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What does it_takes_to_be_a_good_data_scientist_2019_aim_simplilearn

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What Does It Take To Be A Good Data Scientist?
By AIM & Simplilearn 1
By Analytics India Magazine & Simplilearn
WHAT DOES ...
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Executive summary
About the study
What kind of work does a Data Scientist work on?
13 How will ...
What Does It Take To Be A Good Data Scientist?
By AIM & Simplilearn 5
EXECUTIVE
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Over the years, the term ‘data
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Over the years, the term ‘data scientist’ has evolved greatly. From describing a person who handles data, to a professional who leverages machine learning — this definition has seen a great deal of change. Now, circa 2019, there are numerous blogs, Reddit pages and Quora threads dedicated to the discussion about “how to become a good data scientist”.

Over the years, the term ‘data scientist’ has evolved greatly. From describing a person who handles data, to a professional who leverages machine learning — this definition has seen a great deal of change. Now, circa 2019, there are numerous blogs, Reddit pages and Quora threads dedicated to the discussion about “how to become a good data scientist”.

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  1. 1. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 1 By Analytics India Magazine & Simplilearn WHAT DOES IT TAKE TO BE A GOOD DATA SCIENTIST?
  2. 2. TABLE OF CONTENTS 05 07 11 Executive summary About the study What kind of work does a Data Scientist work on? 13 How will you reach your goal of getting job in Data Science 15 Upskilling 17 Self study 19 Networking with industry insiders 21 Showcasing skills 23 How to appy for Data Scientist jobs 09 Foreword
  3. 3. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 5 EXECUTIVE SUMMARY Over the years, the term ‘data scientist’ has evolved greatly. From describing a person who handles data, to a professional who leverages machine learning — this definition has seen a great deal of change. Now, circa 2019, there are numerous blogs, Reddit pages and Quora threads dedicated to the discussion about “how to become a good data scientist”. The spectrum of data scientist roles and the myriad of duties he/she has to perform is so broad, that it is very difficult to capture it under one single definition. Now, the data science sector is flourishing to such an extent that our earlier jobs study revealed that there are currently more than 97,000 job openings for analytics and data science in India right now. It is true that the “hottest job of the 21st century” has all the buzz, glam and traffic, but many enthusiasts are still confused as to what this job entitles. Fewer still, understand, what it takes to be a data scientist. Is it about the skill set? Is it about the education? Is it about the company you work for? Or is it all of the above? DATA SCIENCE DEFINITIONS IN VARIOUS DICTIONARIES “A person employed to analyse and interpret complex digital data, such as the usage statistics of a website, especially in order to assist a business in its decision-making.” “Data scientist is someone who can bridge the raw data and the analysis – and make it accessible. It’s a democratising role; by bringing the data to the people, you make the world just a little bit better.” Data scientists are a new breed of analytical data expert who have the technical skills to solve complex problems – and the curiosity to explore what problems need to be solved. Data scientists are professionals who are well-rounded, data-driven individuals with high-level technical skills. They are capable of building complex quantitative algorithms to organise and synthesise large amounts of information used to answer questions and drive strategy in their organisations. -OXFORD DICTIONARY -SIMON ROGERS -SAS -BERKELEY SCHOOL OF INFORMATION
  4. 4. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 7 ABOUT THE STUDY This study was conducted in association with Simplilearn. The data for this study was collected by asking respondents to fill in a survey created by Analytics India Magazine about the popular beliefs around what it takes to be a good data scientist. This included various sub-topics such as upskilling, employment, skill set, and industry trends, among others. We took opinions from all those who practice data science — from professionals with less than two years of experience to CXOs — to get a thorough idea of the working environment in this growing field. Our survey was met with much enthusiasm — and we got some great insights from it. Some of them were expected, and many of them were real eye-openers.
