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How to become a Data Scientists

How to become a Data Scientist is one of the most common questions amongst all of you in this growing 21 st century. Learning data science, as a part of knowledge in today’s World, can hardly be avoided. The major reason behind this is that, there will be a constant stream of analytic talent which will be required in all industries, where companies collect and use data for their competitive advantages. Data science is mainly an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Data science is related to data mining, deep learning and big data. It uses techniques and theories drawn from many fields within the context of mathematics, statistics, calculus, computer science, domain knowledge and information science. In order to become a data scientist, there is a significant amount of education and experience required by any of you.The first step towards this is to earn a bachelor degree (typically in a quantitative field).

Then you can do a master degree or a PhD (in a quantitative or may be scientific field). These qualifications and proper learning can make you, no doubt, a proper data scientist. Specializations and associated careers after learning data science can be Machine Learning Scientist, Data Engineer, Data Analyst, Data Consultant, Data Architect, Applications Architect, etc. Simply it can be said that scopes regarding career, are many in this field and you don’t have to take tension regarding future or self establishment. But the main idea to achieve success in any field is your fully devoted interest and love for the subject. This will help you to learn more and more which is a grand step. Coming back to an over-simplified description, as you know all, a data scientist is a professional who can work with a large amount of data and extract analytical insights. They communicate their findings to the stakeholders. Thus, companies can benefit from making the best-informed decisions to drive their business growth and profitability. No doubt, it is not so easy, but following it step by step can make it an easiest and a simplest task.

How to Become a Data Scientist with

Online Education

How to Become a Data Scientist with Online Education is the next question that rises in many of your enthusiastic and energetic mind, especially in such a pandemic, a hectic situation. But do you know from the beginning only, one major way to answer how to become a Data Scientist is to obtain data science education is Massive Open Online Courses (MOOC). It facilitates students with flexible times through which time management becomes easy. In addition to that, it also minimizes the investment cost thus making it easier to learn and flourish in such a field. An increasing amount of careers are started with online learning, and data science is no exception. With working from home becoming more popular as well, accreditation or experience from online means has been regarded more, with new reputable avenues of achieving online learning success.


In today’s high-tech world, everyone has pressing questions that must be answered by “big data”. From businesses to non-profit organizations to government institutions, there is a seemingly-infinite amount of information that can be sorted, interpreted, and applied for a wide range of purposes. These all comes down to data scientists. Because there is simply too much information for the average person to process and use.So, data scientists are trained to gather, organize, and analyze data, helping people from every corner of industry and every segment of the population in each part of this World.


9 Must have skills you need to become a Data Scientist


9 Must have skills you need to become a Data Scientist regarding how to become a Data Scientist are as follows:


Proper high education and developing it more through self practices, building an app, starting a blog, exploring data analysis, etc.

Having the knowledge of wide spreaded programming language R.

Along with Java, Perl, C, C++ or Julia, learning the Python Coding and implementing it properly is highly needed.

Learning Hadoop (an open-source software framework) so that situations like accomodating large volume of data in a comparatively small memory containing system, sending data to different servers, etc can be handled.

Knowing SQL Database, boosting knowledge in Database Management and Coding is also a necessary step.

Having proper depths about Apache Spark which is the most popular big data technology Worldwide.

Learning properly the fields like Machine Learning and Artificial Intelligence with appropriate skills that can be implemented in practical World.

Skills to be able to visualize data with the aid of data visualization tools such as ggplot, d3.js and Matplottlib, and Tableau.

Ways of working with unstructured data to unravel insights that can be useful for decision making. Also the respective non-technical skills required too are

Intellectual Curiosity, Business acumen, Communication, Teamwork, etc.

Above all, learning data science is not so easy but not so tough. Yes, there are limitations too in this field like any other. But accepting both pros and cons it can be concluded that future without Data Science is impossible and so learning this as a part of proper knowledge and education for willing learners like you, can not only give you a settled career but also a confirmed respect by each and every individual in this society.


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