{"id":846,"date":"2020-03-12T17:05:05","date_gmt":"2020-03-12T11:35:05","guid":{"rendered":"https:\/\/editor.eduplusnow.com\/?p=846"},"modified":"2020-03-12T17:05:05","modified_gmt":"2020-03-12T11:35:05","slug":"5-must-have-skills-for-data-science-professionals","status":"publish","type":"post","link":"https:\/\/blog.eduplusnow.com\/blog\/5-must-have-skills-for-data-science-professionals\/","title":{"rendered":"5 Must-Have Skills for Data Science Professionals"},"content":{"rendered":"

5 Must-Have Skills for Data Science Professionals<\/strong><\/h1>\n
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\u201cBig data is at the foundation of all the megatrends that are happening.\u201d
\n\u2013 By Chris Lynch, American Writer of Books<\/span><\/i><\/p>\n

Want to become a data scientist? An interdisciplinary field that draws on aspects of math, science, computer science, business and communication, data science allows an organization to make critical business decisions through data exploration, representation, visualization, and presentation, among others. The goal is to turn data into information and turn the information into insights. Most organizations, from healthcare to software and real estate, have realized the importance of data and are now hiring data scientists who can crunch the numbers and come up with valuable insights from the burgeoning information.<\/span><\/p>\n

Data science as a field is ever-evolving. Therefore, for becoming a data scientist you need to possess the right set of skills, technical and non-technical. In this article, we outline the top skills you need to bag the best data science jobs out there.<\/span><\/p>\n

5 Must-Have Technical Skills for a Data Scientist<\/span><\/i><\/h2>\n
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\u00a0<\/span>Mathematical Skills<\/span><\/h3>\n

Math, programming and statistical skills are crucial for a data scientist. Data scientists should be able to work with tools such as distributions, statistical tests, and maximum likelihood estimators to develop complex financial or operational models. Data scientists leverage their expertise in mathematics to develop statistical models that can be used to create key business strategies. Understanding and applying logarithmic and exponential relationships are common in real-world data. This is how data scientists can find meaning in data. Some topics of data science that you should be familiar with include:<\/span><\/p>\n