Download or read book Data Science Jobs written by Ann Rajaram and published by . This book was released on 2019-05-20 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Land a high-paying $$$ DataScience job in 90 days or less! This book is the perfect guide for you, if you fall into any of these categories: * Looking to start a career in data science, but unsure where to start. * Tired of applying to dozens of jobs without getting a positive response and/or final job offer .* You recently completed a masters degree or bootcamp and need to quickly find a job. * Are you an experienced tech professional, but looking to pivot into analytics to boost your salary potential. The book will teach you proven successful strategies on: * Winning Profiles Turbocharge your resume and LinkedIn profile and start receiving interview calls from hiring managers. Let JOBS CHASE YOU, instead of the other way around! * LinkedIn - A dedicated chapter on LinkedIn that teaches you some creative (and SECRET) ways to leverage the site and identify high-paying jobs with low competition. * Niche sites - A full list of niche job boards that other candidates have overlooked. These sites have high-$ jobs but lesser competition than the popular job search sites. Upwork - Contrary to popular opinion, Upwork can help you make $$$ in data science jobs. Learn proven techniques to help you bag contracts and start earning, as quickly as next week. * 100+ interview questions asked in real-life data scientist interviews. * Other learner resources and much more...Unlike most job search books that are written by recruiters or professors, this book is written by a senior data science professional, who rose quickly from analyst to managerial roles. She has attended interviews of her own, and knows clearly the frustrations (and at times, hopelessness) of the job search process. Author is a seasoned analytics professional who has worked in Top Firms like NASDAQ, BlackRock, etc. The systems in this book have successfully helped dozens of job seekers and will work effectively for you too! Read on to launch your dream career! Note, this book is deliberately kept short and precise, so you can quickly read through and start applying these principles, instead of sifting through 500 pages of fluff.

Download or read book Data Science Careers Training and Hiring written by Renata Rawlings-Goss and published by Springer. This book was released on 2019-09-17 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build.

Download or read book Build a Career in Data Science written by Emily Robinson and published by Simon and Schuster. This book was released on 2020-03-06 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder

Download or read book Data Science Job written by Przemek Chojecki and published by Independently Published. This book was released on 2020-01-29 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: We're living in a digital world. Most of our global economy is digital and the sheer volume of data is stupendous. It's 2020 and we're living in the future. Data Scientist is one of the hottest job on the market right now. Demand for data science is huge and will only grow, and it seems like it will grow much faster than the actual number of data scientists.So if you want to make a career change and become a data scientist, now is the time.This book will guide you through the process. From my experience of working with multiple companies as a project manager, a data science consultant or a CTO, I was able to see the process of hiring data scientists and building data science teams. I know what's important to land your first job as a data scientist, what skills you should acquire, what you should show during a job interview.

Download or read book Careers in Data Science written by Institute for Career Research and published by . This book was released on 2020-03-30 with total page 34 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA SCIENTISTS HAVE A FASCINATING JOB. They are the invaluable professionals that know what to do with the mountains of information that is being created and gathered from every corner of the world every single minute of the day. In this highly digitized world today, everyone seems to have an urgent need to do something with all the "Big Data" for fear of missing out on something. Businesses, from banks to car manufacturers, depend on data scientists to help them make important decisions that will bolster their bottom line and edge out the competition. Government agencies at all levels use their findings to make important policy changes. Even nonprofit organizations depend on data scientists to help them improve the lives of countless people.It is a challenging job to take an enormous pile of information and distill it into something useful. There is simply too much information for the average person to process and use. It is the data scientist's mission to analyze data for actionable insights, but theirs is no easy task. Using a combination of math, statistics, and programming skills, data scientists are able to compile, organize, clean, and interpret any number of data points. They then use their expert analytic skills to uncover hidden solutions that can be applied to a wide range of purposes. It takes some rigorous education to become an effective data scientist. They need to become expert programmers, using tools like Python, SQL, R, and Scala. They need cutting-edge skills in machine learning, data visualization, artificial intelligence, modeling, and optimization. They have to be expert in using Excel. Most data science professionals have graduate degrees, either a master's or PhD, in data science, statistics, computer science, or mathematics. Data scientists come from a wide range of educational backgrounds, though some technical training is always necessary. For example, those educated in business or human behavior can offer unique perspectives that allow them to arrive at more accurate and relevant conclusions. There is a wide array of opportunities for professionals with the advanced skills and know-how to work in data science roles. The demand is high now - well above the national average - and the trend is zooming upward. Over the next few years, the analytics market is expected to grow by leaps and bounds until it is at least one-third of the global IT market. Organizations of all kinds are scrambling to integrate data science into their business processes. Although the demand is rising steadily, there is a huge deficit on the supply side of qualified employees, creating excellent prospects for future data scientists. Those in the field can look forward to a promising job market and longevity, and there is more good news as well. Data scientists enjoy excellent compensation for their work, with a median income of almost $100,000 and the potential to earn $250,000 a year. The pay really stands out as an attractive feature, plus there are also reports of high job satisfaction. No wonder data scientist has been voted the Best Job in America four years in a row!

