Data Science is one of the most important and versatile fields in our data-driven world. Modern technology has given us access to huge amounts of data, and with this has come the ability to extract useful information and use it in ways that were previously impossible. This applies to almost any industry, whether you're interested in global health, business, public policy, or tech.
iX Data Science alumni have gone on to work at
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Note that our partner companies and projects may change from year to year.
There will be a lot more automation of data science and machine learning tasks. This is why it is critical for up and coming data scientists to focus on a broader range of skills other than coding.
An unbelievable starting point and foundation with great resources and networks. This program allows you to learn and apply a new skill at a fast rate while having exposure to a new culture, giving you a real life experience.
The Data Science course does exactly what it's supposed to do. It's fast, very practical, and very geared towards how Data Science works in the real world. It's an experience designed not to dip your toes in the water, but to throw you right in. The class is fast and the lifestyle is a huge adjustment, but I wouldn't have it any other way. It’s the coolest learning experience I've ever had.
Thanks to our professor and TA, 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.
I've honestly learned more in these few 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.