When it comes to the methods of entering this field, people often raise questions like \u201cwhat should I do to become a data science<\/strong> professional? Or \u201cI should probably get a Master\u2019s to enter machine learning<\/strong><\/em><\/a>, right?\u201d Probably not! The steadily rising cost of traditional higher education, skyrocketing demand, and the web are disrupting the traditional path of becoming a data science<\/strong> or a machine learning<\/strong> professional. Of course, there\u2019re self-taught professionals in both of these fields, but they\u2019re rare to find.<\/p>\n When it comes to stepping into the fields of data science<\/strong><\/em><\/a> and machine learning<\/strong>, two most popular and viable alternatives to traditional learning have emerged \u2013 self-learning through MOOCs (Massive Open Online Courses) and data science<\/strong> and machine learning<\/strong> bootcamps.<\/p>\n When it comes to MOOCs, you can get access to courses at a surprisingly low cost but there you\u2019ve to identify a set of tools and courses to develop a skillset. On the other hand, data science<\/strong> and machine learning<\/strong> bootcamps offer a platform where participants can get a structured learning environment at a much more affordable rate compared to traditional ways.<\/span><\/p>\n So, what would be the ideal way to learn data science<\/strong> and machine learning<\/strong>? Here we\u2019ve put together major benefits of bootcamps<\/strong> organized in this field. But before we delve deeper, here\u2019s something you should know.<\/p>\n The<\/em> objective and the biggest benefit of bootcamps<\/strong> is they make you job-ready. However, that doesn\u2019t mean that you\u2019ll become a master in this field in just a couple of weeks. In fact, the learning begins once you become a graduate. Once you\u2019ve got a solid understanding of the essentials of data science<\/strong> and machine learning<\/strong>, it\u2019s your responsibility to start the continuous journey of learning, practicing and developing your portfolio.<\/p>\n First<\/em> of all, there\u2019re lots of aspiring professionals who consider such a bootcamp as a golden ticket to getting a job in the field, which isn\u2019t true. In reality, they provide you with enough baseline knowledge and help to gain proficiency in industry-relevant data-related techniques and tools. Also, the curriculum may not be exactly the same in every data science<\/strong> and machine learning<\/strong> bootcamp, it can vary based on the type of the bootcamp.<\/span><\/p>\n However, when it comes to the benefits\u00a0of bootcamps<\/strong>, almost every good one with a proven track record can give you the followings.<\/p>\n Almost<\/em> in every data science<\/strong> and machine learning<\/strong> bootcamp, the program curriculum is designed in line with current industry trends. Therefore, the skills you\u2019re being taught and the tools you get to use are currently in demand within the industry.<\/p>\n It helps you to learn what the industry is presently looking for, so you can put your best effort into mastering them. In addition, a large percentage of projects you work on during the program are based on real-life aspects. This experience helps you tremendously when you get a job as a data science<\/strong> or machine learning professional<\/em><\/strong><\/a>.<\/p>\n You<\/em> may have already heard that becoming a data science<\/strong> or machine learning<\/strong> professional isn\u2019t easy. You\u2019ve to stay motivated throughout your journey to become successful. Sometimes, lack of motivation is the biggest reason why some aspirants leave programs midway, despite investing a significant amount of money and time.<\/p>\n As a fact, everyone comes with different learning styles and that\u2019s why sometimes the traditional route doesn\u2019t work for some people while a bootcamp does the trick for them. The reason is when you\u2019re attending a data science<\/strong> and machine learning<\/strong> bootcamp, you\u2019re surrounded by people who\u2019re passionate about the field just like you.<\/span> During the entire program, you get to do a lot of things collaboratively. From discussing concepts and doing projects to learning from others and helping others understand something difficult \u2013 everything helps greatly in maintaining your motivation toward accomplishing your goal and that\u2019s probably the biggest benefit of bootcamps<\/strong>.<\/p>\n As<\/em> data science<\/strong> and machine learning<\/strong> bootcamps are much shorter compared to traditional courses, they\u2019re fast-paced in nature and you need to absorb more teaching in a limited period of time. Bootcamp organizers like Magnimind Academy<\/strong> <\/em><\/a>emphasize on designing these programs to help participants master the skills essential for data science<\/strong> and machine learning<\/strong> in a pre-professional setting, surrounded by highly-motivated peers. This can be the biggest benefit of bootcamps<\/strong> to those looking to engross the necessary high-end skills in a fast-paced manner and learning by doing.<\/p>\n In general, the maximum amount of benefit of bootcamps<\/strong> is gained by participants with some knowledge in coding, mathematics, and statistics. If you\u2019re an absolute novice to these or are coming from a completely different background, joining a data science<\/strong> and machine learning<\/strong> bootcamp straight away may not be of much advantage to you. In that case, it\u2019s advisable to do a preparatory course before making the big leap. For example, Magnimind<\/strong> <\/em><\/a>offers a data science prep course<\/em><\/strong><\/a> that helps aspirants master the fundamentals before enrolling a data science<\/strong> and machine learning<\/strong> bootcamp.