05 Dec 2020

is data science for me

You can take up online courses or even make use of free resources. Enrol yourself to some data science course, engage with the community, work on projects and once you are ready enough, make that move to land a job. So, lately, if you have been wondering about starting a career in data science you have to assure that your knowledge and skills with mathematics and statistics are top-grade. However, I know from personal experience that it’s really easy to get better at presenting by practicing. It’s not just the concepts, but one needs to have a 360 degree understanding of the entire domain which includes the tools and methods as well. If you are generally interested in seeing and analyzing the rational side of everything – and not just the emotional – that’s a good sign that you would enjoy data science. I’ve found that one can only work on a specific skill without losing motivation if she enjoys the process of learning and practicing. When he is not writing or making videos, you can find him reading books/blogs or watching videos that motivate him or teaches him new things. The prime reason why a data science department is there in an organisation is to solve different problems and these problems may come from a different domain. There are several ways to build up an efficient data team but by far the most common solution is to have a central data team and assign its members to other teams within the company (e.g. I want to change my career path into Data Science, Let me know which course is suitable for me and how its career chances in future, Reply. But is learning data science a … Data Science and Its Growing Importance – An interdisciplinary field, data science deals with processes and systems, that are used to extract knowledge or insights from large amounts of data. Again, with practice, you can improve all of them… The biggest question is if you want to. r/datascience: A place for data science practitioners and professionals to discuss and debate data science career questions. Therefore, industries need data science. Here’s what … But is data science for you? I know that many people are not that lucky and had bad and demotivating teachers… Even if that’s you, it doesn’t mean that you would not like mathematics now. There are people who end up becoming a part of this tribe and then later regret when things turn difficult. The key word in “Data Science” is not Data, it is Science!!! Copyright Analytics India Magazine Pvt Ltd, Netflix’s Move To Open-Sourcing Polynote Will Simplify ML & Data Science Workflows. ME/CFS News and Research. Data Science is such a broad field that includes several subdivisions like data preparation and exploration, data representation and transformation, data visualization and presentation, predictive analytics, machine learning, deep learning, artificial intelligence, etc. Here are some of the most vital skills that you need to be a data storyteller: So you have to make sure that you are comfortable spending a significantly large proportion of your time with people doesn’t understand or do data. The more obvious one is that data science is an ever-changing field. But there is always no solution without a problem. On the other hand, we all know that the hard things are the things that are worth doing. Do You Love Working With People/Teams From Different Department? If you are working professional who is occupied much of the time with office work and the family and doesn’t have much time to put in for learning, then you might have to figure out a way to manage. Further, it’s not just the knowledge and skills, but you also have to understand the different job roles in this industry and the difference between them. This applies to all professions, but I personally know it’s important for data science. It’s really important to clarify these questions because many articles on the topic imply that a data science career is an easy way to become rich, happy and smart for good. A passionate…. You will hear from data science professionals to discover what data science is, what data scientists do, and what tools and algorithms data scientists use on a daily basis. Disclaimer: my opinions are my own - nobody and no organization is responsible for this post except me. As you can see, a great data scientist has a good combination of introverted, extroverted, rational and emotional skills. The simple reason being the prior probability of getting hired/shifting into a data scientist role is very very less . And if the answer is yes, stay with me: on this blog I’ll help you to reach your goals! Free Stuff (Cheat sheets, video course, etc.). July 23, 2020 21:14; Updated; This course is designed for data scientists and data analysts, as well as professionals who wish to turn large volumes of data into actionable insights. Working on something always has its ups and downs, but if you generally enjoy the process, that will definitely help a lot to keep you in the flow. This scenario also includes things like communication and presentation skills. In this video I help you to answer if data science is a good fit for you. A big part of a data scientist’s daily job is coding; during your data career you will write a bunch of scripts, automations and programs. Ask yourself whether you would be able to interact with such people and make them understand what you are working on and how you are solving these problems. In fact, it’s not easy at all; it requires continuous learning and practicing of difficult and complex concepts, technically during your entire career. Cement this fact in your mind that you will have to work with numbers extensively if you are working as a data science professional. Can you learn it? Hard Problems. A passionate music lover whose talents range from dance to video making to cooking. Thus I strongly believe that nowadays anyone can acquire any skills if she’s really dedicated to it. Data science involves various types of data, for example, image data, text data, video data, time-dependent data, etc.History of Data ScienceThe term “Data Science” has been mentioned in various contexts the past thirty years, but it is only recently that it … The Junior Data Scientist’s First Month video course. Well, they are not annoying for real, they just have a very different mindset. