

{"id":151,"date":"2020-12-27T20:31:02","date_gmt":"2020-12-27T15:01:02","guid":{"rendered":"https:\/\/data-flair.training\/news\/?p=151"},"modified":"2020-12-27T20:31:02","modified_gmt":"2020-12-27T15:01:02","slug":"10-skills-that-will-take-you-closer-to-your-data-science-dream","status":"publish","type":"post","link":"https:\/\/data-flair.training\/news\/10-skills-that-will-take-you-closer-to-your-data-science-dream\/","title":{"rendered":"10 Skills that will take you Closer to your Data Science Dream"},"content":{"rendered":"<p><strong>Data Science \u2013 The sexiest job of the 21st century<\/strong><\/p>\n<p><span style=\"font-weight: 400\">Data Science is one of the hottest career options these days and the demand for Data Scientists is continuously growing especially in the IT sector. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Seeing such a lucrative career field, most of the people just enter into it without even grasping proper skills and knowledge and thus, they often fail.<\/span><\/p>\n<p><span style=\"font-weight: 400\">To become a standout Data scientist, you need to have the necessary skills and knowledge. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Along with this, you are required to remain updated with the latest market trends.<\/span><\/p>\n<p><span style=\"font-weight: 400\">This article presents the most important skills that will take you closer to your Data Science Dream.<\/span><\/p>\n<h2>Top 10 Must Have Technical Skills to Become Data Scientist<\/h2>\n<h3><span style=\"font-weight: 400\">1. Mathematics\u00a0<\/span><\/h3>\n<p><span style=\"font-weight: 400\">It is essential for a Data Scientist to have a strong background for mathematics. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Various concepts of mathematics such as multivariate calculus, Linear Algebra are the base of many algorithms.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Thus implementing such algorithms will require you to have knowledge of Mathematics concepts.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Understanding mathematics will also help you to have a strong foundation in the areas of machine learning, which is very significant and useful for Data Scientists.<\/span><\/p>\n<h3><span style=\"font-weight: 400\">2. Statistics and Probability<\/span><\/h3>\n<p><span style=\"font-weight: 400\">One of the major tasks of Data Scientists is to extract the valuable information from the collected data and make informed decisions. <\/span><\/p>\n<p><span style=\"font-weight: 400\">The data scientists are also required to estimate, predict and conclude for decision making.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">All these tasks require the use of statistics and probability. <\/span><\/p>\n<p><span style=\"font-weight: 400\">The techniques of statistics and probability enable us to understand the relation between variables, discover the hidden patterns, and predict future events.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Thus, statistics and probability plays an integral role for Data Scientists.<\/span><\/p>\n<h3><span style=\"font-weight: 400\">3. Python<\/span><\/h3>\n<p><span style=\"font-weight: 400\"><a href=\"https:\/\/data-flair.training\/blogs\/python-tutorials-home\/\">Python<\/a> is currently one of the most preferred languages for Data Science, Big Data and Machine Learning projects. <\/span><\/p>\n<p><span style=\"font-weight: 400\">It has unique features and simple syntax that make it more popular.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">It also has various libraries and frameworks such as Pandas, NumPy, SciPy, Seaborn, MatPlotlib which are very useful for Data Scientists.<\/span><\/p>\n<h3><span style=\"font-weight: 400\">4. Other Programming Languages<\/span><\/h3>\n<p><span style=\"font-weight: 400\">Apart from Python, there are various other programming languages which a Data Scientist should be familiar with.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">These are Java, Scala, R, JavaScript, SAS, Scala. <\/span><\/p>\n<p><span style=\"font-weight: 400\">All these languages are extremely popular and useful for executing the tasks of Data Scientists.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Before deciding to learn any of these languages, pros and cons along with the suitability of each language with the particular industry you are seeking to enter, needs to be considered.<\/span><\/p>\n<p style=\"text-align: center\"><em><strong>Stay updated with latest Data Science job trends<\/strong><\/em><br \/>\n<a href=\"https:\/\/t.me\/jobpremier\"><em><strong>Join Data Science Job Board on Telegram<\/strong><\/em><\/a><\/p>\n<h3><span style=\"font-weight: 400\">5. Analytical Tools<\/span><\/h3>\n<p><span style=\"font-weight: 400\">Analytical tools such as Spark, Hadoop, and SQL provide useful frameworks for data processing. <\/span><\/p>\n<p><span style=\"font-weight: 400\">The tools also help to extract valuable insights from data.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Using these tools for the purpose of data processing makes the task easier and effective.\u00a0 <\/span><\/p>\n<p><span style=\"font-weight: 400\">Thus, having sufficient knowledge for handling these tools is very important to become a proficient Data Scientist.<\/span><\/p>\n<h3><span style=\"font-weight: 400\">6. Machine Learning and AI<\/span><\/h3>\n<p><span style=\"font-weight: 400\">A Data Scientist needs to be efficient in the area of Machine Learning. <\/span><\/p>\n<p><span style=\"font-weight: 400\">You need to know various machine learning techniques such as reinforcement learning, neural networks, decision trees, logistic regression to compete with other data scientists.