{"id":279,"date":"2021-08-23T00:00:00","date_gmt":"2021-08-23T00:00:00","guid":{"rendered":"https:\/\/tac.debuzzify.com\/?p=279"},"modified":"2023-06-27T06:29:54","modified_gmt":"2023-06-27T06:29:54","slug":"become-a-data-scientist-or-data-engineer-without-coding-skills","status":"publish","type":"post","link":"https:\/\/www.the-analytics.club\/become-a-data-scientist-or-data-engineer-without-coding-skills\/","title":{"rendered":"How to Become a Terrific Data Scientist (+Engineer) Without Coding"},"content":{"rendered":"\n\n\n
If you have dreams of becoming a data scientist or a data engineer<\/i>, you’d probably see a black screen full of codes<\/i> in that dream. Polishing your coding skills may be the popular advice you get on this journey. Yet, surprisingly, it has nothing to do with programming.<\/i><\/p>\n\n\n\n Data science is the process of making sense from a raw collection of records. A programing language is only a tool. It’s like a container for cooking your meals. But the container itself is not the meal.<\/i><\/b><\/p>\n<\/blockquote>\n\n\n\n People lose interest in data science because\u00a0some aren’t good at programming.<\/i>\u00a0They couldn’t get their head around even an intuitive language such as Python. Yet, for others, it’s pretty natural.\u00a0But these aren’t inabilities but different abilities.<\/p>\n\n\n\n This story will\u00a0change your perspective. Even if you can’t or don’t want to program, you can become an exceptional data scientist.\u00a0Critical thinking and some data literacy<\/i>\u00a0will make you even more capable of managing a data project.<\/p>\n\n\n\n Today we have\u00a0technologies that require no coding skills<\/i>\u00a0to start data science. They also\u00a0have several benefits programmers don’t have<\/i>. Because of their intuitive nature and fewer dependencies, I’d suggest them to everyone aspiring to become a data scientist.<\/p>\n\n\n\n We’ll discuss the\u00a0KNIME<\/i>\u00a0analytics platform in this post. It requires nothing more than common sense to make sense of data. Another popular alternative is\u00a0Rapidminer<\/i><\/b><\/a>. Both have been around for a while, and many companies use them in production too. Yet, in my opinion, they are still underrated.<\/p>\n\n\n\n Before moving further, let’s first make you a data scientist and a data engineer.<\/p>\n\n\n\n\n
Kickstart data science with KNIME without coding a single line.<\/b><\/h1>\n\n\n\n