Download or read book Data Science Careers Training and Hiring written by Renata Rawlings-Goss and published by Springer. This book was released on 2019-08-02 with total page 85 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an information packed overview of how to structure a data science career, a data science degree program, and how to hire a data science team, including resources and insights from the authors experience with national and international large-scale data projects as well as industry, academic and government partnerships, education, and workforce. Outlined here are tips and insights into navigating the data ecosystem as it currently stands, including career skills, current training programs, as well as practical hiring help and resources. Also, threaded through the book is the outline of a data ecosystem, as it could ultimately emerge, and how career seekers, training programs, and hiring managers can steer their careers, degree programs, and organizations to align with the broader future of data science. Instead of riding the current wave, the author ultimately seeks to help professionals, programs, and organizations alike prepare a sustainable plan for growth in this ever-changing world of data. The book is divided into three sections, the first “Building Data Careers”, is from the perspective of a potential career seeker interested in a career in data, the second “Building Data Programs” is from the perspective of a newly forming data science degree or training program, and the third “Building Data Talent and Workforce” is from the perspective of a Data and Analytics Hiring Manager. Each is a detailed introduction to the topic with practical steps and professional recommendations. The reason for presenting the book from different points of view is that, in the fast-paced data landscape, it is helpful to each group to more thoroughly understand the desires and challenges of the other. It will, for example, help the career seekers to understand best practices for hiring managers to better position themselves for jobs. It will be invaluable for data training programs to gain the perspective of career seekers, who they want to help and attract as students. Also, hiring managers will not only need data talent to hire, but workforce pipelines that can only come from partnerships with universities, data training programs, and educational experts. The interplay gives a broader perspective from which to build.

Download or read book Introduction to Data Science and Machine Learning written by Keshav Sud and published by BoD – Books on Demand. This book was released on 2020-03-25 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science and Machine Learning has been created with the goal to provide beginners seeking to learn about data science, data enthusiasts, and experienced data professionals with a deep understanding of data science application development using open-source programming from start to finish. This book is divided into four sections: the first section contains an introduction to the book, the second covers the field of data science, software development, and open-source based embedded hardware; the third section covers algorithms that are the decision engines for data science applications; and the final section brings together the concepts shared in the first three sections and provides several examples of data science applications.

