Examples of using In data science in English and their translations into Chinese
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What's interesting about these results is that most people who participated in  this survey seem to underestimate the number of developers involved in data science.
The specialization is aimed at ambitious students with a relevant Bachelor degree with a strong motivation in data science for biomedical applications.
The MSc in Data Science gives you a solid grounding in data science  concepts and technologies for extracting information and constructing knowledge from data. .
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
In data science, it's the language to beat(with only 1 or 2 serious contenders).
And really this amazing organization Global Women in Data Science, and it's more than a conference.
If you're a beginner, and you're just getting started in data science, you will have a lot to learn.
This suggests that Python's popularity in data science and machine learning is probably the main driver of its fast growth.
However, its use in data science and machine learning domains has been limited to date(although checkout brain. js and synaptic. js!).
However, graphs are an important concept specially in Data Science and are often used to model real life problems.
Women in Data Science:"We built a conference to become a movement".
This unique postgraduate course is your opportunity to develop specialist knowledge in data science and prepare for one of the most in-demand roles.
Doctoral graduates in data science will lead interdisciplinary teams of people with a variety of educational backgrounds.
What is also changing in Data Science is the way we think about our projects.
The profession in Data Science is hailed as the“… Sexiest Job of the 21st Century,” by Harvard Business Review in  October 2012.
When I was beginning my way in data science, I often faced the problem of choosing the most appropriate algorithm for my specific problem.
If you're looking to forge a career in data science, knowledge of big data  and data  frameworks are essential.
We also offer an Online MCS and Online MCS in Data Science, both through the Coursera platform, for busy professionals.
In data science, greater“discriminatory potential” is a primary goal.