Fullstack Academy Data Analytics Bootcamp (Part-Time)

 As a Business Analyst at the University of Chicago, I initially joined the Data Analytics Bootcamp specifically to master SQL. I was impressed to find the curriculum went far beyond that, covering Python, Tableau, and PowerBI in depth. Over the past few months, I’ve already been able to integrate these new skills directly into my current role, and I feel much more confident pivoting into larger-scale data challenges.A huge part of the success of this program is the instruction; Tina Lowry is incredibly knowledgeable and goes above and beyond, providing additional office hours that were instrumental to my learning. I highly recommend this bootcamp to any data professional—from beginner to intermediate—looking to bridge the gap in their technical toolkit.The class has also helped me discover a passion for data storytelling which I'm excited to explore very soon!

I absolutely loved Fullstack's Data Bootcamp. I took the part-time bootcamp and I was able to continue working while taking the class. I have a background in computer science and was still able to learn a lot and prepare a portfolio for a data analytics career. Tina Lowry was an amazing instructor who gave us additional practical and real-world experience outside of the assigned curriculum. She always made herself available to help outside of class for any additional help or questions. Kim Wood was an exceptional resource after the bootcamp, helping and advising how to job search. I felt prepared and ready for interviews with her help. The only reason I would give the curriculum is 4/5 is because some of the information was a little out of date. Tina always made sure we were aware of the changes and went over the new ways. Tech changes quickly, and it is understandable but the curriculum should be updated to reflect the new information. I highly recommend Fullstack for anyone serious about breaking into data analytics.