365 Data Science vs. Microsoft Hands-on Labs

365 Data Science is perfect for beginners—people or organizations—to start doing data science. They never assume you know something before explaining it. 365 Data Science is not optimal for experienced programmers as they would find the pace too slow.

The Microsoft Hands-on Labs were great for training when working alongside an instructor. They would show things on their screen, and I would work alongside with a real environment. Being able to actually use the environment and interact with it was more preferable than just a straight lecture. It allowed me hands-on practice.

Incentivized

• Well-structured courses.
• Easy to use platform.
• Great customer support.

• The platform was simple
• It did what it needed to do

Incentivized

• There was no coding in the browser supported. I know that other platforms offer this, but the 365 Team suggested that having all files on your PC resembles real-life coding much better.

• Copying and pasting can be clunky
• Sometimes the instructions are not accurate
• For some Microsoft tools, it requires you to create a temporary account, which takes some time and is time-consuming
• Have to remember to save or you will lose your environment
• May not be the most user-friendly to initially start

Incentivized

Their support is very friendly and it answered all my inquiries in a timely manner.

I've tried several alternatives, but 365 Data Science really provides the whole package.

I think Udemy is really superior as a platform, people create super high quality courses that get employees up to speed in days. The platform has a web and mobile app and has taking notes functionality that can be exported

Incentivized

• It helped me to learn on how to better use big data and apply it to my business and research.

• I think it has a positive impact in having a platform to train employees
• I don't think the cost might be worth it given that the content is super dry

Incentivized