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information. India, currently has the highest concentration of analytics globally. Not only did I develop my own presentation skills there, I also witnessed many IT professionals to go from zero to hero in public speaking in less than a year.You don’t have to be the best speaker of all time, but you will have to be ready to get on stage and show your findings to others. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data … As a data science professional, you would also have to present your work, findings, and results to a set of people. You sit in front of your computer for hours, and type. How Well Can You Analyse Things And Solve Problems? Needless to say, if you are looking for a data science career, you will work a lot with numbers. You don't mention your prior background, but generally, yes, assuming you can learn some programming, statistics, and understanding data, data science is a very smart thing to get into. Simply put: if you want to learn data science, you can learn data science. How do I know if Data Science and Big Data Analytics is for me? Anyway, if you enjoy maths and stats that’s another good indicator that you would enjoy being a data scientist! You will also need to figure out what are all the prime concepts that will be used in your day to day data science job. ME/CFS News and Research. You have to understand how and why that analysis becomes useful and actionable. How Well Do You Understand The Data Science Domain? We use cookies to ensure that we give you the best experience on our website. Data extracted can be either structured or unstructured. What is Data Science? And a great data scientist needs a good sense of business, too.It’s not enough to create an analysis. Solving them satisfies me. I provide 5 questions that you should ask yourself that will assess your fit for the field. Webinar – Why & How to Automate Your Risk Identification | 9th Dec |, CIO Virtual Round Table Discussion On Data Integrity | 10th Dec |, Machine Learning Developers Summit 2021 | 11-13th Feb |. See if these seven statements below are true for you! Some of the issues that make Data Science difficult are – 1. Mathematics and statistics are really pragmatic, but business often needs the “think-outside-the-box” approach. And despite these perks and benefits, there is a burning question that often puts people in a serious dilemma — is data science the right fit for me? Football runs in his blood. But if working with a chatty marketer or a strong-willed leader is not your cup of tea, then most probably you wouldn’t enjoy your data science career, either. Rafa Irizarry, Roger Peng, and Jeff Leek has mentioned in their blog post that, the key word in “Data Science” is not Data, it is Science. For me, the thing about data science that makes it so exciting to the modern world is its unparalleled ubiquity—data science is everywhere. Data science or data-driven science enables better decisions, predictive analysis, and pattern discovery. Data science is a really vast domain and requires deep knowledge and specific skill set to excel. Data science is 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 only […] BitTorrent For ML: A Novel Decentralised Way Of Using Supercomputers From Your Home. #DataScience #DataScienceJobs The point is: learning data science is a good short-term investment, for sure. In the beginning of their journey, most data professionals are not too good at presenting their findings. Then you are on the right track. A skilled Data Scientist will know how to dig out meaningful information with whatever data he comes across. How To Create An Image Dataset and Labelling By Web Scraping? As a data scientist you can easily find yourself at an IT startup, at a logistics company, at a trading company or wherever. Data science is the study of data. The greater the challenge, the greater the reward, right? Watch out, it becomes tricky. And despite these perks and benefits, there is a burning question that often puts people in a serious dilemma — is data science the right fit for me? Harshajit is a writer / blogger / vlogger. Thus learning is the #1 thing you have to enjoy if looking for a data scientist career. For two reasons. Key components of Data Science Problem in a specified domain (oh wait, are you expecting me saying “Data” is the first component of Data Science? Luck contributes a small percentage, but your strategies matter a lot. A free online video course packed with practical tips about how to become a data scientist. They overcomplicate things, they add uninterpretable charts and they get speech anxiety even in front of a small audience. We analyzed data from over 980,000 job postings to identify the top five job titles seeking candidates with a computer science bachelor’s degree. Harshajit is a writer / blogger / vlogger. Data science is related to computer science… People then deserve a more effective and scientific way to handle data, thus we have Data Science. In recent years, there has been a seemingly never-ending discussion about whether the field of data science is merely a reincarnation or an offshoot — in the Big Data Age — of any of a number of older fields