By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials.
Этот курс входит в специализацию ''Специализация Наука о данных для руководителей'
от партнера
Об этом курсе
Карьерные результаты учащихся
22%
24%
Чему вы научитесь
Describe Data Science’s role in various contexts
Understand how Statistics and Machine Learning affect Data Science
Use the key terms used by data scientist
Predict whether a Data Science project will be successful
Приобретаемые навыки
Карьерные результаты учащихся
22%
24%
от партнера

Университет Джонса Хопкинса
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
Программа курса: что вы изучите
A Crash Course in Data Science
This one-module course constitutes the first "week" of the Executive Data Science Specialization. This is an intensive introduction to what you need to know about data science itself. You'll learn important terminology and how successful organizations use data science.
Рецензии
Лучшие отзывы о курсе A CRASH COURSE IN DATA SCIENCE
Questions could have been more difficult. Plus, I'm frustrated that I was taken into a 25-question survey ranking me with other data scientists, but when I clicked out of it I wasn't able to get back.
This course introduced me to the concepts of Data Science and the key words mainly. Some lecturers spoke very fast, and I had listen to them two or three times to keep up with their pace of speaking.
fairly general concepts of data science, but may be quite helpful l for people totally new to the field of data (e.g. not having any idea), or as material to review the big picture of data science
Enjoyed the pace at which the course moved. Teachers were qualified and relevant. Video Production quality could be better, some of the presentation graph were illegible - thus the lack of 1 star.
Специализация Наука о данных для руководителей: общие сведения
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.

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Is financial aid available?
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