{"id":1864,"date":"2019-08-05T02:26:25","date_gmt":"2019-08-05T02:26:25","guid":{"rendered":"http:\/\/kusuaks7\/?p=1469"},"modified":"2024-07-19T15:16:21","modified_gmt":"2024-07-19T15:16:21","slug":"is-sql-needed-to-be-a-data-scientist","status":"publish","type":"post","link":"https:\/\/www.experfy.com\/blog\/bigdata-cloud\/is-sql-needed-to-be-a-data-scientist\/","title":{"rendered":"Is SQL needed to be a data scientist?"},"content":{"rendered":"\t\t
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\n\t\t\t\t\t\t\t\t\tThe short answer is yes. As long as there is \u2018data\u2019 in data scientist, Structured Query Language (or see-quel as we call it) will remain an important part of it. In this blog, let us explore data science and its relationship with SQL, including answers to the 5 Ws and 1 H \u2013 how, why, where, when, who and what. We will also learn the basics of Database Management Systems (DBMS) and understand how being a data scientist could be the best choice for your career.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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What is data science?<\/b><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tData science is broad in its perspective and a\u00a0data scientist<\/a>\u00a0requires deep knowledge of one or more of the various streams of mathematics, machine learning, computer science, statistical research, data processing and of course domain expertise. Each of these streams needs extensive work with data, be it collection, analysis or processing. If you are preparing for a data science interview, go through these essential\u00a0data science interview questions.<\/a>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Why is data science so popular?<\/b><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tThe digital world is at its peak, and with growing demands and extensive marketing strategies data has become the key to all marketing purposes. For example, if I want to buy a new phone, I go to online shops like Amazon or Flipkart, browse through different brands, put a few in my cart, but decide to buy it later after some more research. Internally, the online shop would save my shopping cart and browsing history and show me suggestions for more phones when I come back later. Even if I don\u2019t buy, the company would send me emails to remind me that my shopping cart is “still waiting for me.” Data, thus plays the most important role in creating a relationship between buyer and seller. The more data customer shells out, the more customized a stream is presented to the buyer. This is not just true for e-commerce, but data science is proving extremely useful in many other domains like healthcare, manufacturing, banking, finance and transport.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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How?<\/b><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tCollection<\/strong>\u00a0\u2013 Suppose you are at IKEA and checking out a fitted sheet. You buy the product and leave. Later you realize you want more of the same product and come back. You tell your friends how useful and inexpensive the product is and they are convinced to buy it too. Manufacturers use this data to understand the likes of customers and update their inventory to have more of the products that are popular. Further, constant feedback helps them bring improvements to their existing product.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tProcessing<\/strong>\u00a0\u2013 The data from users is collected, and during the modelling and planning stage actionable insights are taken into account. For example, more customers looking for a particular colored fitted sheet or a specific cloth for their curtains.\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tAnalysis<\/strong>\u00a0\u2013 Imagine you bought a blue color fitted sheet, but realize for your room’s ambiance that green would be a better choice, which is not available currently. Green is a common, popular color. With the analysis of human inputs and data management tools, it can be determined whether or not introducing a green fitted sheet would be a good idea, if it will serve the purpose of more customers, and bring more profit.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tFor demand forecasting and inventory management, we need to store all the user information including their purchases, likes and dislikes, feedback, etc. somewhere.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Where?<\/strong><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tYes, you got it \u2013 everything is stored in a database. SQL is thus vital for handling humongous amounts of data that need to be processed on a regular basis. It also acts as an important tool for the right marketing and feedback that data science intends to do. For example, if you don\u2019t like a video that Facebook is suggesting you \u2013 you would say \u2018hide this\u2019 and Facebook will immediately ask you for a reason. These user preferences also need to be stored somewhere.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tThrough a relational database like SQL, data science provides a continuous system to process and improve the way data is presented and handled.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Where does SQL fit in?<\/b><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tSQL is an important part of the entire data science universe. But, where exactly does it fit in? If you want to be a data analyst, data engineer or data architect, you will need to\u00a0learn SQL\u00a0along with programming languages like C, R and Python. Here is a simple diagram that shows the stages where SQL is used:\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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For original image source, click\u00a0here<\/a>.<\/p>\nThe highlighted portion is where we need SQL knowledge: big data, big data analytics and data analysis.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Why SQL?<\/b><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tThough there are\u00a0NoSQL<\/a>\u00a0databases that offer high performance and speed, SQL databases are still most widely used for all practical purposes. There are more developers who understand SQL technology and hence the support and documentation are more plentiful. Further, data integrity is one key factor that makes SQL stand apart from any NoSQL database, by way of the assurance that no duplicates or unauthorized data can enter the system. Also, for complex queries and joins, a well-structured relational database works better.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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What is SQL?<\/b><\/h2><\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tSQL is a relational database management system used for storing, retrieving, updating and reading data from the database. If you get introduced to SQL from the basics through\u00a0this beautifully designed course<\/a>, you will love SQL for life.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\t\nFor this blog, we will concentrate on how SQL matters to data science. Let us take a simple example of how you as a data scientist could possibly use SQL to collect and analyze data.\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\t\t\t\t\tSuppose you want to know the popularity of a book named \u2018The Data Science Handbook\u2019 by the author \u2018Carl Shan\u2019 by checking how many users ordered a copy of it. Because SQL is a well-structured language with a proper schema, you could have a structure like this:\n