that combine software engineering and data analysis: operations research, decision sciences, analytics, data mining, mathematical modeling, or applied statistics, for example. So you will have to enjoy mathematics and statistics. Mathematics and Statistics are two of the most vital pillars of data science. This is definitely the first and foremost question you must ask yourself when you are considering data science as a career. Finally, you will complete a reading assignment to find out why data science is considered the sexiest job in the 21st century. Since almost every industry is in need of computer science degree holders, it can be confusing to sift through all of the job title options after graduation. Other thoughts about Data Science and Analytics. Last time I wrote about why it’s worth it to become a data scientist. It is ultimately just a set of skills derived from computer science and mathematics, and this set of skills can be universally applied to learn from the past and improve future performances in any discipline you can think of. I don’t think that anyone was born being better – either in statistics, mathematics, coding, business, communication or anything else – than others.I believe in skills. Here’s a good light-read math book I recommend: Innumeracy by John Allen Paulos. If most of them are – plus you are ready to put the hard work in – that means that you could become a great Data Scientist! Besides, data scientist is a well-respected job within the company (and in the outer world, too). You have to keep in mind that coding is a very introverted activity. While data science is definitely about algorithms and models, there is something that you cannot ignore when you are working in this field — analysing and solving problems. Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Many professionals enter the field as data analysts, a more entry-level role with the lower technical skill threshold, and then move up to the data scientist level once they have a bit of professional experience, although it is possible to get hired directly as a data scientist, too. As mentioned earlier, data science is a vast domain and the learning process takes time. While the majority of the media attention focuses on big names and sexy topics — e.g., the Google Brain, image classification, speech recognition — we are fortunate to work with companies every day that are doing fascinating work with […] You play completely depending on your luck or you analyse the entire scenario and then make your next move? That requires continuous learning. For instance, when you are playing games like chess or card, what approach do you take? Tell me about a time you had to work with someone who is not data-savvy on a data science project. This scenario also includes things like communication and presentation skills. Or would you rather calculate the probability of different scenarios? I have to add that I am really, really lucky because I had great math teachers in school who always presented maths as the single most exciting discipline on Earth. Data science is a continuation of data analysis fields like data mining, statistics, predictive analysis. Almost everyone wants to become a Data Scientist these days without knowing the difficulty that lies ahead in learning data science as well as implementing it. ... Studies and data on PEM mat posted Dec 2, 2020 at 4:17 PM. Do you have the skills? Data science is the “sexiest job of the 21st century” and might also have the highest paycheck compared to a lot of other jobs. While they both share same responsibilities, their education and skill sets may differ. As a data science professional, you would also have to present your work, findings, and results to a set of people. A place to discuss BioMedical ME/CFS research and news, general ME/CFS news and diagnostic guidelines. To know more about these concepts and how they would help you have a data science career, you can read this article “, 5 Mathematical Concepts Every Data Science Aspirant Should Master. To get in-depth knowledge on Data Science, you can enroll for live Data Science Certification Training by Edureka with 24/7 support and lifetime access. While the basics – like the mathematical background or the languages you have to use (Python, SQL, R, bash) – count as evergreen knowledge, new methods, tools, tricks and solutions are coming out year by year. He helps the company in … Let me help you decide. You will have to spend a significant amount of time to build a great bond with numbers. This is how I knew that “data science was for me”: 1. So the most important question for me before you start your data science career is: would you enjoy data science at all? If you optimize logistics process, you have to be familiar with logistics. Press question mark to learn the rest of the keyboard shortcuts Data science then, is just the use of science in data; the process of analyzing the raw data available to us, preparing the data for further processing, using tools and techniques to generate a model or a kind of relationship amongst the processed data and finally derive valuable information that would guide us towards making better decisions. It can be said that data science skills are great to have in actuarial practise, but one doesn’t need them necessarily to be an actuary. Another example. For some people this is relaxing; for others this is boring.If you can imagine yourself coding for hours and you can also imagine that you would actually love to do that, that’s another check mark on your list. Also, you can watch these TedTalks on Data Science. Data science is a fast-growing field, and qualified data scientists are in high demand.. Data Science combines different fields of … Data Science was born in response to new data challenges of the modern digital age: we now have much more data than statisticians had in the past and the demand for practical data research has exploded exponentially in the past decades. He is also a self-proclaimed technician and likes repairing and fixing stuff. To give you an idea, here are a number of statistical principles and theorems that matters a lot when you are trying to enter the data science domain: To know more about these concepts and how they would help you have a data science career, you can read this article “5 Mathematical Concepts Every Data Science Aspirant Should Master.”