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EBookClubs

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Book Data Science Secrets  How to Get Your Dream Job in Data

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"

Book Data Science Secrets

Download or read book Data Science Secrets written by Jay Samson and published by Trap Door Publishing. This book was released on 2019-09-01 with total page 155 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

Book Data Science Jobs

Download or read book Data Science Jobs written by Ann Rajaram and published by JourneyofAnalytics. This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Want a high-paying $$$ career in the exciting field of DataScience? This is the ONLY book that will help you land a lucrative Analytics job in 90 days or less! This book is the perfect guide for you, if you fall into any of these categories: * You recently completed a masters degree (or online course or bootcamp) and want to get hired quickly as a Data Scientist, Data Analyst, Data Engineer, Machine learning engineer or BI developer. * Looking to start a career in data science, but unsure where to start. * You are an experienced tech professional, but looking to pivot into analytics to boost your salary potential. * Tired of applying to dozens of jobs without getting a positive response and/or final job offer . * F1 visa, STEM OPT/ CPT students will also find this book helpful to land a job in this lucrative field. The book will teach you proven successful strategies on: * Winning Profiles Turbocharge your resume and LinkedIn profile and start receiving interview calls from hiring managers. Let JOBS CHASE YOU, instead of the other way around! * LinkedIn - A dedicated chapter on LinkedIn that teaches you some creative (and SECRET) ways to leverage the site and identify high-paying jobs with low competition. * Niche sites - A full list of niche job boards that other candidates have overlooked. These sites have high-$ jobs but lesser competition than the popular job search sites. Upwork - Contrary to popular opinion, Upwork can help you make $$$ 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... Author is a practicing analytics professional who has worked in Fortune500 Firms like NASDAQ , BlackRock, etc. Unlike most job search books that are written by recruiters or professors, this book is written by a senior 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. 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. This book includes: Data Science interview questions and answers; Help preparing for Machine Learning Interviews; Top 25 Interview Questions for Data Analyst/Scientist roles; An in-depth overview of Data Science Interview Process; How to ace your interview even if you are an Entry level Data Analyst / Data Scientist; Data Science Interview questions for freshers; How and Where to look for jobs; and much more!

Book Data Science Interview Questions and Answers You Must Know to Get Your Dream Job

Download or read book Data Science Interview Questions and Answers You Must Know to Get Your Dream Job written by Alexander K. Flint and published by Createspace Independent Publishing Platform. This book was released on 2018-03-13 with total page 60 pages. Available in PDF, EPUB and Kindle. Book excerpt: I am glad you have been invited for your data science Job Interview. You are closer to your job. But before you go for that data Science interview, get this book, practice the questions, know the answers and get your Data Science Dream Job. Data Science has become the air that many organizations, companies and institutions in the 21st Century use for breathing. There is hardly any organization in the world that does not require the services of a data scientist. As a result, the demand for data scientists around the world is ever-increasing in a surprising proportion. Due to this hot demand, many of the companies have given data scientists job in the past. We have compiled Data Science Questions all these companies, institutions, and jobs would asked you. Indeed, this is a data science interviews exposed. In this book, you would find: How to prepare for your data science interview questions Common data science tools that you need for your Job Interview Answers for your Data Science Job Interview, etc. To get prepared for your data science dream job, press the buy with 1-click button now.

Book Be the Outlier

    Book Details:
  • Author : Shrilata Murthy
  • Publisher :
  • Release : 2020-07-27
  • ISBN : 9781641379854
  • Pages : 212 pages

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.

Book The Dirty Little Secrets of Getting Your Dream Job

Download or read book The Dirty Little Secrets of Getting Your Dream Job written by Don Raskin and published by Simon and Schuster. This book was released on 2016-04-05 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Drawing on his extensive experience evaluating applicants for his marketing agency, and featuring stories based on real-life situations, sample cover letters, resumes, and straightforward advice, Don Raskin's The Dirty Little Secrets of Getting Your Dream Job offers all the necessary tools for navigating the tough job market and securing your dream job. Based on his remarkable expertise, Raskin's book provides exclusive insight into the job search process and lets readers in on all of the dirty little secrets to finding career success.

