My experience at Coding Temple was very positive - I thought they had a well-rounded approach to teaching me and my cohort the technical and non-technical sides of learning how to code and transitioning into a career. I highly recommend it for those interested in software engineering, especially if you don’t have any coding experience! Pros: + Supportive staff to help you learn, navigate job searching and pull through the boot camp ++ My instructor Joel and TA Terrell were very patient and committed to helping me & my cohort understand the content. As long as you are also patient and committed to the process (whether that’s trying to debug your code, figuring out a solution for your problem, understanding a confusing concept), they are there to do it with you! ++ Nicole (student relations manager) and Marlene (career coach) emphasized that they are there to help you succeed and I felt that through & through! Nicole has a great network of guest speakers, and I love that she brought in speakers who addressed imposter syndrome and the mental health aspects of job searching. Marlene was incredibly helpful in navigating the job search and networking. I was able to find a job during the bootcamp, and even though it wasn’t related to SWE or data analytics, Marlene helped me through the hiring process, negotiating and networking! The conversations I had with Nicole, Marlene and the guest speakers were very empowering and continue to stick with me after the bootcamp. + Energetic culture - active slack channel, extra activities (game night, algorithm night with prizes), cool gather towns + Variety of resources - TAs, guest speakers, post-bootcamp job and interview support + Variety of hands-on projects for software engineering part of curriculum ++The curriculum covered a good variety (Advanced Python, HTML/CSS, JavaScript, SQL, Flask, React & Data Analytics) of topics so I feel like I got just enough exposure to understand the basics and dive deep into a project at the end of each week. Cons: - Curriculum could be more thorough for data analytics (i.e. algorithms, hands-on projects) -- During the data analytics part of the course, there were a couple days when class ended early and we mainly covered how to code for data analytics (Pandas, Numpy, Matplotlib). It would've been nice to cover different algorithms/machine learning concepts. |