Technology
How to apply it to find common language between business and data science people, how to avoid the pitfall of shiny solutions, translating complex business needs to tangible requirements, and making your work more meaningful.
BTW, if you are not a data scientist yet, but want to become one, you should really attend our webinar. We will demystify the transition into data science. We will show you the most effective way to build your skills. And we will advise you on the four possible options you can take to go from where you are to landing a data science job in as little as 9 months. Find out more here.
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20 - Systems thinking in data science
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19 - How to fast-track your domain knowledge
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18 - The 7 habits of thinking in questions
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17 - The art of reinventing the wheel
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16 - There will be errors
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