{"id":76515,"date":"2020-02-18T09:35:20","date_gmt":"2020-02-18T04:05:20","guid":{"rendered":"https:\/\/techvidvan.com\/tutorials\/?p=76515"},"modified":"2020-02-18T09:35:20","modified_gmt":"2020-02-18T04:05:20","slug":"how-to-become-a-data-scientist","status":"publish","type":"post","link":"https:\/\/techvidvan.com\/tutorials\/how-to-become-a-data-scientist\/","title":{"rendered":"How to Become A Data Scientist – The perfect road map"},"content":{"rendered":"

You must be wondering how to become a Data Scientist? What skills are required to become a Data Scientist?<\/p>\n

I know so many questions will be there in your mind. With this article, you will find all the answers.<\/p>\n

But first, let’s talk about the scope of Data Scientist in today’s world.<\/p>\n

Data Scientist is undoubtedly the hottest and the sexiest job of the 21st century<\/strong>.<\/p>\n

In today\u2019s era, an immeasurable amount of data is generating each and every second through our mobile phones, laptops, and many other devices all over the world.<\/p>\n

Every organization whether small or large, government or private are using Data Science in one or the other way.<\/p>\n

They have realized the importance of this huge amount of data and thus want to make the most out of it which can be done by a Data Scientist.<\/p>\n

Thus, most of the leading enterprises are welcoming Data Scientists from all over the world to extract<\/strong> some actionable insights from the data.<\/p>\n

To improve their business<\/strong> and are also paying handsome salaries<\/strong> to them.<\/p>\n

But this job requires a lot of skills and hard work.<\/p>\n

Before knowing how to become a Data Scientist you should know what skills you need to develop in yourself for becoming a Data Scientist.<\/p>\n

Let us have a quick overview of the different skills required to become a Data Scientist.<\/p>\n

Skills Required to Become Data Scientist\"data<\/a><\/h3>\n

1. Statistics<\/h4>\n

The most obvious task of a Data Scientist is to collect, analyze, and evaluate the data for obtaining meaningful insights from it.<\/p>\n

For this purpose, you need to have your hands-on Statistics.<\/p>\n

You should at least have a knowledge of the basic concepts such as linear regression<\/strong>, probability<\/strong>, etc.<\/p>\n

Also, you will have to select the right statistical approach based on your data to extract some meaningful inferences from it.<\/p>\n

You can also use different tools for this such as Hadoop<\/strong>, SAS<\/strong>, etc.<\/p>\n

2. Programming Skills<\/h4>\n

The main component of Data Science is data.<\/p>\n

For effective results, you will need to collect a large amount of data.<\/p>\n

Also, the data will not always be that easy to understand.<\/p>\n

Sometimes you have to manipulate the data according to your needs for easy interpretation and better results.<\/p>\n

Programming skills will help you with all these tasks.<\/p>\n

There are various programming languages that you can use but R<\/strong> and Python<\/strong> are considered to be the most compatible with Data Science.<\/p>\n

3. Machine Learning<\/h4>\n

You might have heard about Machine Learning.<\/p>\n

For applying Data Science, you should be familiar with the most commonly used supervised<\/strong> and unsupervised<\/strong> Machine Learning algorithms.<\/p>\n

Some of them are K-means clustering, K nearest neighbor, Decision tree, Naive Bayes classification, etc.<\/p>\n

This will help you in training different models for making useful predictions.<\/p>\n

4. Data Management<\/h4>\n

The term Data Science came into existence because of data.<\/p>\n

Therefore, for becoming a Data Scientist you must have the art to play with data.<\/p>\n

You should know how to collect data from various sources, how to organize it, how to store it, etc.<\/p>\n

After doing all these preprocessing you will be able to analyze it.<\/p>\n

There are many tools that you can use such as Spark<\/strong>, Snowflake<\/strong>, etc<\/strong>.<\/p>\n

5. Communication Skills<\/h4>\n

Along with good technical skills, you should also be good at communication<\/strong> because as a Data Scientist you will also need to present your findings and results to the stakeholders.<\/p>\n

The insights that you have extracted from the data will be of no use if you are not able to express it and make someone understand.<\/p>\n

You should be able to tell a story with your data so that it can be understood by everyone, including someone from a non-technical background.<\/p>\n

Now after knowing the qualities and skills required for Data Science, you can start your journey of becoming a Data Scientist.<\/p>\n

This how to become a Data Scientist article, will provide you a complete roadmap for reaching your destination to become a Data Scientist.<\/p>\n

How to Become A Data Scientist – Career Guide\"how<\/a><\/h2>\n

Many of us want to become a Data scientist but do not have the proper knowledge about the path they need to follow.<\/p>\n