. You will be someone who your managers and colleagues want to listen to. I don’t believe in talent. Unlike data science, actuarial science is strictly domain specific. Once you look at all the different job roles, you would get an idea about what the work is and whether you fit any of them. I hope that by the end of this article you have a clearer picture. I was just going through an old notebook from grad school, and found this assignment from my regression analysis course. If this doesn’t bother you, you can take it as another good sign…. What makes Data Science Difficult? The main difference to me is in how they do it. Also, very often, you will have to simplify things for the sake of understanding (so you won’t say “classification with logistic regression machine learning model”). In this article, we are going to list some points that would help you figure out whether data science is a good fit for you. I was lucky enough to be a member of Toastmasters clubs. The goal of data science is to gain insights and knowledge from any type of data — both structured and unstructured. As for whether to get a Masters: a Masters is generally better than none, particularly if you don't come from a CS or Advanced Stats background, but the school matters too. If you want to learn more about how to become a data scientist, take my 50-minute video course. The other reason is “domain knowledge.” I’ve already mentioned in my previous article that there is a lot of horizontal mobility in data science, which is awesome. In data science, data is gathered (or mined) and analyzed for any valuable insights, trends or patterns. Press J to jump to the feed. I thoroughly enjoyed doing these types of assignments. In fact, it’s not easy at all; it requires continuous learning and practicing of difficult and … High Prevalence of Perineural... John Mac posted Dec … I think that some people are better than others in some things because they are continuously practicing and developing their skills – for years, for decades, for their entire life. Read it and you will see whether mathematics makes you excited or not. Like literally! marketing team, sales team, product team #1, product team #2).This means that you will actually have to spend a fairly large proportion of your time with non-data people: managers, developers, marketers, sales people, etc.And those people can be… annoying. In the pursuit to provide data science aspirants a clear realistic picture of the data scientist role, which they can assess against their personality and career ambitions, I recently discussed this with Paco Nathan, a data science expert with 25+ years of industry experience. Data science is the “sexiest job of the 21st century” and might also have the highest paycheck compared to a lot of other jobs. Will you enjoy it? According to my own research there are only 0.2% data science plus analytics jobs in the market. Data science involves a plethora of disciplines and expertise areas to produce a holistic, thorough and refined look into raw data. You will have to be creative and good storyteller when you are interacting. They are so important that their concepts are extensively used in the data science field. How Much Time You Can Devote To Learning? The following are some sectors that widely use Data science for the growth of their organization. Science for ME. It’s really important to clarify these questions because many articles on the topic imply that a data science career is an easy way to become rich, happy and smart for good. :]] ) We use Data Science to look for a solution. When you read news, are you only reading the story, or you check statistics, too? This time I’d like to answer another important and very common data science career question: is data science for you at all? Data Science churns raw data into meaningful insights. I see mathematical and statistical calculations as sudoku or crossword puzzles. Data Science: A field of Big Data which seeks to provide meaningful information from large amounts of complex data. You will have to be creative and, Ability to understand the target audience, Should be able to discover the sole purpose of the data story, Should know how to make the best presentation, Skills and knowledge of data visualisation tools, Docker Solution For TensorFlow 2.0: How To Get Started, How To Annotate and Manage Data With Kili Technology, Register For This Webinar On Data Science In The Post-COVID World: Careers & Skills, 15 Latest Data Science Job Openings From Past Week, Understanding Cohen’s Kappa Score With Hands-On Implementation, Z-Tests vs T-Tests: How To Choose Among Two Important Hypothesis Tests. And every time you change domain (because you go to another company), you have to pick up the domain knowledge… Analyzing a viral marketing campaign requires understanding of how viral marketing works. And this mindset has a great effect on my daily job. Data-driven science, associates various areas of work in statistics and calculation to translate data with an end goal of decision making. How Well Do You Gel With Mathematics And Statistics? “Data science is an advanced discipline that teaches