Book Data Science   Dream Job

Download or read book Data Science Dream Job written by Lara Baytol and published by Collections Canada. This book was released on 2024-03-18 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Interviews, Land Your Dream Job, Excel in Your Career! Introducing: "Data Science & Dream Job: Unlock you interview Triumph 300+ Proven Tips To Land Your Dream Job" a comprehensive guide to claim your place in the data science realm. This book opens up a treasure of insights, tips and tricks guiding you through the intricacies of landing your dream job in this booming field of science. Whether you're an aspiring data scientist or an experienced professional aiming to advance your career, this book serves as your guide through the competitive terrain of data science. ◆Features of Data Science & Dream Job: Comprehensive Overview: This book gives a comprehensive overview of the data science landscape, understanding its evolution and the pivotal skills required for success. Robust Toolkit: 300+ tips will equip you with essential technical and soft skills crucial for excelling in data science. From mastering programming languages, data manipulation and analysis tools, communication, to honing problem-solving ability. Crafting the Perfect Resume and Cover Letter: You will learn how to encapsulate your expertise in a captivating manner to impress hiring managers. You will learn to tailor your resume for data science roles. Interview Preparation: Be prepared for the interview process with understanding different types of interviews, including technical and behavioural interviews. You will prepare for common interview questions. This section will transform you into a confident candidate. Real-World Case Studies: This is not just a theory book but it also explores real-world case studies that offer insights into successful data science interviews and projects, providing tangible examples to learn from. Negotiation Techniques: This chapter will ensure that you master negotiation techniques to secure your dream job on terms that celebrate your worth. Career Growth: Prepare for continuous learning and career growth beyond the interview stage, setting the foundation for a thriving career in data science. ◆How will Data Science & Dream Job will help you? Confidence Booster: You will gain confidence in your data science skills and interview preparation, knowing you're equipped with comprehensive latest knowledge and insights. Career Advancement: Whether you're starting your data science journey or aiming to climb the career ladder, this book provides the necessary guidance to advance your career. Practical Guidance: Without practical tips you cannot excel in any field, thus the book includes practical advice backed by real-world examples, ensuring that you're prepared for the challenges and opportunities in the data science realm. Personalized Approach: You will be able to tailor your approach to resume crafting, interview preparation, and negotiation techniques, ensuring that you stand out as a candidate. Grab your copy to lay the groundwork for long-term success in data science, with strategies to navigate challenges and embrace opportunities throughout your career. ✓Your Pathway to Success in the Data-Driven World starts Now!

Book How To Land A Data Scientist Role In Tech

Download or read book How To Land A Data Scientist Role In Tech written by Greg M Patrick and published by Independently Published. This book was released on 2023-08-23 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: How to land A Data Scientist Role In Tech: Your Journey to Mastering Data Science and Securing Your Dream Role in Tech Are you ready to unravel the power hidden within data, transform insights into innovations, and shape the digital world through analytics? If you're determined to dive into the realm of data science and secure a coveted role in the tech industry, look no further - "How to land a Data Scientist Role In Tech" is your ultimate guide to becoming a proficient Data Scientist! Unleash Your Data Science Journey

Book Build a Career in Data Science

Download or read book Build a Career in Data Science written by Emily Robinson and published by Manning Publications. This book was released on 2020-03-24 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

Book 6 Figures in 60 Days

Download or read book 6 Figures in 60 Days written by Jay Ford and published by Trap Door Publishing. This book was released on with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: 6 Figures in 60 Days is the top strategy guide to help you find a job in data as a Data Engineer, Data Analyst, or Data Scientist. In this guide you'll learn how to create a strategy, actually get interviews at your dream companies, and how to succeed in the interview and get a job offer. Data Scientists have used these proven methods to get job offers paying over $200,000 per year at companies like Google, Facebook, Uber, Airbnb, Netflix, and many more. Whether you're a new graduate or someone looking for a career change (and to get paid what you're worth), this guide is for you.

