{"id":941,"date":"2021-01-09T17:38:43","date_gmt":"2021-01-09T12:08:43","guid":{"rendered":"https:\/\/editor.eduplusnow.com\/?p=941"},"modified":"2021-01-09T17:38:43","modified_gmt":"2021-01-09T12:08:43","slug":"the-beginners-guide-to-data-science-part-1","status":"publish","type":"post","link":"https:\/\/blog.eduplusnow.com\/blog\/the-beginners-guide-to-data-science-part-1\/","title":{"rendered":"The Beginner\u2019s Guide to Data Science – Part 1"},"content":{"rendered":"

Data Science is a relatively new subject that needs to be delved into for clarity as it has various aspects and unanswered questions, we, at Edu Plus Now are here with a Beginner\u2019s Guide to Data Science. The 1st part of the blog will cover topics like what is data science, what does a data scientist do, and what are the steps they follow while conducting a Data Science Project. The 2nd part will go up shortly, make sure you check it out too.<\/p>\n

What is Data Science?<\/h1>\n

Ever wondered how online streaming platforms know which shows to recommend to you based on your ratings, the shows you previously watched, and your preferences? Ever wondered why the products line-up of \u2018Frequently Bought Together\u2019 or \u2018Customers Also Bought\u2019 when you add something to your cart on online shopping sites and applications? When you place an order on a food delivery application, how do they instantly curate the \u2018You may also like\u2019 line-up?<\/p>\n

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The world has entered the era of data and digits very swiftly and extensively in the past two decades. And with the steep rise in data acquisition grew the need for storage space and internet usage. Ten years ago, Artificial Intelligence was the \u2018IT\u2019 thing in the market. Ten years down the line, Data Science will undoubtedly be the \u2018IT\u2019 thing.<\/p>\n

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In simple words, Data Science is an amalgamation of various tools, algorithms, and machine learning principles to discover what the consumers want. Now some of us may wonder, \u2018Haven\u2019t statisticians done this for years?\u2019. The answer is yes, they have. But the significant difference is that a Data Analyst usually explains what is going on by processing the history of the data. On the other hand, a Data Scientist not only conducts the exploratory analysis to scoop out insights from it but also uses various advanced machine learning algorithms to recognize the occurrence of any probable event in the future. A Data Scientist looks at the data from different sources including the ones often missed out by an average statistician. For better explanation and clarity, you can study the flowchart below –<\/p>\n

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What does a Data Scientist do?<\/h1>\n

A Data Scientist cracks complex data problems with their brilliant expertise in some particular scientific disciplines where they work with different elements related to mathematics, statistics, computer science, and many more. They make a lot of use of the latest technologies in finding solutions and reaching conclusions that are crucial for an organization\u2019s growth and development. Data Scientists present the data in a much more useful form as compared to the raw data available to them from structured as well as unstructured forms.<\/p>\n

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What are the steps they follow?<\/h1>\n