DataCamp

Great Quality content for all the Data folks

Kommentare: Overall, I really liked the platform where they provide so many features that has helped me and my team gain knowledge, sharpen the skills and helps us get back to Datacamp when we have to refer something keeping our daily work in progress.

Vorteile:

Gained a lot of knowledge with various topics on Cloud concepts, Data analytics, Python, R programming, BigData concepts with both bite sized videos of theory at first where the instructors from the industry explain with examples, after each video there is a hands-on session with a simple and nice interface. There is also a workspace area where we can practice and showcase our skills and share it too being part of our portfolio. The assessments they provide us gives us information about what we learn, the areas we are strong in and the progress of our learning. Lastly, there is good support, when stuck we can get hints to proceed with the programming tasks, MCQs. Apart from this there is a Slack community where there are lot of active users and instructors that solve doubts quickly and efficiently.

Nachteile:

Their VM crashes when learning the Tableau, Power BI and it takes a lot of time for it to load initially. Secondly, I faced an issue with the course progress where I had completed 3 modules/chapters out of 4, but when I tried to proceed to the next chapter (4th), it automatically reseted the progress of the 3rd chapter and showed that I did not complete it. Had taken screenshots and sent had given the feedback in the feedback section for each module.

Best learning platform for data analytics and data science

Kommentare: Overall, we had a great experience using DataCamp as our learning platform for our data team. As a manager, it's very convenient to recommend and assign courses for my team members to work on while also being able to check their progress.

Vorteile:

First, I like the interactive learning style in DataCamp. It's much more effective to learn while coding and getting instant feedback, while also doing it at your own pace. I also like the quality and wide range of courses in DataCamp.

Nachteile:

The price is a bit high. Other than that, I don't really have anything else I dislike about DataCamp.

My Review of DataCamp

Kommentare: My overall experience with DataCamp is very good and I enjoy learning through it.

Vorteile:

I like that DataCamp focuses on computer science which has a huge demand in the market. I also like that each course is offered in two programming languages like python or R language. The interface of DataCamp is straightforward and makes you want always to keep learning.

Nachteile:

I don't like that DataCamp doesn't have any discussion forum that allows us to exchange information and share our knowledge. Also, DataCamp is overpriced compared to the competitors and doesn't provide any scholarships

Easy access to new habilities.

Kommentare: I was very lucky to learn about DataCamp, it help me to get a new level of knowledge with very practical exercises.

Vorteile:

Is a life changer! Tutorials and courses of very interesting topics. In my case is coding and you can choose your favorite.

Nachteile:

The prices are not bad for all that you can get.

A Comprehensive Online Learning Platform for Data Science and Programming

Vorteile:

Wide range of courses: Datacamp offers a large selection of courses in a variety of programming languages and data science topics, making it a good choice for those looking to learn or improve their skills in these areas. Interactive learning experience: Datacamp courses are interactive, allowing users to practice what they have learned through exercises and quizzes as they go through the material.

Nachteile:

Cost: While Datacamp offers a free trial and discounts for students, its courses can be expensive for those who are looking for a more budget-friendly learning option. Difficulty finding specific courses: With such a large selection of courses available, it can be challenging to find the specific course you are looking for, especially if you are not sure of the exact title or subject area.