  5. 5. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 9 FOREWORD In the past, data did not play a critical role in shaping an organization’s future, like it does today. The advent of big data is bringing about a transformation at the very core of the business process. With the right insights, data scientists have the potential to completely transform an organization’s growth trajectory. Reports suggest that the global volume of data is set to grow from 33 zettabytes in 2018 to 175 by 2025. The study also speculates that in 2025, each connected per- son will have at least one data interaction every 18 seconds. This data, which constitutes both structured and unstructured data will need to be stored, processed, and analyzed in order for it to deliver its complete value. This throws up a huge opportunity for data scientists; making data science a lucrative career option. As per a report by a job search website, postings for data science jobs on the website have grown by a whopping 344% as compared to five years earlier. Also, the number grew 29% year-over-year as of December 2018. Data science is hardly a monolithic field. Data scientists are often involved in various aspects of the process right from data collection to analysis to recommendations. So, the skills required are likely to be diverse too. For profession- als who are keen to become data scientists, the question that then arises is, what does it take to build a successful career in data science? What makes a good data scientist? There isn’t necessarily a straightforward answer because the field is vast and rapidly evolving. The skillset required is fairly diverse. Of course, the right technical skills are important. Data scientists are generally expected to have a degree in computer science and be conversant with programming languages such as Hadoop, Python, and Java. Apart from programming, the ability to learn quickly, adapt to changes, communicate clearly, and understand the big picture are equally crucial. Also, while the technologies will evolve over time and data analysis techniques might change, the ability to think critically will always be in demand. Domain expertise is also important especially when it comes to asking the right questions and understanding the right problems to be solved. In addition, a certain amount of business acumen is much needed. This study will shed more light on the roles and responsibili- ties of data scientists today. At the same time, it will talk about the current state of the industry in terms of the jobs available, the industry’s hierarchy model, and the recommended path for upskilling. Basically, the report is intended to provide some useful insights on the qualities that an ideal data scientist should encompass. We trust that readers will find the report interesting and useful. - Krishna Kumar, CEO, Simplilearn
  6. 6. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 11 DATA SCIENCE SKILL SET In an interaction with Analytics India Magazine, Dr Krishnan Ramaswami, Head of Data Science at Tesco, listed out the ideal skills required in a successful data scientist. 1. Mathematical & statistical knowledge 2. Good knowledge of machine learning algorithms 3. Awareness on programming languages like Python and R which are more tuned for data science 4. Handling large datasets 5. Domain knowledge 6. Problem-solving ability Dr Ramaswami also emphasised on hands-on experiences. He said, “Participation in any machine learning competitions would be an added advantage as they serve as additional validation of their skills. Experience of developing any real-life problems either during their course work or exposures through projects is also beneficial.” In this study, Analytics India Magazine, in association with Simplilearn, is taking a deeper look at what steps data science professionals take to kick-start and further themselves in their careers.
  7. 7. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 13 0 All of the above 20% 40% Business Interaction Database Engineering Coding Visualisation Modelling PERCENTAGE DISTRIBUTION OF THE KIND OF WORK THAT DATA SCIENTISTS PREFER TO WORK ON WHAT KIND OF WORK DOES A DATA SCIENTIST WANT TO WORK ON? This question is of key importance to almost all data scientists, because as this is a nascent field, there are still some grey areas about the definitions. That is why, the first question we asked during our exhaustive survey was about the kind of work the data scientists preferred to do. • A large chunk of 36.9% of respondents said that they would ideally like to do more of modeling • 34% of the respondents said that they would also like to do business interaction and draw business insights • However, 55.3% of the respondents said that they were interested in all of the aspects in data science — modelling, data visualisation, coding, database engineering and business interaction
  8. 8. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 15 0 20% 40% All of the above Showcase skills Network Update skillset PERCENTAGE DISTRIBUTION OF THE KIND OF WORK THAT DATA SCIENTISTS PREFER TO WORK ON HOW WILL YOU REACH YOUR GOAL OF GETTING A JOB IN DATA SCIENCE? As mentioned earlier, the demand for data science across the industries is real. Over the past few years, the domain has been experiencing a rapid rise in jobs across the world and India is one such country that is experiencing a data explosion. However, there is also a disparity between the number of jobs available and the number of applicants. Data science aspirants say that getting a job is difficult, and noted enterprises com- plain that the biggest problem they face is of talent crunch — especially in data science. But why is that? That’s why, when we asked about what was the best way to get ahead in their career, we got very interesting responses. • 41.7% respondents said that they would like to update their skillsets • And 24.3% of the respondents said that networking more with industry insiders was the way to move ahead in their careers
  9. 9. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 17 19% Take a break, study full time PERCENTAGE DISTRIBUTION OF HOW DATA SCIENCE PROFESSIONALS PREFER TO UPSKILL THEMSELVES 48% Self study 33% Online courses UPSKILLING Most companies and business leaders are posed with the question of how to build capabilities in an organisation so that they can ride the wave of digital transformation. Companies are desperately looking for people with skillsets that meets the need of the growing technological demands. When we asked our respondents what was their preferred choice of upskilling, the results were interesting. • Over 33% of our respondents said that they would prefer to register for an online course • 19% of the respondents said that they would like to take a break from their current work or study schedule and pursue data science as full-time education. • About 48% of the respondents said that they would like to study on their own, with the help of MOOCs and other free resources.
