The<\/em> data science spectrum has exponentially evolved over the last few years and today it\u2019s considered the backbone of a huge number of businesses across industries. More and more people are trying to step into this field observing the skyrocketing popularity of data science. As a result, lots of institutes have started offering different data science courses to make students ready for the field. But here\u2019s the biggest question \u2013 how would you figure out whether an institute is worth joining? In this post we\u2019re going to take a look at Magnimind Academy<\/a> \u2013 the premium data science institute headquartered in CA and some of the major reasons for which a huge number of students consider this their first preference.<\/p>\n

Key reasons to join Magnimind Academy<\/em><\/strong><\/h3>\n

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First<\/em> of all, data scientists need solid skills in programming, statistics, and computer science. Regardless of your major, you\u2019ve to focus on the courses that would help you develop a solid understanding of these. For instance, Python<\/strong> \u2013 the full-fledged programming language is a perfect fit when it comes to implementing algorithms. Almost every newer data scientist gravitates toward this language because of its simplicity and ease of use. It also offers a programming platform which comes with high compatibility with data science, machine learning, and many other emerging technologies. In short, Python<\/strong> won\u2019t let you bog down with complex programming requirements by allowing you perform tasks in a hassle-free manner. If you\u2019re new to this language, the Data Analysis with Python<\/em><\/a> mini bootcamp should be the perfect course for you while the Introduction to Python<\/em><\/a> mini bootcamp would be ideal for students who\u2019ve got some fundamental understanding of Python<\/strong>.<\/p>\n

Next<\/em> comes SQL<\/strong> or Structured Query Language which is considered to be one of the most sought-after skills in data science, together with Python<\/strong> and R. One of the key advantages of SQL<\/strong> is that when you\u2019re working with data, it\u2019s directly accessed and that speeds up workflow executions considerably. From a data science viewpoint, SQL<\/strong> can be used for both machine learning and data pre-processing purposes. If you\u2019re interested in obtaining more knowledge about the language, we\u2019d strongly suggest you to join the SQL for Data Science<\/em><\/a> mini bootcamp offered by Magnimind.<\/p>\n

Lastly<\/em> but perhaps the biggest reason of joining Magnimind is its offering of completely immersive training programs in form of bootcamps. They\u2019ve designed these training programs for students coming from a diverse range of technical backgrounds. To excel in their field, data scientists must need a variety of tricks and tools to process Big Data and their bootcamp is fully focused on the details. The concepts supporting various technologies are greatly explained by the instructors while allowing students to obtain valuable, hands-on experience. And when it comes to career preparation, Magnimind places a great emphasis on it, including job interviews and hiring fairs. And the best part is their data science bootcamp in Silicon Valley<\/strong> fully embodies the techno-meritocracy spirit of the technology hub, where anybody with a love of data science can hack his\/her way to competency.<\/p>\n