365 Data Science Recensioni 

875
•
TrustScore 5 su 5

4,8

Anche se non controlliamo le affermazioni specifiche, trattandosi di opinioni personali, etichettiamo le recensioni come “Verificate” quando riusciamo a confermare che c'è stata un'interazione commerciale effettiva. Leggi di più

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Scopri cosa dicono le persone

Valutata 5 stelle su 5

I definitely enjoyed this course! It's a MUST for early career transitioners. As for me, I learned a lot and took me around 2 weeks going thoroughly every lesson. There are some minor issues with o... Leggi di più

Valutata 5 stelle su 5

The courses on Python (Bootcamp specially), R (Beginner plus advanced) and Tableau (Introductory) were designed for a beginner. One could follow the instructions line by line. And one could get the co... Leggi di più

Valutata 5 stelle su 5

For a starter, this course gives me much knowledge about Jupyter - its benefits and how it's related to Python. The course also provides useful information of Jupyter's shortcuts. All these informati... Leggi di più

Valutata 4 stelle su 5

The courses on this platform are of high quality, providing great content on relevant topics. The provided guidance makes it easy even for beginners. Intermediate exams and exercises help you finali... Leggi di più

Dettagli dell'azienda

  1. Istituto di formazione per l'uso di software

Informazioni su 365 Data Science

Scritti dall'azienda

LEARNING | 365 Data Science provides an all-around, step-by-step online program for aspiring data scientists. Our courses start from the basics (Mathematics and Statistics) and gradually build up our students’ skills, teaching them SQL, Python, R, Machine Learning, and Deep Learning. We have over 400 exercises and 50 hours of video lessons, as well as many downloadable resources, course notes, and notebook files. COMMUNITY | Our students are more than 400,000 and come from all around the globe. We also create additional content which aims to help a wider audience of readers to navigate the world of data science. We feature articles on big media outlets like Forbes, Huffington Post, Inc.com, Datascience.com, and KDnuggets.
OUR MISSION | We develop our materials to help students take their interest in data science and develop it into a career opportunity, even without relevant background or prior experience. They learn form a neatly structured, all-around program and acquire the key skills necessary to become a data science expert. The curriculum is designed to build up on each newly-acquired skill with the next logical one, starting from mathematics and statistics and reaching machine and deep learning. We believe in holistic education, so our students don’t just apply the functions as a black box – they learn what’s under the hood. With the 365 Data Science Program, students get to see what it means to be a data scientist – from working with insufficient data all the way to presenting their work to C-class management.
SUPPORT | We encourage our students to interact with the instructors, so the people who develop the course are always a message away to clarify concepts and answer questions. Positive and encouraging, they know what they’re talking about and provide clear in-depth explanations.

Informazioni di contatto

4,8

Eccellente

TrustScore 5 su 5

875 recensioni

5 stelle
4 stelle
3 stelle
2 stelle
1 stella

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Scopri come vengono raccolte, valutate e moderate le loro recensioni e valutazioni.

4,8

Tutte le recensioni

(875)

65 recensioni negli ultimi 12 mesi

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Valutata 5 stelle su 5

This course is really beginner friendly

I thoroughly enjoyed the Introduction to Python course by 365 Data Science! The content was well-structured and easy to follow, even for beginners. I highly recommend this course to anyone starting their programming journey. Looking forward to exploring more courses from 365 Data Science. Thank you!

20 novembre 2024
Non scritta su invito
Valutata 5 stelle su 5

365 data science

365 data science
in the best platform ever to learn about data. The quality of the content is incredible. Thank you to the team.

19 novembre 2024
Non scritta su invito
Valutata 5 stelle su 5

Understanding Data Science

365 Data Science has really made me understand the concepts of Data Science and I wish to go deeper into depth with the Course. Thanks 365 Data Science

18 novembre 2024
Non scritta su invito
Valutata 5 stelle su 5

The course provided aExcellent Introduction to Python for Beginners comprehensive…

The course provided a comprehensive introduction to Python, with clear explanations and practical exercises that helped me understand the basics thoroughly. I appreciated the hands-on projects that allowed me to apply what I learned in real-world scenarios. While the course was excellent overall, I think it could benefit from more advanced topics towards the end to bridge the gap to intermediate Python skills

15 novembre 2024
Non scritta su invito
Valutata 5 stelle su 5

A/B test in Python for people with knowledge on statistics & python.

The structure of this course is accurate to the needs of the online business due to it is focused on applications, ads, ad and users. Through python which allows accuracy on the solutions to the different cases ( scenarios & fictional) but these scenarios are not away of the real life problems .So this approach to A/B test made on me an accurate initiation into the businesses grow.

13 novembre 2024
Non scritta su invito
Valutata 4 stelle su 5

Great courses!

The courses on this platform are of high quality, providing great content on relevant topics. The provided guidance makes it easy even for beginners. Intermediate exams and exercises help you finalize the course with ease.
The only pitfall is the e-learning platform itself. May it be the online code-editor that most of the time does not accept code that does what was requested. Often not even copy-pasting the solution in allowed it to successfully submit the task.
All in all well done!

14 novembre 2024
Non scritta su invito
Valutata 4 stelle su 5

Exam review

I like the course; the exam wasn't really complicated. However, I have a slight concern about whether the exam might have mistakes. eg: case 4 question 21 on the table name, and also the writing of consumption_level without _ In the right answer

13 novembre 2024
Non scritta su invito

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