Exploring Data Processing Careers PDF Download

Author: Harry W. Baggett
Publisher: South-Western Pub
ISBN: 9780538252300
Category : Computers
Languages : en
Pages : 164

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Book Description
Discusses the various jobs available in data processing and how to prepare for them.

Author: Library of Congress. Copyright Office
Publisher: Copyright Office, Library of Congress
ISBN:
Category : Copyright
Languages : en
Pages : 1482

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Author: Jane; Marsh Elliott (Catherine)
Publisher: Polity
ISBN: 0745622836
Category :
Languages : en
Pages : 329

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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:
Publisher:
ISBN:
Category : Occupations
Languages : en
Pages : 304

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Author: Elaine Makas Howard
Publisher: Corwin Press
ISBN: 9780761939719
Category : Education
Languages : en
Pages : 364

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Book Description
Help students be more focused and team-oriented, and become the true drivers of their own learning by centering learning and planning around one of several broad career avenues.

Author: Mark A. Herschberg
Publisher: Cognosco Media LLC
ISBN: 9780960100705
Category : Business & Economics
Languages : en
Pages : 304

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Book Description
Networking, negotiating, communicating, leading, career planning--all skills critical to your career success. But did anyone ever teach you these skills? The Career Toolkit will help you master these vital skills and yield outsized returns for your career and your income. Every chapter is packed with dozens of actionable principles, exercises, and practices that will accelerate your success. It's a multivitamin for your career! The Career Toolkit shows you how to design and execute your personal plan to achieve the career you deserve, including: Negotiating a job offer. (This alone will pay for the book.) Creating a dynamic career strategy. Building a high-value network. Developing the fundamental leadership skills that matter most. Managing teams effectively, even as an individual contributor.

Author: Alexandra Cavoulacos
Publisher:
ISBN: 0451495675
Category : Business & Economics
Languages : en
Pages : 338

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Book Description
"In this definitive guide to the ever-changing modern workplace, Kathryn Minshew and Alexandra Cavoulacos, the co-founders of popular career website TheMuse.com, show how to play the game by the New Rules. The Muse is known for sharp, relevant, and get-to-the-point advice on how to figure out exactly what your values and your skills are and how they best play out in the marketplace. Now Kathryn and Alex have gathered all of that advice and more in The New Rules of Work. Through quick exercises and structured tips, the authors will guide you as you sort through your countless options; communicate who you are and why you are valuable; and stand out from the crowd. The New Rules of Work shows how to choose a perfect career path, land the best job, and wake up feeling excited to go to work every day-- whether you are starting out in your career, looking to move ahead, navigating a mid-career shift, or anywhere in between"--

Author: Wendy L. Martinez
Publisher: CRC Press
ISBN: 1315349841
Category : Mathematics
Languages : en
Pages : 589

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Book Description
Praise for the Second Edition: "The authors present an intuitive and easy-to-read book. ... accompanied by many examples, proposed exercises, good references, and comprehensive appendices that initiate the reader unfamiliar with MATLAB." —Adolfo Alvarez Pinto, International Statistical Review "Practitioners of EDA who use MATLAB will want a copy of this book. ... The authors have done a great service by bringing together so many EDA routines, but their main accomplishment in this dynamic text is providing the understanding and tools to do EDA. —David A Huckaby, MAA Reviews Exploratory Data Analysis (EDA) is an important part of the data analysis process. The methods presented in this text are ones that should be in the toolkit of every data scientist. As computational sophistication has increased and data sets have grown in size and complexity, EDA has become an even more important process for visualizing and summarizing data before making assumptions to generate hypotheses and models. Exploratory Data Analysis with MATLAB, Third Edition presents EDA methods from a computational perspective and uses numerous examples and applications to show how the methods are used in practice. The authors use MATLAB code, pseudo-code, and algorithm descriptions to illustrate the concepts. The MATLAB code for examples, data sets, and the EDA Toolbox are available for download on the book’s website. New to the Third Edition Random projections and estimating local intrinsic dimensionality Deep learning autoencoders and stochastic neighbor embedding Minimum spanning tree and additional cluster validity indices Kernel density estimation Plots for visualizing data distributions, such as beanplots and violin plots A chapter on visualizing categorical data

Author:
Publisher:
ISBN:
Category : Education
Languages : en
Pages : 568

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Book Description
Serves as an index to Eric reports [microform].