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Author: Kirill Eremenko
Publisher: Kogan Page Publishers
ISBN: 0749481552
Category : Computers
Languages : en
Pages : 272
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Book Description
Data has dramatically changed how our world works. From entertainment to politics, from technology to advertising and from science to the business world, understanding and using data is now one of the most transferable and transferable skills out there. Learning how to work with data may seem intimidating or difficult but with Confident Data Skills you will be able to master the fundamentals and supercharge your professional abilities. This essential book covers data mining, preparing data, analysing data, communicating data, financial modelling, visualizing insights and presenting data through film making and dynamic simulations. In-depth international case studies from a wide range of organizations, including Netflix, LinkedIn, Goodreads, Deep Blue, Alpha Go and Mike's Hard Lemonade Co. show successful data techniques in practice and inspire you to turn knowledge into innovation. Confident Data Skills also provides insightful guidance on how you can use data skills to enhance your employability and improve how your industry or company works through your data skills. Expert author and instructor, Kirill Eremenko, is committed to making the complex simple and inspiring you to have the confidence to develop an understanding, adeptness and love of data.
Author: Kirill Eremenko
Publisher: Kogan Page Publishers
ISBN: 0749481552
Category : Computers
Languages : en
Pages : 272
Get Book Here
Book Description
Data has dramatically changed how our world works. From entertainment to politics, from technology to advertising and from science to the business world, understanding and using data is now one of the most transferable and transferable skills out there. Learning how to work with data may seem intimidating or difficult but with Confident Data Skills you will be able to master the fundamentals and supercharge your professional abilities. This essential book covers data mining, preparing data, analysing data, communicating data, financial modelling, visualizing insights and presenting data through film making and dynamic simulations. In-depth international case studies from a wide range of organizations, including Netflix, LinkedIn, Goodreads, Deep Blue, Alpha Go and Mike's Hard Lemonade Co. show successful data techniques in practice and inspire you to turn knowledge into innovation. Confident Data Skills also provides insightful guidance on how you can use data skills to enhance your employability and improve how your industry or company works through your data skills. Expert author and instructor, Kirill Eremenko, is committed to making the complex simple and inspiring you to have the confidence to develop an understanding, adeptness and love of data.
Author: Kirill Eremenko
Publisher: Kogan Page Publishers
ISBN: 178966439X
Category : Business & Economics
Languages : en
Pages : 321
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Book Description
Data has dramatically changed how our world works. Understanding and using data is now one of the most transferable and desirable skills. Whether you're an entrepreneur wanting to boost your business, a jobseeker looking for that employable edge, or simply hoping to make the most of your current career, Confident Data Skills is here to help. This updated second edition takes you through the basics of data: from data mining and preparing and analysing your data, to visualizing and communicating your insights. It now contains exciting new content on neural networks and deep learning. Featuring in-depth international case studies from companies including Amazon, LinkedIn and Mike's Hard Lemonade Co, as well as easy-to understand language and inspiring advice and guidance, Confident Data Skills will help you use your new-found data skills to give your career that cutting-edge boost. About the Confident series... From coding and web design to data, digital content and cyber security, the Confident books are the perfect beginner's resource for enhancing your professional life, whatever your career path.
Author: Kirill Eremenko
Publisher: Kogan Page
ISBN: 9781789664386
Category : BUSINESS & ECONOMICS
Languages : en
Pages : 0
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Book Description
Understand the basics of data - how to collect, analyse, present and apply it - and give your career a valuable, cutting-edge boost with this engaging and easy-to-read beginner's guide.
Author: Rob Percival
Publisher: Kogan Page Publishers
ISBN: 1789663091
Category : Computers
Languages : en
Pages : 337
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Book Description
BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category (1st edition) Coding is one of the most in-demand skills in the job market. Whether you're an entrepreneur, a recent graduate or a professional, you can supercharge your career simply by grasping the fundamentals, and Confident Coding is here to help. This new and improved second edition of the award-winning book gives you a step-by-step learning guide to HTML, CSS, JavaScript, Python, building iPhone and Android apps and debugging. For entrepreneurs, being able to create your own website or app can grant you valuable freedom and revolutionize your business. For aspiring developers, this book will give you the building blocks to embark on your career path. For working professionals, coding skills can add a valuable edge to your CV. Whatever your professional profile, if you want to master the fundamentals of coding and kick start your career, Confident Coding is the book for you. About the Confident series... From coding and web design to data, digital content and cyber security, the Confident books are the perfect beginner's resource for enhancing your professional life, whatever your career path.
Author: Dr Jessica Barker
Publisher:
ISBN: 9781789663426
Category :
Languages : en
Pages : 272
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Book Description
Understand the basic principles of cyber security and futureproof your career with this easy-to-understand, jargon-busting beginner's guide to the human, technical, and physical skills you need.