The right guidance and information will help you to get a clear idea about what and how to do and start preparing.<\/p>\n

There are five basic steps that everyone should follow for becoming a Data Scientist.<\/p>\n

1. Earn a Bachelor\u2019s Degree<\/h3>\n

For building a career in any domain, the mandatory requirement is a College Education.<\/p>\n

You should at least have a four-year bachelor\u2019s degree<\/strong>.<\/p>\n

The best option is to have a degree in a Data Science field if possible because it will help you explore all the aspects of the field.<\/p>\n

Many universities are offering several Data Science courses.<\/p>\n

Otherwise, you can opt for some other degree programs such as Computer<\/strong> Science<\/strong>, Physics<\/strong>, Mathematics<\/strong>, Statistics<\/strong>, etc. which are related to the skills required for doing Data Science.<\/p>\n

The college education will help you to learn many new things that will help you further in becoming a Data Scientist.<\/p>\n

2. Earn Certificates<\/h3>\n

You can improve your skills and boost your confidence by earning various certificates.<\/p>\n

These certificates will enrich your skills and increase your value in the market.<\/p>\n

Several companies like Google<\/strong>, SAS<\/strong>, Microsoft<\/strong>, IBM<\/strong>, Cloudera<\/strong>, etc. which are working on Data Science offer various professional certificates.<\/p>\n

Some of the available certifications are:<\/p>\n

    \n
  • Certified Analytics Professional.<\/li>\n
  • Google Certified Professional Data Engineer.<\/li>\n
  • IBM Data Science Professional Certificate.<\/li>\n
  • SAS Certified Data Scientist.<\/li>\n
  • Cloudera Certified Professional: CPP Data Engineer.<\/li>\n<\/ul>\n

    3. Obtain an Entry-Level Job<\/h3>\n

    After pursuing your degree, you will acquire the initial skills for applying Data Science.<\/p>\n

    So now you can apply for an entry-level job.<\/p>\n

    Because of the increasing demand for Data Scientists, the companies are even hiring professionals for job titles such as Junior Data Scientists<\/strong>, Assistant Data Analyst, etc<\/strong>.<\/p>\n

    Starting your career with these jobs will help you to gain practical experience and it might be a milestone for your further career.<\/p>\n

    Grabbing these jobs will be easier for you if you have done any certifications or specializations during or after your education.<\/p>\n

    These certificates will help you a lot.<\/p>\n

    4. Earn a Master\u2019s Degree or Ph.D<\/h3>\n

    Pursuing a master\u2019s degree or Ph.D. in any field related to Data Science will add a plus point to your profile.<\/p>\n

    It will be like a cherry on the cake.<\/p>\n

    With the increasing demand, the career opportunities<\/strong> are also growing.<\/p>\n

    Having a master\u2019s degree will help you to stand out in the crowd and grab better opportunities in this era of competition.<\/p>\n

    5. Get Promoted<\/h3>\n

    Gaining experience and core knowledge<\/strong> of the field will help you to get promotions in your field.<\/p>\n

    Progress also happens when data scientists improve at the five core skills: abilities of problem formulation, technical ability, analytical ability, synthesis, and influence.<\/p>\n

    Working on different problems and live projects will help you to master Data Science and produce the best possible results for the organization.<\/p>\n

    6. Never Stop Learning<\/h3>\n

    In any profession, you can never stop learning because you need to keep yourself updated with the recent advances and changing dynamics of your job.<\/p>\n

    Continuous learning and hard work will make you stand in this highly demanded job.<\/p>\n

    Also, Data Science is an evolving field and the best solution to a problem can become just a good one anytime.<\/p>\n

    You need to continuously discover innovative<\/strong> ideas to prove your worth.<\/p>\n

    This will also help you to boost your confidence and become a better Data Scientist.<\/p>\n

    Summary<\/h2>\n

    This was all about TechVidvan’s how to become a Data Scientist article.<\/p>\n

    Data Science is a continuously growing field. It provides you with many comforts<\/strong> but demands a lot of hard work and skills.<\/p>\n

    In this article, we have seen the different skills that you must have for becoming a Data Scientist and how you can develop them. Following these steps will provide you the right direction.<\/p>\n

    In short, you can start your career by pursuing a four-year Bachelor\u2019s degree and then can also go for a master\u2019s.<\/p>\n

    Having some certificates or expertise in some areas will help you to grab better opportunities.<\/p>\n

    During your entire journey, you just need to develop the different skills required for becoming a good Data Scientist.<\/p>\n","protected":false},"excerpt":{"rendered":"

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