Отзывы учащихся о курсе Building a Data Science Team от партнера Университет Джонса Хопкинса

This course was an exceptional experience where it introduces me to building a data science team, its challenges, nuances and also what kind of approach to take while building and sustaining the team.

Very well organized. Might consider adding couple of additional speakers with with more executive and management level experience with organizations that successfully implemented Data Science.

Well Taught Course , loved the lecturer present the information,for you who want to improved your management skill in data science this course can provide the introduction ,REST ? read a book

Extremely practical and essentially human, this was really interesting to better understand the different roles and how to help data science teams to work together, highly recommended

The mode of teaching was interesting and I hope you can do better in the area of providing answers to questions we missed after the course. Thanks for the opportunity given to me.

Excellent course. All leadership in organizations that are data-driven or taking steps towards being data driven should enroll to this course. The quizzes could be better though.

Great course, learned lots about building and leading a data science team; and also some tips on keeping teams motivated and ensuing communication and collaboration works well.

Очень полезный и интересный курс, дает достаточно теории и идей о том, с чего стоит начать работу по построению команды и на что нужно обращать внимание, будучи DS менеджером

good overview and introduction to manager as to what traits to lookout for and organising the team. Very practical approach and implementable without being over the top.

Hi everyone !

It is my honor to appreciate what I learnt from this course. I love it,the university,and the instructors. It is a step forward for my carrier.

High level but with enough details and context to make sense of the manager/exec/director's role in data science or the enterprise employing data science.

I will be using in my project,

It is really important to articulate the various areas of my organization with the data censors, can work transversally

This is a very well structured and really useful course, with several real-life examples and some interesting blog posts and articles on the subject.

Great overview of team roles / responsibilities, how the team can "fit" into the organization, and how to handle engagement with non data community

very nice. The boundaries of skills between data engineers and data scientists are sometimes a little artificial but I enjoyed the material a lot.

This course gave me a good understanding and helpful tips on how to deal with a professional team to keep them motivated and increase productivity

Esta serie de cursos, es recomendable para iniciar en la carrera de Ciencia de Datos, conceptos claros, expuestos por catedráticos de primer nivel

Great content for managers and those who are interested to be one. You'll learn effective people management and basic conflict resolution skills.

a good course to get the Data Science team up and running. gives an overview of each roles and their responsibilities so as possible shortcoming.

Great course, helpful for building and effectively managing a data science team, with a good amount of detail for handling tricky situations.

It's clear and well explained. This point of view from a practitionner is really useful, even if the course has been created a few years ago

Great set of tools requiered to create an Analytics Strategy, something that is very requiered, event at the same level as technical skills.

A very helpful course in understanding how the team composition should be and the typical Job descriptions of different members of the team.

Very good course for any manager how to handle and manage team. It not only apply data science team but in general team management as well.

Very applicable course structure. Thank you for placing the strengths and challenges of managing a DS team into a well delivered course.