Download or read book Data Science Secrets How to Get Your Dream Job in Data written by Jay Samson and published by Independently Published. This book was released on 2019-08-12 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science Secrets is the #1 strategy guide to break into the field of data and get hired as a Data Scientist, Data Analyst, or Data Engineer. This was created by a group of top Data Scientists and Data Hiring Managers in Silicon Valley to share the secrets of landing your dream job.Here's what's included: Top Interview Questions from companies like Google, Facebook, Amazon, Airbnb, and many more, plus detailed sections on how to answer the questions effectively and get hired.The 8 Week Strategy to find your dream job: learn how to get interviews with your top companies, and more importantly- succeed and get an incredible job offer.Online Learning Breakdown: we go deep into the pros and cons of the online learning options to help you find the right platform for youIn-depth explanations of data roles. There are literally hundreds of different roles and job titles in the world of data- how do you know which is right for you? This section will help you understand how to pursue the role that is the best fit for you.And much more! Check out our testimonials: "This book made a huge difference in my job search. I was frustrated and unsuccessful for months, but everything changed when I applied the principles in the book. Now I'm making over $120,000/yr and I love what I do" -Aaron P"This book is like a having a personal career coach 24/7. I went from an OK job as a marketing coordinator to a much better (and much better paying) role as a product Data Scientist at a top tech company. 'Data Science Secrets' is worth its weight in gold"

Download or read book Cracking the Data Science Interview written by Leondra R. Gonzalez and published by Packt Publishing Ltd. This book was released on 2024-02-29 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Rise above the competition and excel in your next interview with this one-stop guide to Python, SQL, version control, statistics, machine learning, and much more Key Features Acquire highly sought-after skills of the trade, including Python, SQL, statistics, and machine learning Gain the confidence to explain complex statistical, machine learning, and deep learning theory Extend your expertise beyond model development with version control, shell scripting, and model deployment fundamentals Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe data science job market is saturated with professionals of all backgrounds, including academics, researchers, bootcampers, and Massive Open Online Course (MOOC) graduates. This poses a challenge for companies seeking the best person to fill their roles. At the heart of this selection process is the data science interview, a crucial juncture that determines the best fit for both the candidate and the company. Cracking the Data Science Interview provides expert guidance on approaching the interview process with full preparation and confidence. Starting with an introduction to the modern data science landscape, you’ll find tips on job hunting, resume writing, and creating a top-notch portfolio. You’ll then advance to topics such as Python, SQL databases, Git, and productivity with shell scripting and Bash. Building on this foundation, you'll delve into the fundamentals of statistics, laying the groundwork for pre-modeling concepts, machine learning, deep learning, and generative AI. The book concludes by offering insights into how best to prepare for the intensive data science interview. By the end of this interview guide, you’ll have gained the confidence, business acumen, and technical skills required to distinguish yourself within this competitive landscape and land your next data science job.What you will learn Explore data science trends, job demands, and potential career paths Secure interviews with industry-standard resume and portfolio tips Practice data manipulation with Python and SQL Learn about supervised and unsupervised machine learning models Master deep learning components such as backpropagation and activation functions Enhance your productivity by implementing code versioning through Git Streamline workflows using shell scripting for increased efficiency Who this book is for Whether you're a seasoned professional who needs to brush up on technical skills or a beginner looking to enter the dynamic data science industry, this book is for you. To get the most out of this book, basic knowledge of Python, SQL, and statistics is necessary. However, anyone familiar with other analytical languages, such as R, will also find value in this resource as it helps you revisit critical data science concepts like SQL, Git, statistics, and deep learning, guiding you to crack through data science interviews.