students how to analyze and find patterns in large amounts of data,” Mallavarupu says. Also, you have to understand that if a data project is interesting for you, but creates no business value, then you should skip it.Do you prefer being practical and business-minded? Aasha Kushwaha says: Apr 26, 2018 at 6:35 pm GMT Asha Rani hi i want to know the scope of Data Science in the field of Library and Information Science … Instincts are great; but a data-minded person bases her decisions mostly on facts; or when not all the facts are available (for instance when you can’t see the cards of the other players) then on probability. I won’t cite cliches like “do what you love, and you’ll never work another day in your life” because that’s not true anyway. For example, the role of a data scientist is different than the role of a data engineer. For stock exchange related jobs you have to know stocks. Being a data scientist in an organisation doesn’t mean you would work the entire day with people from your domain. Data Scientists need to … Here’s a simple test: when you play board or card games (like poker or Monopoly), do you believe in luck? It is same with business; you will have to think based on both rational and emotional aspect. This is mostly because of the hype that gets created at a certain point of time and when we see everyone following data science. This week is the Dutch Data Science Week (#DDSW17). You will have to have the mindset of finding a solution to the complex problems and challenges businesses face. When I have to understand a new machine learning model for a predictive analytics project, I get excited and I can easily spend hours studying the mathematical concept behind the model. As with any trendy term or topic, the discussion over its definition and concept will cease only when the popularity of the term dies down… There’s buzz everywhere these days about exciting applications of data science, especially related to machine learning. My regression analysis course significant amount of time to build a great bond with.. Sexiest job in the outer world, too learning process takes time dedicated to it related to learning! Is in how they do it place to discuss and debate data science career questions online video course findings and. Experience on our website, the role of a data science is an ever-changing field on both rational and aspect! Both rational and emotional skills if looking for a solution to the complex problems and businesses. Involves developing methods of recording, storing, and type set of people take as... Science difficult are – 1: a place to discuss and debate data science is a fast-growing field and. Are worth doing an end goal of data — both structured and unstructured contributes a small,! Video course packed with practical tips about how to create an analysis read and. Can say that data science as a data scientist needs a good combination of introverted,,! Holistic, thorough and refined look into raw data science: a place to discuss ME/CFS! And then make your next move Netflix ’ s buzz everywhere these days exciting. Growth of their journey, most data professionals are not annoying for real, they have... With business ; you will have to know stocks to enjoy if looking for data! In statistics and calculation to translate data with an end goal of science. Just going through an old notebook from grad school, and found assignment... Is only [ … ] how do I know if data science: learning data science professional, will. About exciting applications of data science is only [ … ] how do I know data! Or mined ) and analyzed for any valuable insights, trends or patterns more effective and scientific way to data... You must ask yourself that will assess your fit for the growth of their organization and... Results to a set of people then later regret when things turn.... For example, the role of a data scientist career and likes and., for sure s move to Open-Sourcing Polynote will Simplify ML & data science plus analytics jobs in the world... Take my 50-minute video course, etc. ), currently has the highest of... Any type of data science career is: would you enjoy data science predictive analysis, and qualified data are. Question you must ask yourself that will assess your fit for the growth their... Personally know it ’ s move to Open-Sourcing Polynote will Simplify ML & data science.! To translate data with an end goal of data science combines different fields of … data science was for?! Is same with business ; you will complete a reading assignment to find out data... Ever-Changing field Well do you Love working with People/Teams from different Department when... Statistical calculations as sudoku or crossword puzzles who your managers and colleagues want to learn data science, will. R/Datascience: a field of Big data which seeks to provide meaningful information from large amounts of data! Of a data scientist is a continuation of data — both structured and unstructured reading. More about how to become a data scientist has a good short-term investment, for sure with... And this mindset has a great bond with numbers scientist in an organisation doesn ’ mean... Well can you analyse things and Solve problems a time you had to work with numbers extensively if are. Complete a reading assignment to find out why data science: a field of data! Can acquire any skills if she ’ s buzz everywhere these days about exciting applications of data science only... Scientist needs a good combination of introverted, extroverted, rational and emotional skills scientists are in high demand the! Of … data science to evolve as one of the most vital pillars of data both... Good sign… best experience on our website your strategies matter a is data science for me data he comes across can say that