Book Programming Interviews Exposed

Download or read book Programming Interviews Exposed written by John Mongan and published by John Wiley & Sons. This book was released on 2011-08-10 with total page 303 pages. Available in PDF, EPUB and Kindle. Book excerpt: The pressure is on during the interview process but with the right preparation, you can walk away with your dream job. This classic book uncovers what interviews are really like at America's top software and computer companies and provides you with the tools to succeed in any situation. The authors take you step-by-step through new problems and complex brainteasers they were asked during recent technical interviews. 50 interview scenarios are presented along with in-depth analysis of the possible solutions. The problem-solving process is clearly illustrated so you'll be able to easily apply what you've learned during crunch time. You'll also find expert tips on what questions to ask, how to approach a problem, and how to recover if you become stuck. All of this will help you ace the interview and get the job you want. What you will learn from this book Tips for effectively completing the job application Ways to prepare for the entire programming interview process How to find the kind of programming job that fits you best Strategies for choosing a solution and what your approach says about you How to improve your interviewing skills so that you can respond to any question or situation Techniques for solving knowledge-based problems, logic puzzles, and programming problems Who this book is for This book is for programmers and developers applying for jobs in the software industry or in IT departments of major corporations. Wrox Beginning guides are crafted to make learning programming languages and technologies easier than you think, providing a structured, tutorial format that will guide you through all the techniques involved.

Book Data Science Job

    Book Details:
  • Author : Przemek Chojecki
  • Publisher : Independently Published
  • Release : 2020-01-29
  • ISBN :
  • Pages : 96 pages

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.

Book Most Commonly Asked Data Science Questions and Answers

Download or read book Most Commonly Asked Data Science Questions and Answers written by Morgan Peter and published by Createspace Independent Publishing Platform. This book was released on 2017-09-07 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt: MOST COMMONLY ASKED DATA SCIENCE INTERVIEW QUESTIONS AND ANSWERS Best Data Science Interview Questions and Answers to Ace your Data Science Interview and Get your Data Scientist Job Data Science is one of the most lucrative job which you can earn six figures and build a career on, but it is also not an easy field to get into, Apart from the required qualification in mathematics/statistics or engineering, a data scientist would also require necessary training as well as be able to answer data science interview questions and answers These data scientist job interview questions and answers will allow you to be confident when you are going for a data scientist interview so as to impress potential employers by being able to master data science as well as being able to show how data science can be practically applied in the society The data interview questions and answers shown in this book are the top and most commonly asked data science questions and answers ensuring that you pass your data science job and come out in flying colour Order this Book Today and get your dream job

Book Generative Deep Learning

Download or read book Generative Deep Learning written by David Foster and published by "O'Reilly Media, Inc.". This book was released on 2019-06-28 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Generative modeling is one of the hottest topics in AI. It’s now possible to teach a machine to excel at human endeavors such as painting, writing, and composing music. With this practical book, machine-learning engineers and data scientists will discover how to re-create some of the most impressive examples of generative deep learning models, such as variational autoencoders,generative adversarial networks (GANs), encoder-decoder models and world models. Author David Foster demonstrates the inner workings of each technique, starting with the basics of deep learning before advancing to some of the most cutting-edge algorithms in the field. Through tips and tricks, you’ll understand how to make your models learn more efficiently and become more creative. Discover how variational autoencoders can change facial expressions in photos Build practical GAN examples from scratch, including CycleGAN for style transfer and MuseGAN for music generation Create recurrent generative models for text generation and learn how to improve the models using attention Understand how generative models can help agents to accomplish tasks within a reinforcement learning setting Explore the architecture of the Transformer (BERT, GPT-2) and image generation models such as ProGAN and StyleGAN

Book Presentation Zen

Download or read book Presentation Zen written by Garr Reynolds and published by Pearson Education. This book was released on 2009-04-15 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: FOREWORD BY GUY KAWASAKI Presentation designer and internationally acclaimed communications expert Garr Reynolds, creator of the most popular Web site on presentation design and delivery on the Net — presentationzen.com — shares his experience in a provocative mix of illumination, inspiration, education, and guidance that will change the way you think about making presentations with PowerPoint or Keynote. Presentation Zen challenges the conventional wisdom of making "slide presentations" in today’s world and encourages you to think differently and more creatively about the preparation, design, and delivery of your presentations. Garr shares lessons and perspectives that draw upon practical advice from the fields of communication and business. Combining solid principles of design with the tenets of Zen simplicity, this book will help you along the path to simpler, more effective presentations.

