Download or read book Exploring Data Processing Careers written by Harry W. Baggett and published by South-Western Pub. This book was released on 1975 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discusses the various jobs available in data processing and how to prepare for them.

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

Download or read book Careers in Computers Third Edition written by Lila B. Stair and published by McGraw Hill Professional. This book was released on 2002-04-22 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert guidance on exploring and choosing a career in computers Ideal if you are a college-bound student or are thinking about making a career change, Careers in Computers offers necessary information needed to explore the profession and then narrow it down to a job that suits you. It details the responsibilities, education and training required, and employment outlooks for dozens of satisfying careers in the computer field.

Download or read book Exploring Data An Introduction to Data Analysis for Social Scientists written by Jane; Marsh Elliott (Catherine) and published by Polity. This book was released on 2009 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Careers in Computers and Data Processing written by Herman McDaniel and published by . This book was released on 1978 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides an overview of the data processing industry and describes more than fifty career possibilities from special librarian to systems analyst.

Download or read book Careers in Computers Third Edition written by Lila B. Stair and published by McGraw Hill Professional. This book was released on 2002-03-27 with total page 164 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert guidance on exploring and choosing a career in computers Ideal if you are a college-bound student or are thinking about making a career change, Careers in Computers offers necessary information needed to explore the profession and then narrow it down to a job that suits you. It details the responsibilities, education and training required, and employment outlooks for dozens of satisfying careers in the computer field.

Download or read book Opportunities in Data Processing Careers written by Norman N. Noerper and published by VGM Career Books. This book was released on 1984 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a history of the field, discusses jobs in business systems, jobs with vendors, and jobs in scientific applications, and advises on education and job-seeking.

Download or read book Occupational Outlook Quarterly written by and published by . This book was released on 1980 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Careers in the Computer Field written by Joseph Weintraub and published by Rosen Publishing Group. This book was released on 1993-01-01 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Examines the opportunities available in the computer field today, from data processing to sales, and includes comprehensive information on educational requirements and advice on getting a job

Download or read book Catalog of Copyright Entries Third Series written by Library of Congress. Copyright Office and published by Copyright Office, Library of Congress. This book was released on 1977 with total page 1482 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Careers in Computers written by Lila B. Stair and published by VGM Career Books. This book was released on 1996 with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert guidance on exploring and choosing a career in computers Ideal if you are a college-bound student or are thinking about making a career change, "Careers in Computers" offers necessary information needed to explore the profession and then narrow it down to a job that suits you. It details the responsibilities, education and training required, and employment outlooks for dozens of satisfying careers in the computer field.

Download or read book Opportunities in Data and Word Processing Careers written by Marianne Munday and published by Opportunities in ... (Paperbac. This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Opportunities In Data and Word Processing Careers" offers job seekers essential information about a variety of careers within the field of data processing and includes training and education requirements, salary statistics, and professional and Internet resources.

Download or read book Exploring Careers in the Computer Field written by Joseph Weintraub and published by . This book was released on 1990 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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 96 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 The Balance Sheet written by and published by . This book was released on 1979 with total page 766 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Practical Data Science with Jupyter written by Prateek Gupta and published by BPB Publications. This book was released on 2021-03-01 with total page 437 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solve business problems with data-driven techniques and easy-to-follow Python examples Ê KEY FEATURESÊÊ _ Essential coverage on statistics and data science techniques. _ Exposure to Jupyter, PyCharm, and use of GitHub. _ Real use-cases, best practices, and smart techniques on the use of data science for data applications. DESCRIPTIONÊÊ This book begins with an introduction to Data Science followed by the Python concepts. The readers will understand how to interact with various database and Statistics concepts with their Python implementations. You will learn how to import various types of data in Python, which is the first step of the data analysis process. Once you become comfortable with data importing, you willÊ clean the dataset and after that will gain an understanding about various visualization charts. This book focuses on how to apply feature engineering techniques to make your data more valuable to an algorithm. The readers will get to know various Machine Learning Algorithms, concepts, Time Series data, and a few real-world case studies. This book also presents some best practices that will help you to be industry-ready. This book focuses on how to practice data science techniques while learning their concepts using Python and Jupyter. This book is a complete answer to the most common question that how can you get started with Data Science instead of explaining Mathematics and Statistics behind the Machine Learning Algorithms. WHAT YOU WILL LEARN _ Rapid understanding of Python concepts for data science applications. _ Understand and practice how to run data analysis with data science techniques and algorithms. _ Learn feature engineering, dealing with different datasets, and most trending machine learning algorithms. _ Become self-sufficient to perform data science tasks with the best tools and techniques. Ê WHO THIS BOOK IS FORÊÊ This book is for a beginner or an experienced professional who is thinking about a career or a career switch to Data Science. Each chapter contains easy-to-follow Python examples. Ê TABLE OF CONTENTS 1. Data Science Fundamentals 2. Installing Software and System Setup 3. Lists and Dictionaries 4. Package, Function, and Loop 5. NumPy Foundation 6. Pandas and DataFrame 7. Interacting with Databases 8. Thinking Statistically in Data Science 9. How to Import Data in Python? 10. Cleaning of Imported Data 11. Data Visualization 12. Data Pre-processing 13. Supervised Machine Learning 14. Unsupervised Machine Learning 15. Handling Time-Series Data 16. Time-Series Methods 17. Case Study-1 18. Case Study-2 19. Case Study-3 20. Case Study-4 21. Python Virtual Environment 22. Introduction to An Advanced Algorithm - CatBoost 23. Revision of All ChaptersÕ Learning

Download or read book Becoming a Data Engineer written by Laura La Bella and published by The Rosen Publishing Group, Inc. This book was released on 2017-07-15 with total page 82 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data is a dynamic field that finds businesses and organizations capturing massive amounts of information at an alarming speed � all of which will be analyzed and used to help make important decisions. A data engineer creates the massive reservoirs needed to collect big data. These IT professionals develop, construct, test, and maintain architectures, such as databases and large-scale data processing systems, which house big data. In this title, the emerging career field of a data engineer is explored. With the right mix of education and experience, data engineers can find themselves in high demand.