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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 6114Together<\/em> with the exponential rise in volume, variety, and velocity of data, the need for data scientists<\/strong> who\u2019re expert in analyzing, visualizing, and interpreting that data has increased as well. Taking advantage of the huge potential of big data requires specialized skills that make data scientists <\/strong><\/em><\/a>stay in high demand across industries. <\/span><\/p>\n However, demand has outpaced supply, leaving the tech world with an acute shortage of data scientists<\/strong>. Although lots of universities and schools are offering various degrees in data science, the paucity still continues. This lack of professionals has spawned the growth of a significant number of data bootcamps<\/strong><\/em><\/a>.<\/span> These data camps<\/strong> are designed specifically to help students land plum jobs as data scientists<\/strong>. Given that traditional data science training providers still aren\u2019t producing adequate talent to meet the requirements, data bootcamps<\/strong> are helpful for both organizations as well as participants.<\/p>\n If you want to get the 21st<\/sup> century\u2019s hottest job<\/strong><\/em><\/a> i.e. become a data scientist,<\/strong> but cannot take the traditional route, joining a data bootcamp<\/strong> would probably be your best bet. Let\u2019s have a look at why such bootcamps are favored so much.<\/p>\n <\/p>\n Before<\/em> we delve deeper into the reasons for joining a data camp<\/strong>, you should clearly understand that you must put your best foot forward to make the most out of these programs. Though data bootcamps<\/strong> are mainly judged by their placement numbers, it actually comes down to participants. Individuals who lose out are usually the students who don\u2019t do the program with due diligence. Let\u2019s see why attending a data bootcamp<\/strong> is considered a high-reward investment.<\/p>\n <\/p>\n When<\/em> you\u2019re attending a data camp<\/strong>, you eat, drink, walk, talk, sleep, and breathe subjects related to becoming a data scientist<\/strong> for months at a time. You become surrounded by a great learning environment and packed with curriculum while pushing all other distractions off the schedule.<\/span> With this highly intensive focus, you get to do a lot more in less time and learn new tools and technologies at a rate impossible otherwise. This is one of the biggest reasons why data bootcamps<\/strong> are considered extremely valuable.<\/p>\n <\/p>\n When<\/em> you join a data bootcamp<\/strong>, you\u2019re essentially surrounded by participants with the same goal as you \u2013 learn data science and become a data scientist<\/strong>.<\/span> You immediately set foot into the network of like-minded people with somewhat similar skillsets. This is crucial for your professional career, as you get the chance to develop a professional network organically to leverage opportunities. Of course, networking needs constant maintenance and you\u2019ll also have to extend your network outside of the program, but a data camp<\/strong><\/em><\/a> surely acts as a breeding ground for it.<\/p>\n <\/p>\n One<\/em> of the biggest benefits of attending a data bootcamp<\/strong> is accelerated learning through collaboration. From discussing concepts and understanding them from others to helping others understand them and discussing all things data \u2013 everything acts like a powerful tool.<\/p>\n Being able to pair with someone at the same level is a huge advantage, especially when it comes to learning something difficult like data science. The social learning environment offered by data camp<\/strong>s is almost next to impossible to find somewhere else.<\/p>\n <\/p>\n In<\/em> a data bootcamp<\/strong>, learning is more structured than conventional programs. These programs are carefully planned out to help participants develop industry-relevant skills. This learning method gives a clear and bigger view of the field and helps candidates to progress forward at a pace difficult to replicate somewhere else. The key objective of a data camp<\/strong> is that virtually none of the participants\u2019 study time is wasted by focusing on things they don\u2019t need.<\/span><\/p>\n <\/p>\n Another<\/em> great advantage of attending a data camp<\/strong> is that you get to work with data from day one through hands-on learning. This learning approach is more useful for lots of learners compared to the traditional model of learning data science.<\/p>\n <\/p>\n1- Key reasons to join a data bootcamp to become a data scientist<\/em><\/strong><\/h3>\n
1.1- Full immersion<\/em><\/h4>\n
1.2- Networking<\/em><\/h4>\n
1.3- Faster learning<\/em><\/h4>\n
1.4- Cohesive curriculum<\/em><\/h4>\n
1.5- Hands-on learning<\/em><\/h4>\n
1.6- Career counseling<\/em><\/h4>\n