Udacity

Quizzes

Training

Ease of learning

More rigor in terms of assessments

More application based

Ability to ask more questions

Courses are very high quality and updated regularly.

Instructors and Mentors are available for live tutoring.

Relevant projects are assigned in order to keep learning material fresh and top of mind.

Pricing models changed from fixed-price to subscription-based.

The student mentor-ship program feel like it has received cuts recently - the experience does not feel as robust or responsive as before.

Their Slack channels are somewhat disorganized.

More than fourteen projects between two Nanodegrees. You can showcase these projects in your portfolio.

Real-time feedback and a community of supporters.

Knowledge hub/base with easy search and some really useful information.

Slack channels were a little disorganized.

The prices are a little bit higher compared to other platforms.

Some courses and tooling for the projects were outdated.

In-depth topics

Clear, organized classes

Fun examples and exercises

To have the teachers/assistants more active in the community/Slack channels and forums

High quality content

Video based interactive platform

Collaboration with industry and universities

Focussed Study material

Better ways for student feedback in courses

Student Mentor relationship needs to be made better with prompt communication from mentors.

Courses need to be better aligned according to industry needs

Excellent material.

Great teachers.

Awesome projects.

Lesson structure is short, concise, and consumable.

Frequent quizzes ensure that you are grasping the content.

Projects are structured to ensure you are practicing the skills you learned in the lessons.

Quiz questions in some cases could be made clearer. I didn't feel the questions were always phrased in a way that I could easily understand what was being asked.

Requests for support can sometimes take a very long time to get resolved.

Cost structure changed from a fixed-price model to a subscription-only model, and prices are significantly increased as such.

Interactive quizzes.

Teaching through practical examples.

Communicate complex technical concepts in layman terms and then going to advanced level.

Organization of courses is not very user-friendly, especially the sequence of courses to take should be more elucidated for a beginner.

There are some courses which are completely tool based on using Alteryx. Instead, more focus on concepts can be given.

The depth of the courses is another issue. The free courses are good for beginners but not to go to the next level.

Nanodegree programs can be better priced.

Practical exercises and projects definitely helps you understand how you may apply the skills and knowledge in real-world projects.

Strong Community where people are generally friendly and helpful for answering questions. Udacity has also made an effort to encourage engagement between all the people who are taking the same courses.

You can watch a video, access reading materials and attempt an exercise without leaving the Udacity environment which is definitely a plus for me.

Put more background, as well as objectives of some exercises to better understand why do we work on things that way.

Some of the projects removed the tedious work required which hide what a candidate may face during real-world projects. Instead, it might be nice to design in a way where candidates need to do more readings to get things working and do the projects.

All are good but would be great if they specify some Slack channels where people who have completed the courses can still get together and attempt some real-world projects together with "classmates" to continue to build their portfolios. Would be great if projects come from Kaggle or some sample projects that help the non-profits, then put them in the Github for sharing.

The online courses are very well done and cover the topics so you truly understand them and can have confidence working on the projects.

Their projects to validate what I learn are very challenging. I spend days on them, but in the end, they come out nice so there is a great feeling when you know you have accomplished something difficult

They have great responsive mentors. I have asked a few questions here and there when I get stuck and they respond quickly, it just always works out for me after I ask the question I go back to try it again and I figure it out. Still, I follow the chats and they provide a lot of good help to students.

When building neural networks and working with the data you have to manipulate the data or convert it into numerical forms in dictionaries, lists, numpy arrays, etc. Some of these data structures can be fairly complex. My only suggestion would be if they could provide a sample of perhaps what the head of the data file might look like as that would make it easier for me to figure out what I need to code to get to the goal. Some of the nested dictionaries in Python, which look like JSON files to me, are sometimes not as easy to visualize just from a written statement of the task to do.

I would also say more references to other reading materials related to what we are learning would be great. I search for a lot of them on my own, but I am never sure if I am reading the good stuff or not. Recommendations would be great.