational research in my internship placement."
"Thanks to our professor, Andrew Collier, and TA, Arthur Wu, whose data science expertise was matched both by pedagogical ability and engagement, my classmates and I have not only strengthened our coding skills, but earned a contextual understanding of how big data analysis can inform the guidance of major systems and reveal otherwise overlooked patterns."
"After completing the course I’m a couple of steps further in the search for meaning through data. If not, I’ve gained a family of amazing people. At the end of the day, that’s what data science is. A quest to find meaning where it didn’t exist before."
"I've honestly learned more in four weeks than I have in three months of many of my college courses. It's been an honor and a privilege to work with someone as knowledgeable as our teacher, Andrew. I woke up every day interested in what we were learning next."
"Honestly, I can't believe the amount of knowledge and skills I've acquired 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."