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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home2/magnimin/public_html/magnimind_academy/wp-includes/functions.php on line 6114Today, data science is influencing almost every sector, from government operations to sales and marketing to product development. Data science professionals<\/strong><\/em><\/a> are emerging exponentially as the major players within organizations and businesses across the globe. It\u2019s the number one most promising job in the U.S. for 2019 as revealed by a report from LinkedIn.<\/span> And this isn\u2019t a surprise anymore as data scientist topped the \u201cBest Jobs in America\u201d<\/strong> list of Glassdoor for the past three years with professionals experiencing high salary<\/strong>, high job satisfaction, and high demand. When it comes to compensation, data scientists earn a median base salary of $130,000.<\/span><\/p>\n With all these in mind, it can be concluded that if you\u2019re not satisfied with your income<\/strong> or present job role, learning immersive data science<\/strong> would be your best bet to change the scenario drastically.<\/p>\n <\/p>\n You may wonder why data scientists get to earn such a high salary<\/strong>. First of all, these people are extremely difficult to find, given the combination of skills and knowledge necessary to perform data science tasks well.<\/p>\n The key reason is probably that proper data science involves three different fields of expertise. A data scientist<\/strong> blends programming skills, math, and statistics<\/strong> <\/em><\/a>expertise and domain knowledge (the industry they operate in). After all, looking at data from different angles for using it in prescriptive and predictive modeling is the backbone of any business that deals with data. If they fail to do it right, all the data collection and presentation would be meaningless for them. In short, data science is difficult and thus, richly rewarded.<\/p>\n <\/p>\n Let\u2019s have a look at the benefits, apart from high salary<\/strong>, which you\u2019ll be able to enjoy as a data scientist after completing an immersive data science course<\/strong><\/em><\/a>.<\/p>\n <\/p>\n A large percentage of data science is about researching human behavior. Whether you\u2019re working on predicting stock prices or creating a chatbot or understanding the online user experience, it\u2019s mostly about how humans think and act. This unique approach of understanding and researching should motivate you enough to keep going.<\/p>\n <\/p>\n Businesses are looking for experienced data scientists desperately and are ready to offer an even more high salary <\/strong>than what\u2019s on offer at present. This scenario will probably change in the future, but will not happen in the near one if you consider the current formal education necessary to pursue data science.<\/p>\n So, if you learn immersive data science<\/strong> now and get a job as a data scientist, in the future, say after 5-10 years from now, you\u2019ll be an experienced data scientist who\u2019ll be in great demand.<\/p>\n <\/p>\n Nearly every business needs data scientists to excel in its field. From the online world to production companies to biology to renewable energies to information technology, you\u2019ll get to enjoy a lot of horizontal mobility in the field of data science.<\/p>\n <\/p>\n You\u2019ve to learn how to code in order to learn immersive data science<\/strong>. And when you know how to code, you\u2019ll be able to develop your own products, or the prototypes at the least. In short, a good understanding of coding will open a new world for you. If you won\u2019t actually develop your own products, you\u2019ll become a good data scientist for sure.<\/p>\n <\/p>\n Hopefully by now, you\u2019re convinced enough and have made up your mind to learn immersive data science<\/strong> to take your income<\/strong> to the next level. Before you start your journey, it\u2019s crucial to get a good understanding of the specific competencies and skills employers generally look for before they offer you such a high salary<\/strong>. Let\u2019s have a look at the typical job responsibilities of a data scientist.<\/p>\n <\/p>\n When it comes to data scientists, there\u2019s a huge gap between the demand and availability of competent ones. One key reason for this shortage is probably because many businesses are looking for people who can bring an array of high-end skills to the table. In short, almost any business, regardless of the industry it\u2019s operating in, can get excellent benefits by hiring data scientists, which makes the demand exponentially high.<\/span><\/p>\n <\/p>\n We\u2019ve already discussed the probable job responsibilities of a data scientist. Perhaps you are already aware of the skills necessary to become a member of that high-income group<\/strong>. If not having the requisite degree is what\u2019s holding you back from switching your career and stepping into the field of data science, there\u2019s still hope for you.<\/p>\n You can still get your dream job quickly enough with some smart decisions, proper planning, and complete dedication. There\u2019re some great data science boot camps that offer immersive data science courses<\/strong> <\/span><\/em><\/a>designed to help you gain practical knowledge that\u2019s necessary for working in the field.<\/span> These boot camps are generally aimed at students who hold a bachelor\u2019s degree and come with an aptitude for math and statistics. Knowledge of a programming language like Python<\/strong><\/em><\/a> or R is considered a plus. However, some schools require students to have master\u2019s degrees or Ph.D. degrees before taking these courses.<\/p>\n <\/p>\n1- Why data scientists get paid so much?<\/em><\/strong><\/h3>\n
2- Why you should become a data scientist?<\/em><\/strong><\/h3>\n
2.2- You\u2019ll be working on interesting and useful things<\/em><\/h4>\n
2.2- It\u2019ll be actually easy to find a higher paying job<\/em><\/h4>\n
2.3- You\u2019ll be able to work across industries<\/em><\/h4>\n
2.4- You\u2019ll be able to develop your own product<\/em><\/h4>\n
3- Key things to remember<\/em><\/strong><\/h3>\n
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4- Key reason behind the paucity<\/em><\/strong><\/h3>\n
5- Getting that high salary job<\/em><\/strong><\/h3>\n
5.1- What\u2019s in a boot camp?<\/em><\/h4>\n