Book The First 20 Hours

    Book Details:
  • Author : Josh Kaufman
  • Publisher : Penguin
  • Release : 2013-06-13
  • ISBN : 1101623047
  • Pages : 290 pages

Download or read book The First 20 Hours written by Josh Kaufman and published by Penguin. This book was released on 2013-06-13 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: Forget the 10,000 hour rule— what if it’s possible to learn the basics of any new skill in 20 hours or less? Take a moment to consider how many things you want to learn to do. What’s on your list? What’s holding you back from getting started? Are you worried about the time and effort it takes to acquire new skills—time you don’t have and effort you can’t spare? Research suggests it takes 10,000 hours to develop a new skill. In this nonstop world when will you ever find that much time and energy? To make matters worse, the early hours of prac­ticing something new are always the most frustrating. That’s why it’s difficult to learn how to speak a new language, play an instrument, hit a golf ball, or shoot great photos. It’s so much easier to watch TV or surf the web . . . In The First 20 Hours, Josh Kaufman offers a systematic approach to rapid skill acquisition— how to learn any new skill as quickly as possible. His method shows you how to deconstruct com­plex skills, maximize productive practice, and remove common learning barriers. By complet­ing just 20 hours of focused, deliberate practice you’ll go from knowing absolutely nothing to performing noticeably well. Kaufman personally field-tested the meth­ods in this book. You’ll have a front row seat as he develops a personal yoga practice, writes his own web-based computer programs, teaches himself to touch type on a nonstandard key­board, explores the oldest and most complex board game in history, picks up the ukulele, and learns how to windsurf. Here are a few of the sim­ple techniques he teaches: Define your target performance level: Fig­ure out what your desired level of skill looks like, what you’re trying to achieve, and what you’ll be able to do when you’re done. The more specific, the better. Deconstruct the skill: Most of the things we think of as skills are actually bundles of smaller subskills. If you break down the subcompo­nents, it’s easier to figure out which ones are most important and practice those first. Eliminate barriers to practice: Removing common distractions and unnecessary effort makes it much easier to sit down and focus on deliberate practice. Create fast feedback loops: Getting accu­rate, real-time information about how well you’re performing during practice makes it much easier to improve. Whether you want to paint a portrait, launch a start-up, fly an airplane, or juggle flaming chain­saws, The First 20 Hours will help you pick up the basics of any skill in record time . . . and have more fun along the way.

Book The Data Science Design Manual

Download or read book The Data Science Design Manual written by Steven S. Skiena and published by Springer. This book was released on 2017-07-01 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt: This engaging and clearly written textbook/reference provides a must-have introduction to the rapidly emerging interdisciplinary field of data science. It focuses on the principles fundamental to becoming a good data scientist and the key skills needed to build systems for collecting, analyzing, and interpreting data. The Data Science Design Manual is a source of practical insights that highlights what really matters in analyzing data, and provides an intuitive understanding of how these core concepts can be used. The book does not emphasize any particular programming language or suite of data-analysis tools, focusing instead on high-level discussion of important design principles. This easy-to-read text ideally serves the needs of undergraduate and early graduate students embarking on an “Introduction to Data Science” course. It reveals how this discipline sits at the intersection of statistics, computer science, and machine learning, with a distinct heft and character of its own. Practitioners in these and related fields will find this book perfect for self-study as well. Additional learning tools: Contains “War Stories,” offering perspectives on how data science applies in the real world Includes “Homework Problems,” providing a wide range of exercises and projects for self-study Provides a complete set of lecture slides and online video lectures at www.data-manual.com Provides “Take-Home Lessons,” emphasizing the big-picture concepts to learn from each chapter Recommends exciting “Kaggle Challenges” from the online platform Kaggle Highlights “False Starts,” revealing the subtle reasons why certain approaches fail Offers examples taken from the data science television show “The Quant Shop” (www.quant-shop.com)