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Data Scientists need to be well-versed with the technologies of Artificial Intelligence and Machine Learning.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Data Scientists need to work with large amounts of datasets and thus it requires applications of machine learning skills.<\/span><\/p>\n<h3><span style=\"font-weight: 400\">7. Data Visualization<\/span><\/h3>\n<p><span style=\"font-weight: 400\">The collected data needs to be analyzed in order to make it worth and useful for decision-making. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Until and unless you are not able to understand the data, it is of no use.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">There are various Data visualization tools such as <a href=\"https:\/\/docs.microsoft.com\/en-us\/power-bi\/fundamentals\/power-bi-overview\">PowerBI<\/a>, Tableau, MatPlotlib, GPlot that enable us to convert our necessary data into charts, graphs and other visuals.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Knowledge of Data Visualizations tools helps Data Scientists to understand and analyze the overall conditions of the business in an easier manner. <\/span><\/p>\n<p><span style=\"font-weight: 400\">And accordingly helps them to make better decisions.<\/span><\/p>\n<h3><span style=\"font-weight: 400\">8. Data Wrangling<\/span><\/h3>\n<p><span style=\"font-weight: 400\">The data you\u2019ve collected from multiple sources is quite messy and requires to be cleaned up properly. <\/span><\/p>\n<p><span style=\"font-weight: 400\">You need to convert the raw data into meaningful information which requires the data to be in a structured format.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Therefore, as a Data Scientist you\u2019re required to have the capability to work with unstructured data and find out the valuable insights out of them.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400\">9. Software Engineering<\/span><\/h3>\n<p><span style=\"font-weight: 400\">In order to become a Data Scientist, you need to be highly educated. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Researchers say that 88% have at least a Master\u2019s degree and 46% have PhDs- Though there are various exceptions.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">The areas of studies are Maths and Statistics, Computer Science, and Engineering. <\/span><\/p>\n<p><span style=\"font-weight: 400\">Completing courses in these fields will provide you with the skills necessary to process and analyze the data.\u00a0<\/span><\/p>\n<h3><span style=\"font-weight: 400\">10. Business Acumen<\/span><\/h3>\n<p><span style=\"font-weight: 400\">To become a Data Scientist, it is essential for you to have a thorough knowledge of the business industry in which you\u2019re working.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">You must be able to identify problems which need immediate attention and find out innovative ways to solve them.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">To put all your efforts into the right direction, it is important for you to know how business operates and all the problems that it faces. <\/span><\/p>\n<p><span style=\"font-weight: 400\">You must also be able to find out the new ways of leveraging your data.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Technically, understanding the business background will help you in maximizing efficiency, minimizing costs, and grabbing new opportunities.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">In brief, having proper business knowledge will help you generate more effective analysis.<\/span><\/p>\n<h2><span style=\"font-weight: 400\">Conclusion<\/span><\/h2>\n<p><strong>It&#8217;s time to turn your Data Science dream into a reality. <\/strong><\/p>\n<p><span style=\"font-weight: 400\">These are some of the essential skills you need to possess in order to get a Data Science job.<\/span><\/p>\n<p><span style=\"font-weight: 400\">Apart from these technical skills, there are some non-technical skills also such as communication, teamwork and intellectual curiosity which is also essential for a Data Scientist.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Having a combination of all these skills will make a Data Scientist capable of performing his\/her duties and responsibilities in an efficient manner.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Data Science \u2013 The sexiest job of the 21st century Data Science is one of the hottest career options these days and the demand for Data Scientists is continuously growing especially in the IT&#46;&#46;&#46;<\/p>\n","protected":false},"author":6722,"featured_media":152,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[104],"tags":[154,152,153,155,151,141],"class_list":["post-151","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","tag-data-science-skills","tag-data-scientists-skills","tag-most-in-demand-data-scientists-skill","tag-skills-for-data-science-job","tag-skills-for-data-scientists","tag-technology"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>10 Skills that will take you Closer to your Data Science Dream - DataFlair<\/title>\n<meta name=\"description\" content=\"Check out the must have technical skills to become Data Scientist in 2021. Possessing these skills will give you your dream Data Science job.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/news\/10-skills-that-will-take-you-closer-to-your-data-science-dream\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"10 Skills that will take you Closer to your Data Science Dream - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Check out the must have technical skills to become Data Scientist in 2021. 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