  10. 10. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 19 0 Sponsored course 25% 50% Learn from others MOOCs Books YouTube PERCENTAGE DISTRIBUTION OF THE KIND OF SELF-STUDY THAT RESPONDENTS LIKE TO PREFER SELF STUDY In this competitive day and age, enterprises are focussing on not just looking for candidates trained in a single skill but an individual who knows a cluster of skills which will be relevant for more number of years. Some of the skills that are currently picking up are: • Automation • RPA • Robotics • Cybersecurity • Artificial intelligence • IoT • Connected devices • FinTech • Blockchain Our respondents had numerous options when it came to self-study. • For instance, 67% of our respondents preferred to take free online courses in data science • Over 62% of our respondents preferred to watch YouTube videos and tutorials to learn more • And almost 44% relied on books
  11. 11. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 21 0 Social media 20% 40% Online groups Webinars LinkedIn Meetups Conferences PERCENTAGE DISTRIBUTION OF HOW DATA SCIENTISTS LIKE TO NETWORK WITH INDUSTRY INSIDERS NETWORKING WITH INDUSTRY INSIDERS Building social capital by engaging in social groups is a crucial aspect of strategising career success. Networking helps in accomplishing contacts that can be helpful in getting recommendations, and in turn, better job opportunities. Data scientists’ career also hinges on making meaningful contacts and creating lasting bonds with interesting and influential people. There are many avenues for the same, but our respondents had interesting insights regarding this: • 68% of our respondents said that professional so- cial media portal LinkedIn was their choice of tool to start networking in this ever-growing profession • Over 62% of our respondents said that attending conferences with interesting subject & like-minded people was immensely helpful in their careers • Blogs and social media were endorsed by 55% of our respondents • And meetups was another helpful avenue for 54% of the participants
  12. 12. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 23 0 Blogs 25% 50% Events Github Hacakthons PERCENTAGE DISTRIBUTION OF HOW DATA SCIENTISTS LIKE TO NETWORK WITH INDUSTRY INSIDERS SHOWCASING SKILLS For a data scientist, showcasing his/her abilities in coding and other software capabilities is crucial. An important part of data science is to stay relevant in the industry by showcasing your interest, expertise and unique opinion in all as many relevant subjects as possible. Our participants had interesting insights regarding this. • 63% of our respondents said that the best way to showcase skills would be through hackathons • 59% said that keeping their Github page updated and active was the way to go • And over 53% of the re- spondents said that blogging about their experiences and best practices was the key to update the community and stay connected with them
  13. 13. What Does It Take To Be A Good Data Scientist? By AIM & Simplilearn 25 BEST WAYS TO APPLY FOR DATA SCIENCE JOBS EDUCATION CITY 50% Bengaluru 20.2% Delhi NCR 7.1% Hyderabad 9.6% Mumbai 12.5% 0.6% 48.5% Post graduation 45.6% Graduation 5.9% 14.4% Move laterally 12.5% Recruitement Consultants 15.4% Social media 11.5% Ears to the ground via friends/ colleagues WORK EXPERIENCE 19.2% Student 9.6% 15+ years 3.6% 10-15 years 9% 5-10 years 16.3% 2-5 years 42.3% 0-2 years HOW TO APPLY FOR DATA SCIENCE JOBS As tools and techniques in data science are evolving, jobs in this sector are maturing and gaining more and more prominence. The number of openings that companies have for data science roles is also on an all-time high. That is why, it makes a huge difference as to what company you’re applying to, and what avenue you’re using to approach it. • Almost 46% of our respondents said that they apply for job openings through job portals like Naukri, Monster, Shine, etc. among others. • 16% of the respondents said that they preferred connecting to companies via social media • 15% of the participants said that they also were in touch with recruitment consultants for jobs Pune Kolkata Others
  14. 14. © 2019 Analytics India Magazine Pvt Ltd and/or its affiliates. All rights reserved. Images or text from this publication may not be reproduced or distributed in any form without prior written permission from Analytics India Magazine. The information contained in this publication has been obtained from sources believed to be reliable. Analytics India Magazine disclaims all warranties as to the accuracy, completeness or adequacy of such information and shall have no liability for errors, omissions or inadequacies in such information. This publication consists of the opinions of Analytics India Magazine and should not be construed as statements of fact. The opinions expressed herein are subject to change without notice.
  15. 15. CONTACT US ANALYTICS INDIA MAGAZINE #280 , 2nd floor, 5th Main, 15 A cross, Sector 6 , HSR layout Bengaluru, Karnataka 560102 SIMPLILEARN NALANDA, 53/1 C, Manoj Arcade, 24th Main Road, Sector 2, HSR Layout Bengaluru, Karnataka 560102

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