Author: Lisa M. Schab
Publisher: New Harbinger Publications
ISBN: 1608824780
Category : Juvenile Nonfiction
Languages : en
Pages : 186
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Book Description
Self-assured, assertive kids are not only less likely to be picked on by their peers, they're also less likely to bully others. But it's not always easy for children to find a healthy middle ground between passivity and aggression. If your child is a frequent target for bullies, or has begun to tease and take advantage of other kids, the easy and effective activities in Cool, Calm, and Confident can help. These simple exercises help children stand up for themselves without coming across as aggressive, learn to be both kind and assertive, and develop self-confidence and a positive self-image. Using this workbook is an easy and effective way to instill self-esteem in both passive and aggressive children-a strength that will prove invaluable in childhood, in their teenage years, and throughout their lives. Help children to: Learn the difference between passive, aggressive, and assertive behavior; behave in ways that discourage teasing; understand their rights and stand up for themselves; stay calm and learn skills for managing anger; and make real and lasting friendships.
Author: Don A. Moore
Publisher: HarperCollins
ISBN: 0062887777
Category : Business & Economics
Languages : en
Pages : 260
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Book Description
An expert on the psychology of decision making at Berkeley’s Haas School of Business helps readers calibrate their confidence, arguing that some confidence is good, but overconfidence can hinder growth. A surge of confidence can feel fantastic—offering a rush of energy, even a dazzling vision of the future. It can give us courage and bolster our determination when facing adversity. But if that self-assurance leads us to pursue impossible goals, it can waste time, money, and energy. Self-help books and motivational speakers tell us that the more confident we are, the better. But this way of thinking can lead to enormous trouble. Decades of research demonstrates that we often have an over-inflated sense of self and are rarely as good as we believe. Perfectly Confident is the first book to bring together the best psychological and economic studies to explain exactly what confidence is, when it can be helpful, and when it can be destructive in our lives. Confidence is an attitude that takes into account both personal feelings and the facts. Don Moore identifies the ways confidence behaves in real life and raises thought-provoking questions. How optimistic should you be about an uncertain future? What justifies your confidence in something amorphous and subjective like your attractiveness or sense of humor? Moore reminds us that the key to success is to avoid being both over- and under-confident. In this essential guide, he shows how to become perfectly confident—how to strive for and maintain the well-calibrated, adaptive confidence that can elevate all areas of our lives.
Author: Emily Robinson
Publisher: Manning
ISBN: 1617296244
Category : Computers
Languages : en
Pages : 352
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Book Description
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
Author: Kenny Wood
Publisher: Kogan Page Publishers
ISBN: 1789663466
Category : Business & Economics
Languages : en
Pages : 313
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Book Description
Do you need a website to support your freelance business or entrepreneurial venture? Or are you considering a career in web design? Maybe you're looking for your next career pivot, or you're simply seeking skills to give your CV that competitive edge? Wherever you are in your career, Confident Web Design can help. The ultimate beginner's guide to designing, building and publishing basic websites, this book features exclusive online exercises to help you practice your new skills in context. Covering the basics of HTML, CSS and JavaScript, as well as giving you a thorough grounding in the real-life application of these principles, this book provides helpful examples, explanations of technical terms, and clear, easy-to-understand language - meaning your first website is only a few chapters away. Taking you on a practical journey to publish a basic website from scratch, the book's structure is designed to break down each skill into manageable chunks. Wherever you are in your career, let Confident Web Design give you that cutting edge with vital programming and design skills. About the Confident series... From coding and web design to data, digital content and cyber security, the Confident books are the perfect beginner's resource for enhancing your professional life, whatever your career path.
Author: Michael Freeman
Publisher: Addison-Wesley Professional
ISBN: 9780135133101
Category : Application software
Languages : en
Pages : 384
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Book Description
The Foundational Hands-On Skills You Need to Dive into Data Science "Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills." -From the foreword by Jared Lander, series editor Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get started, even if you have no programming or data science experience. Leading instructors Michael Freeman and Joel Ross guide you through installing and configuring the tools you need to solve professional-level data science problems, including the widely used R language and Git version-control system. They explain how to wrangle your data into a form where it can be easily used, analyzed, and visualized so others can see the patterns you've uncovered. Step by step, you'll master powerful R programming techniques and troubleshooting skills for probing data in new ways, and at larger scales. Freeman and Ross teach through practical examples and exercises that can be combined into complete data science projects. Everything's focused on real-world application, so you can quickly start analyzing your own data and getting answers you can act upon. Learn to Install your complete data science environment, including R and RStudio Manage projects efficiently, from version tracking to documentation Host, manage, and collaborate on data science projects with GitHub Master R language fundamentals: syntax, programming concepts, and data structures Load, format, explore, and restructure data for successful analysis Interact with databases and web APIs Master key principles for visualizing data accurately and intuitively Produce engaging, interactive visualizations with ggplot and other R packages Transform analyses into sharable documents and sites with R Markdown Create interactive web data science applications with Shiny Collaborate smoothly as part of a data science team Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
