BEYOND THE EYE

Data science can be best learned when you design your own curriculum. In this day and age where there is no standard curriculum designed by the academe, it is better to know your you are vis-à-vis data science. You must research the skills of a data scientist. It is better to make a checklist so you can be guided on what to do. Then, you are going to make a plan and eventually your own curriculum. By doing so, you can focus on skills that matter to you a lot to become a data scientist.

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Is DATA SCIENCE the RIGHT CAREER CHOICE for everyone? Data science is needed by everyone but not everyone is data science. If you are serious about making data science your career path, then it is time for you to examine your present capabilities and compare them with those demanded of a data scientist. This way you can learn and develop what you do not have and master more what you already have. Learn the four tests for you to understand if you rightfully choose data science as your career path.

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Learning data science by self-study might be your only option if you do not have enough time to go on training, be it online or offline. This is very advantageous since you can do it at your own pace without compromising other things like your job. However, there are things that you must consider knowing if you are ready to do this. You can save your money and time by the tips I am mentioning.

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Learning data science is not an overnight affair so it is necessary to have a complete learning roadmap that can guide you on how to move forward in your data science career. Although each person has his own learning style, it is still very important to know your present skills and those that you need to acquire. With this, you must compare you present ability and capabilities with those needed of a data scientist. With this, you can streamline your focus to save you your time and money.

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Data Science is best learned when it is viewed in a piecemeal way. The best data science learning tip is when you know how to connect different key areas of learning. You should be able to connect marketing to numbers to technology and to many more. Most, if not all, aspiring data scientists will find it difficult to learn data science because they want to learn everything all at once. The truth of the matter is that data science is a very vast field that requires a focus on a certain domain as a beginner. As you get the experience, you can expand.

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This is a trailer wherein we will talk about our journeys to becoming a data scientist. Stay tuned for very exciting and informational talks. 

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