Download or read book Data Science A Comprehensive Guide to Building Your Career written by Dr Victor Maeverich and published by Independently Published. This book was released on 2024-05-26 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unveiling Your Data Science Potential: A Guide to Launching and Thriving in Your Career Are you ready to unlock a world of data-driven insights and embark on a fulfilling journey as a data scientist? This comprehensive guide equips you with the knowledge and strategies to navigate every step of your data science career, from launching your job search to achieving continuous learning and growth. Part 1: Introduction to Data Science Careers Demystify the exciting world of data science and explore the diverse career paths it offers. Gain a clear understanding of the essential skills and qualifications required to thrive in this dynamic field. Discover the compelling reasons to pursue a data science career, from its intellectual challenges to its impactful applications. Part 2: Launching Your Data Science Job Search Craft a robust data science skillset by mastering the fundamentals of programming, statistics, and machine learning. Learn the secrets to crafting a compelling resume and cover letter that showcases your unique value proposition to potential employers. Navigate the job search landscape effectively by utilizing job boards, company websites, and professional networking strategies. Part 3: Negotiating Your Data Science Offer Understand the different components of a data science compensation package, including salary, benefits, and potential bonuses. Master the art of negotiation by asking insightful questions to assess company culture, growth opportunities, and overall fit. Learn to confidently advocate for your worth and secure a data science offer that aligns with your career aspirations. Part 4: Continuous Learning - A Lifelong Pursuit in Data Science Cultivate a growth mindset and embrace continuous learning as the cornerstone of your long-term success in data science. Develop a dedicated learning routine to stay updated with the latest trends, technologies, and best practices in the field. Explore various resources such as online courses, conferences, workshops, and meetups to fuel your knowledge and broaden your network. Learn how to contribute to the data science community by sharing your knowledge, participating in open-source projects, and mentoring others. This book is your roadmap to a thriving data science career. With its guidance, you'll transform from an aspiring data scientist into a confident professional, equipped to make a lasting impact in the ever-evolving world of data.

Download or read book Analyzing the Analyzers written by Harlan Harris and published by "O'Reilly Media, Inc.". This book was released on 2013-06-10 with total page 45 pages. Available in PDF, EPUB and Kindle. Book excerpt: Despite the excitement around "data science," "big data," and "analytics," the ambiguity of these terms has led to poor communication between data scientists and organizations seeking their help. In this report, authors Harlan Harris, Sean Murphy, and Marck Vaisman examine their survey of several hundred data science practitioners in mid-2012, when they asked respondents how they viewed their skills, careers, and experiences with prospective employers. The results are striking. Based on the survey data, the authors found that data scientists today can be clustered into four subgroups, each with a different mix of skillsets. Their purpose is to identify a new, more precise vocabulary for data science roles, teams, and career paths. This report describes: Four data scientist clusters: Data Businesspeople, Data Creatives, Data Developers, and Data Researchers Cases in miscommunication between data scientists and organizations looking to hire Why "T-shaped" data scientists have an advantage in breadth and depth of skills How organizations can apply the survey results to identify, train, integrate, team up, and promote data scientists

Download or read book Getting Hired as a Data Scientist written by Zacharias Voulgaris and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: "Zack will show you how to get hired as a data scientist within various industries. This includes covering numerous activities needed to prepare for a data science job and strategies for removing obstacles in your way to data science career success."--Resource description page.

Download or read book How to Become a Data Scientist written by Adam Ross Nelson and published by . This book was released on 2023-04-12 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Strategic advice on How to Become a Data Scientist! Any experienced professional hoping to break into data needs this book because it strikes the right balance between strategic advice and pragmatic tips.

Download or read book The Data Science Workshop written by Anthony So and published by Packt Publishing Ltd. This book was released on 2020-01-29 with total page 817 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cut through the noise and get real results with a step-by-step approach to data science Key Features Ideal for the data science beginner who is getting started for the first time A data science tutorial with step-by-step exercises and activities that help build key skills Structured to let you progress at your own pace, on your own terms Use your physical print copy to redeem free access to the online interactive edition Book DescriptionYou already know you want to learn data science, and a smarter way to learn data science is to learn by doing. The Data Science Workshop focuses on building up your practical skills so that you can understand how to develop simple machine learning models in Python or even build an advanced model for detecting potential bank frauds with effective modern data science. You'll learn from real examples that lead to real results. Throughout The Data Science Workshop, you'll take an engaging step-by-step approach to understanding data science. You won't have to sit through any unnecessary theory. If you're short on time you can jump into a single exercise each day or spend an entire weekend training a model using sci-kit learn. It's your choice. Learning on your terms, you'll build up and reinforce key skills in a way that feels rewarding. Every physical print copy of The Data Science Workshop unlocks access to the interactive edition. With videos detailing all exercises and activities, you'll always have a guided solution. You can also benchmark yourself against assessments, track progress, and receive content updates. You'll even earn a secure credential that you can share and verify online upon completion. It's a premium learning experience that's included with your printed copy. To redeem, follow the instructions located at the start of your data science book. Fast-paced and direct, The Data Science Workshop is the ideal companion for data science beginners. You'll learn about machine learning algorithms like a data scientist, learning along the way. This process means that you'll find that your new skills stick, embedded as best practice. A solid foundation for the years ahead.What you will learn Find out the key differences between supervised and unsupervised learning Manipulate and analyze data using scikit-learn and pandas libraries Learn about different algorithms such as regression, classification, and clustering Discover advanced techniques to improve model ensembling and accuracy Speed up the process of creating new features with automated feature tool Simplify machine learning using open source Python packages Who this book is forOur goal at Packt is to help you be successful, in whatever it is you choose to do. The Data Science Workshop is an ideal data science tutorial for the data science beginner who is just getting started. Pick up a Workshop today and let Packt help you develop skills that stick with you for life.

