Learn with the best.

• 

  Brynn Claypoole

  Instructor

  Brynn is a former Udacity employee who worked as Lead Data Analyst at Udacity before joining Facebook as Data Engineer. Currently, she is working as software engineer with 10x Genomics.

• 

  Abe Feinberg

  Content Developer

  Abe is a Content Developer at Udacity and previously taught university courses in psychology and computer science. He loves both learning and teaching, and has a particular passion for breaking down difficult concepts and making them easier to master.

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  Kyle Stewart-Franz

  Content Developer

  Kyle has developed projects for a variety of Udacity's Nanodegree programs, such as Self-Driving Car Engineer, Robotics, and Blockchain. Kyle, a self-taught developer, is always striving towards creating great learning experience for students.

The program is good but I don't think it's worth the money. I got this one on 75% discount. I would never pay full price. There are similar courses out there for a fraction of the cost. The feedback from real people is certainly helpful but I am the kind of person that can learn on their own from videos and don't benefit much from having real people support me.

I originally did the Intro to CompSci course in 2014. The videos, quizes and projects are great. But again, I cannot justify the price. Also, having a certificate or not does not really help me as I already have a degree in CompSci.

I do look forward to doing more of the free material on Udacity. If you offer 90% discounts I would consider buying more nanodegrees but otherwise it's too expensive.

For instance, if you want a review on your project you could head over to https://codereview.stackexchange.com or other free and open communities for that.

I just finished the first part (of 4) of the course. It covered a bit of big O notation and problem solving. I got some useful tips from the latter, but I think I will see their value moving forward. For Big O notation it was good as an intro and I hope there will be more about it.

I also took a refresher on Python basics which I enjoyed very much.

The project for this part was relatively short but nice for reasoning about solutions and complexity. The code review was also a high point of the experience. I got to improve some of my ways of working thanks to the review :)

Overall I'm satisfied and I look forward to continuing the course, in the knowledge that this kind of material grows on you as you apply them to everyday software development projects.

I am writing code before I know basic data structures and I also gained couple of years working experience too. On the time being I come to know that how important it is to apply right data structures and algorithm to solve a problem. For lack of knowledge I was not that good which is why I was not confident at the same time.

After this course I found I wrote many programme which can be solved efficiently with using proper data structures and algorithm. I was not thinking much about complexity and use better data structure/algorithm but now I think twice or more before writing any piece of code.

I'm really enjoying the program. I love the jupyter notebook exercises and the learn by doing approach. However I have found some of the exercises extremely time consuming requiring alot of research outside of Udacity to arrive at a solution. This especially applied to the Recursion section for me.

I thought the first project was a great warmup too and would really help people delve more into Python and give them a general sense of where their coding ability needs to be at to progress smoothly with the rest of the course.

It's met and exceeded my expectations -- I am very happy with it, and have learned a lot.

Time expectations set by how long each section says it'll take could be improved. Transparency is always a great thing, and some sections say "this will take a few hours" and have taken me days if not weeks.

There are also more than a few typos in the content -- wanted to avoid seeming negative by pointing them out each time.

I will recommend this program and celebrate on social media once I complete it: great work!

I have learnt a lot theory and gained practical skills. Though one can not completely trust estimated time for each section because, for example, one lesson in section 2 with estimated time of 3 hours took a looooooot longer than another lesson in section 4, and when I say longer, I mean longer 5 times if you really want to learn the topic.. It maybe really misleading for scheduling time to learn

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