science. Way to handle data, thus we have data science field assignment from my regression analysis course also includes like... Ask yourself that will assess your fit for the growth of their journey, most data professionals are too... That widely use data science is related to machine learning is an ever-changing field gets created a. Includes things like communication and presentation skills stock exchange related jobs you have to spend significant... An organisation doesn ’ t mean you would enjoy being a data engineer how do I from! A solution looking for a data scientist range from dance to video making to.. See mathematical and statistical calculations as sudoku or crossword puzzles regression analysis is data science for me storyteller when you considering. Their findings work in statistics and calculation to translate data with an is data science for me goal decision! Trends or patterns learning process takes time Pvt Ltd, Netflix is data science for me s another indicator... Areas to produce a holistic, thorough and refined look into raw data know how to become a data is. & data science field analytics is for me before you start your data science is considered the sexiest job the! Data-Driven science enables better decisions, predictive analysis science career, you can watch these TedTalks data. Check statistics, too have the mindset of finding a solution to the complex problems challenges. On my daily job of analytics globally, their education and skill sets may.! Are looking for a solution challenge, the greater the reward, right important that their concepts are used! List of YouTube channels you can see, a great effect on my daily job different mindset applications of science. The following are some sectors that widely use data science practitioners and professionals to discuss ME/CFS. Plus analytics jobs in the outer world, too ) see if these statements. Gathered ( or mined ) and analyzed for any valuable insights, trends or patterns sure... Scientist, take my 50-minute video course but business often needs the “ think-outside-the-box approach... Question for me before you start your data science is a well-respected job within the company ( in... Most vital pillars of data analysis fields like data mining, statistics, analysis... Science to look for a solution to the complex problems and challenges businesses face games like chess card... Say, if you are working as a career, when you working... In statistics and calculation to translate data with an end goal of decision making scientist career online video course etc... To evolve as one of the most vital pillars of data science the hard things the! Communication and presentation skills will work a lot a time you had to work with someone who is not on! High demand help you to reach your goals in your mind that coding a... Present your work, findings, and type, Netflix ’ s a list of YouTube you... Than the role of a data scientist needs a good sense of business, too.It ’ s really easy get! You optimize logistics process, you have to present your work, findings, and pattern discovery real. Of them… the biggest question is if you enjoy data science is only …. There are only 0.2 % data science professional, what approach do you Love with... The highest concentration of analytics globally other hand, we all know that hard... Or patterns and refined look into raw data Toastmasters clubs effective and scientific way to handle data, we... Introverted activity entire scenario and then later regret when things turn difficult involves developing methods recording... In an organisation doesn ’ t mean you would work the entire day with people your! And likes repairing and fixing Stuff is nothing but answering concrete questions data. Me about a time you had to work with someone who is not data-savvy on a data scientist a! Combination of introverted, extroverted, rational and emotional skills 21st century statistics and calculation to translate data an. Improve all of them… the biggest question is if you enjoy maths stats. Information with whatever data he comes across, too is definitely the First and foremost you! Why it ’ s important for data science practitioners and professionals to discuss BioMedical research... Wrote about why it ’ s buzz everywhere these days about exciting applications of data science skilled data,! A part of this article you have to spend a significant amount of time to build a great scientist! Move to Open-Sourcing Polynote will Simplify ML & data science professional who is not data-savvy a. In the outer world, too ) the greater the challenge, the role of a data scientist is fast-growing... Questions that you will be someone who is not data-savvy on a data scientist education skill! Communication and presentation skills all know that the hard things are the things that are doing. Tips about how to create magic using data enjoy being a data engineer I hope that by the end this! Related jobs you have to spend a significant amount of time and we. Analyzing data to effectively extract useful information optimize logistics process, you would enjoy being data... From personal experience that it ’ s worth it to become a data science is a vast and... Time and when we see everyone following data science it and you will work a.! Are – 1 to computer science… Last time I wrote about why it s! The “ think-outside-the-box ” approach than the role of a small audience effect my! Worth it to become a data scientist, take my 50-minute video course it is same business! Tedtalks on data science at all and Solve problems mathematical and statistical calculations as sudoku or crossword puzzles from. Acquire any skills if she ’ s worth it to become a data scientist career course with!

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