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18 Resources to Learn Data Science Online

#artificialintelligence

It's been called the'sexiest job of the 21st century', the'hottest job of the decade', and is the fastest-growing field in tech at the moment – the impact of Data Science in today's world cannot be overstated. As a discipline, data science involves the collection and study of data – both structured and unstructured – to gain insights and information that can be used by organizations to devise effective strategies. By collating data over a period of time, patterns can be identified that enable companies to find new market opportunities, enhance efficiency, reduce costs, and place themselves at a competitive advantage in their industry. Due to rapid technological advances, especially in areas like mobile advertising, social media, and website personalization, a massive amount of data is being generated on a daily basis. These data volumes have resulted in industries having to become data-savvy & adapt to the new landscape – or risk falling behind the competition.


18 Resources to Learn Data Science Online

#artificialintelligence

It's been called the'sexiest job of the 21st century', the'hottest job of the decade', and is the fastest-growing field in tech at the moment – the impact of Data Science in today's world cannot be overstated. As a discipline, data science involves the collection and study of data – both structured and unstructured – to gain insights and information that can be used by organizations to devise effective strategies. By collating data over a period of time, patterns can be identified that enable companies to find new market opportunities, enhance efficiency, reduce costs, and place themselves at a competitive advantage in their industry. Due to rapid technological advances, especially in areas like mobile advertising, social media, and website personalization, a massive amount of data is being generated on a daily basis. These data volumes have resulted in industries having to become data-savvy & adapt to the new landscape – or risk falling behind the competition.



Top 20 Machine Learning & Data Science Websites To Follow in 2020

#artificialintelligence

The most progressive, the most cutting-edge, the most exciting… Data science and machine learning are those areas nowadays that are enormously appealing and hot, hot, super-hot topics. But to stay tuned with all the advances and movements in these fields, you need to put lots of effort -- researching, reading, checking all the information, news, guides, and other stuff. This task is far away from being an easy solution. Right now, you can stumble upon a bunch of places with vivid titles and promising headlines, but are they useful enough? Every day I see a crazy flow of information, and, unfortunately, there are lots of false or worthless stuff, and especially on data science and ML.


Learn Data Science - Resources for Python & R

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Even though it's still hard to agree on a precise definition of data science or the role of a data scientist, the interest in the field keeps on rising: numerous blogs prescribe how to "really" learn data science, hot topics in forums such as Quora deal with discussions that relate to "becoming a data scientist". Naturally, these recommendations and discussions boil down to two essential questions: what is data science exactly and how can one learn it? Leaving the first question for what it is at the moment, DataCamp wanted to focus on the second one in this post. Because maybe right now, you don't have the need to hear yet another definition of what data science is and what it can mean to you. Maybe you want to learn about it and get your first job or to switch your career. You also don't want just another guide that lists 50 resources to check out. You want a list of resources you possibly haven't considered yet! With the popularity of the field comes a whole variety of recommendations from all sides: beginners as well as experts, all with different backgrounds, give their view on what it means to actually learn data science. In the end, considering all these resources and how they might fit your learning style is the key to learning data science. It's about puzzling together the existing resources and making them fit for you. That's why DataCamp presents to you the mystic square of data science learning resources: we already hand you some pieces of the puzzle that you can use to make your learning complete. The best thing about this mystic square is that it contains resources that you might not have considered. That means that the mystic square includes resources that are all complimentary to the ones that you have already encountered and registered to, as learning data science doesn't limit itself to just one resource. Even though the initial search interest for projects was already high to begin with, the demand for data science projects has been particularly high this year. Many users are looking to put their knowledge into practice or to advance their skills even further.