Download or read book Hiring Data Scientists and Machine Learning Engineers written by Roy Keyes and published by . This book was released on 2021-08-30 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Hiring Data Scientists and Machine Learning Engineers is a concise, practical guide to help you hire the right people for your organization. The book will help you navigate the plethora of data science related roles and skills and help you create an effective hiring strategy to suit your organization's needs.

Download or read book Data Science From Scratch written by David Park and published by Independently Published. This book was released on 2019-05-21 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science is the application of a combination of mathematical, statistical, analytical and programming skills for the collection, organization, and interpretation of data to allow effective and proper management of the business whose data it is. The job of such a scientist is trending all over the world. The demand for such scientists is huge, more than the number of available candidates. A recent report explained that the need for these scientists has increased by more than 50% since last year. These scientists often referred to as big data wranglers, are a perfect blend of mathematician and computer scientist. Data science is a field of study that is growing at a fast pace. From big tech companies to E-commerce companies to websites and many others are now relying on data science. Amount of data that is collected by these companies are without any bounds. Semi-structure to big unstructured data is stored in large frameworks of these companies. Now the question is how to use this. What you will gain as knowledge in this book: Why Is Data Science Widely Used? Why Should You Study Data Science? Why Should One Consider Data Science As A Career? Data Science: An Exciting Career Option Types of Data Loss and Recovery Options Data Science and Its Wide Range of Applications What Are the Programming Languages Required for Data Science? Meaning of Data Science in Depth 4 Weird Ways How Data Is Used Around the World 5 Reasons Why Data Science Could Be the Advertising Wave of the Future It is a field where one should be trained and practiced. Without proper training and applicative skills, one cannot be as successful as a data scientist. There is a lot to learn about various data science tools and techniques. Getting certified will not only help you hone your skills but also will confirm your future as a data scientist.

Download or read book Be the Outlier written by Shrilata Murthy and published by . This book was released on 2020-07-27 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: According to LinkedIn's third annual U.S. Emerging Jobs Report, the data scientist role is ranked third among the top-15 emerging jobs in the U.S. Though the field of data science has been exploding, there didn't appear to be a comprehensive resource to help data scientists navigate the interview process... until now. In Be the Outlier: How to Ace Data Science Interviews, data scientist Shrilata Murthy covers all aspects of a data science interview in today's industry. Murthy combines her own experience in the job market with expert insight from data scientists with Google, Facebook, Amazon, NASA, Aetna, MBB & Big 4 consulting firms, and many more. In this book, you'll learn... the foundational knowledge that is key to any data science interview the 100-Word Story framework for writing a stellar resume what to expect from a variety of interview styles (take-home, presentation, case study, etc.), and actionable ways to differentiate yourself from your peers. By using real-world examples, practice questions, and sample interviews, Murthy has created an easy-to-follow guide that will help you crack any data science interview. After reading Be the Outlier, get ready to land your dream job in data science.