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Learn to build large language model applications: vector databases, langchain, fine tuning and prompt engineering. Learn more

Amina Tariq

Analyst at 
Influitive
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I’ve taken a whole bunch of courses actually in data science. I took a bunch online and I took a few in person, but none of them really gave me the confidence that I needed to sort of tackle a huge data project on my own from beginning to end.This is a great program which sort of introduces you to all the different tools and techniques that are out there and also teaches you some of the best practices because that’s pretty important in a real-life situation. That is something that I don’t think a lot of theoretical classes can offer.I really liked the instructors the energy that both Phuc and Raja brought to the classroom was really important, especially for a course like data science, which can be kind of dry when other people teach it. So, I felt like their method of instruction was extremely engaging. It was a lot of fun.There was a lot of laughter in class actually and we had a great time getting to know each other in the classroom. The other students that I met came from very different backgrounds so it was very interesting to get some insight into what kind of problems they’re working on. So, I just found that we learned just as much from the discussion that we’re happening then from the actual slides and the material.You get to learn from these experts who have done machine learning and data science and their day jobs and they can tell you exactly what it’s like in the real world. So, I think that’s pretty useful if that’s the kind of experience you’re looking for – Amina Tariq attended Data Science and Data Engineering Bootcamp.

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The data science bootcamp with the University of New Mexico awards 7 CEUs. Python for Data Science provides 2 CEUs upon completion.

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Amina Tariq - Influitive
Influitive
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