<\/p>\n <\/p>\n One<\/em> of the biggest benefits of bootcamps<\/strong> over traditional college setting is the high affordability they offer. If you strictly look at the cost aspect, you can join a data science<\/strong> and machine learning<\/strong> bootcamp at one-third cost of a Master\u2019s program.<\/p>\n In addition, bootcamps offered by institutes like Magnimind<\/em> not only come at a substantially lesser cost but help you save a lot of your valuable time.<\/span> By successfully completing their 6-week data science<\/strong> bootcamp, students can start earning money as a data science<\/strong> professional much sooner than a traditional education setting.<\/p>\n To<\/em> make most out of a data science<\/strong> and machine learning<\/strong> bootcamp, you\u2019ve to consider some major factors before getting enrolled with it. Let\u2019s go through them.<\/p>\n A<\/em> data science<\/strong> and machine learning<\/strong> bootcamp with 100% placement rate may not be the best choice always. Sometimes bootcamps may not include the participants who they seem may not be able to get a job and don\u2019t consider them in the placement rate.<\/p>\n As a prospective student you need to dig deeper and try to know things like \u2013 percent of participants in proper data science<\/strong> or machine learning<\/strong> roles, percent of participants actually trying to get a job post bootcamp, the salary range for participants placed, median salaries for participants place, among others.<\/p>\n This<\/em> can be the major factor in deciding whether to attend a data science<\/strong> or machine learning<\/strong> bootcamp. In general, fees of these bootcamps range from free to $16,000, apart from other incidental costs.<\/p>\n If you\u2019re determined to step into the field, you can consider this cost as a short-term investment for getting a chance to break into an exciting career. And don\u2019t forget to assess your return on investment, which is the multitude of benefits of bootcamps<\/strong>.<\/p>\n Put<\/em> simply, it\u2019s hardly possible to learn everything you need to become a full-fledged data science<\/strong> or machine learning<\/strong> professional in just 6 or 12 weeks.<\/span> You want to pursue a program that\u2019ll give you enough depth and breadth together with a solid foundation to start and develop a career in the field.<\/p>\n So, go through the entire program curriculum carefully, regardless of the bootcamp you\u2019re planning for. If you don\u2019t have a clear idea what forms an effective curriculum, just do some research online and you\u2019ll likely get it.<\/p>\n You<\/em> should focus on bootcamps that\u2019ll let you work on different types of projects with a variety of datasets in terms of volume. This\u2019ll help you get a broad range of experience and to develop a portfolio of interesting projects to talk about once you reach the interview room.<\/p>\n This<\/em> is something really important to look out for. Check out if the program provider arranges something like this. Hiring day is an event where participants get an opportunity to demonstrate their capstone project to prospective employers. Some data science<\/strong> and machine learning<\/strong> bootcamp organizers also come up with exclusive hiring events with a number of employers.<\/p>\n Data science<\/strong> <\/em>and machine learning<\/strong> come with it their own sets of advantages and will let you learn a lot. Considering the above benefit<\/strong>s of bootcamps<\/strong>, it can be said that they\u2019re something you can always aim for. Just a word of advice, you shouldn\u2019t rely on bootcamps completely, instead, you should put your best effort to develop a coveted resume and take your career to the next level.<\/p>\n1- What exactly can a data science and machine learning bootcamp do for you?<\/em><\/strong><\/h3>\n
![\"What](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/What-exactly-can-a-data-science-and-machine-learning-bootcamp-do-for-you.jpg\")
<\/p>\n2- The value a data science and machine learning bootcamp delivers<\/em><\/strong><\/h3>\n
![\"The](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/The-value-a-data-science-and-machine-learning-bootcamp-delivers-300x150.jpg\")
<\/p>\n2.1- You get to learn industry-relevant skills<\/em><\/h4>\n
![\"You](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/You-get-to-learn-industry-relevant-skills-data-science.jpg\")
<\/p>\n2.2- You get the motivation<\/em><\/h4>\n
![\"You](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/You-get-the-motivation-data-science.jpg\")
<\/p>\n2.3- A different learning environment<\/em><\/h4>\n
![\"A](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/A-different-learning-environment-data-science.jpg\")
<\/p>\n2.4- Affordable cost<\/em><\/h4>\n
![\"Affordable](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/cost-data-science-bootcamp-300x225.png\")
<\/p>\n3- Planning to attend a data science and machine learning bootcamp? Keep these things in mind<\/em><\/strong><\/h3>\n
![\"Planning](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Planning-to-attend-a-data-science-and-machine-learning-bootcamp-Keep-these-things-in-mind-300x200.jpg\")
<\/p>\n3.1- Placement rate<\/em><\/h4>\n
![\"Placement](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Placement-rate-data-science.jpg\")
<\/p>\n3.2- Cost<\/em><\/h4>\n
![\"Cost](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Cost-data-science-1.jpg\")
<\/p>\n3.3- Curriculum<\/em><\/h4>\n
![\"Curriculum](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Curriculum-data-science.jpg\")
<\/p>\n3.4- Projects<\/em><\/h4>\n
![\"Projects](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Projects-data-science-300x99.jpg\")
<\/p>\n3.5- Hiring day<\/em><\/h4>\n
![\"Hiring](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/Hiring-day-data-science-300x168.jpg\")
<\/p>\nIn conclusion<\/em><\/strong><\/h3>\n
![\"conclusion\"](\"https:\/\/academy.magnimindacademy.com\/wp-content\/uploads\/2019\/05\/conclusion-225x300.jpg\")
<\/p>\n