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I often get asked- what's the BEST Certification for #datascience or #machinelearning? 👉My answer is: none The reality is that certification don't matter for data science. This is not commerce. we are not using the same techniques over and over again to solve well-defined problems. The problems are challenging, the data is messy and numerous techniques are used. So if you've wondering which certification you should get, Save yourself,some mental energy and stop thinking about it- they are not really matter. 👉 Instead, grab a dataset and start playing with it. 👉 Start applying what you know and trying to solve interesting problems, learn something new every day. 👉 Here are few places to grab datasets to get you started Google: https://toolbox.google.com/datasetsearch Kaggle: https://www.kaggle.com/datasets US Government Dataset: www.data.gov Quandl: https://www.quandl.com/ UCI ML repo: http://mlr.cs.umass.edu/ml/datasets.html World Bank🏦: https://data.worldbank.org/

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🔥WEBSITES TO GET FREE DATA SCIENCE CERTIFICATIONS🔥 👌. Kaggle: http://kaggle.com 👌. freeCodeCamp: http://freecodecamp.org 👌. Cognitive Class: http://cognitiveclass.ai 👌. Microsoft Learn: http://learn.microsoft.com 👌. Google's Learning Platform: https://developers.google.com/learn

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New developers: whenever you work on something interesting, write it down in a document which you keep updating. This will be very helpful when you need to create a resume or have to talk about your achievements in an interview. (Or for college essays.) I can guarantee you that if you don't do this, you will forget half the interesting things you've done; and for a majority of us, our brains are experts in convincing us that we haven't really done anything interesting.

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🚀 Required Skills for a data scientist 🎯Statistics and Probability 🎯Mathematics 🎯Python, R, SAS and Scala or other. 🎯Data visualisation 🎯Big data 🎯Data inquisitiveness 🎯Business expertise 🎯Critical thinking 🎯Machine learning, deep learning and AI 🎯Communication skills 🎯Teamwork