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The quant job market has never been tougher. Extensive preparation is essential. Expanding on the successful first edition, this second edition has been updated to reflect the latest questions asked. It now provides over 300 interview questions taken from actual interviews in the City and Wall Street. Each question comes with a full detailed solution, discussion of what the interviewer is seeking and possible follow-up questions. Topics covered include option pricing, probability, mathematics, numerical algorithms and C++, as well as a discussion of the interview process and the non-technical interview. All three authors have worked as quants and they have done many interviews from both sides of the desk. Mark Joshi has written many papers and books including the very successful introductory textbook, "The Concepts and Practice of Mathematical Finance."
Formative Assessment, Learning Data Analytics and Gamification: An ICT Education discusses the challenges associated with assessing student progress given the explosion of e-learning environments, such as MOOCs and online courses that incorporate activities such as design and modeling. This book shows educators how to effectively garner intelligent data from online educational environments that combine assessment and gamification. This data, when used effectively, can have a positive impact on learning environments and be used for building learner profiles, community building, and as a tactic to create a collaborative team. Using numerous illustrative examples and theoretical and practical results, leading international experts discuss application of automatic techniques for e-assessment of learning activities, methods to collect, analyze, and correctly visualize learning data in educational environments, applications, benefits and challenges of using gamification techniques in academic contexts, and solutions and strategies for increasing student participation and performance. - Discusses application of automatic techniques for e-assessment of learning activities - Presents strategies to provide immediate and useful feedback on students' activities - Provides methods to collect, analyze, and correctly visualize learning data in educational environments - Explains the applications, benefits, and challenges of using gamification techniques in academic contexts - Offers solutions to increase students' participation and performance while lowering drop-out rates and retention levels
With Critical Thinking for Strategic Intelligence, Katherine Hibbs Pherson and Randolph H. Pherson have updated their highly regarded, easy-to-use handbook for developing core critical thinking skills and analytic techniques. This indispensable text is framed around 20 key questions that all analysts must ask themselves as they prepare to conduct research, generate hypotheses, evaluate sources of information, draft papers, and ultimately present analysis, including: How do I get started? Where is the information I need? What is my argument? How do I convey my message effectively? The Third Edition includes suggested best practices for dealing with digital disinformation, politicization, and AI. Drawing upon their years of teaching and analytic experience, Pherson and Pherson provide a useful introduction to skills that are essential within the intelligence community.
The only all-in-one exam preparation resource for aspiring behavior analysts This indispensable guide, written by noted experts, delivers the knowledge required to successfully pass this difficult certification exam. It includes research-based recommendations for preparing for the exam, a comprehensive yet succinct review of the Behavior Analyst Certification Board's (BACB) Fifth Edition of the Task List items, and requisite information about the certification process. This comprehensive study aid addresses philosophical underpinnings; concepts and principles; measurement, data display, and interpretation; experimental design; ethics; behavior assessment; behavior-change procedures; selecting and implementing interventions; and personnel supervision and management. Each chapter covers everything you need to know to pass the exam and includes end-of-chapter questions to check your knowledge. The review concludes with a full-length practice test to get you ready for exam day. With 370 practice questions, detailed review content and answer rationales, this study aid empowers you with the tools and materials to study your way and the confidence to pass the first time, guaranteed! Know that you're ready. Know that you'll pass with Springer Publishing Exam Prep. Key Features: Reflects the latest exam content outline Provides a comprehensive yet concise review of essential knowledge for the exam Complete coverage of the BACB's Fifth Edition Task List items Research-based strategies for exam success Resources for further learning and professional development Includes end-of-chapter Q&A and two full-length practice tests with detailed rationales Boosts your confidence with a 100% pass guarantee For 70 years, it has been our greatest privilege to prepare busy practitioners like you for professional certification and career success. Congratulations on qualifying to sit for the exam. Now let's get you ready to pass! Board Certified Behavior Analyst® is a registered trademark of the Behavior Analyst Certification Board®. The Behavior Analyst Certification Board does not sponsor or endorse this resource, nor does it have a proprietary relationship with Springer Publishing.
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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
Research in the domains of learning analytics and educational data mining has prototyped an approach where methodologies from data science and machine learning are used to gain insights into the learning process by using large amounts of data. As many training and academic institutions are maturing in their data-driven decision making, useful, scalable, and interesting trends are emerging. Organizations can benefit from sharing information on those efforts. Applying Data Science and Learning Analytics Throughout a Learner’s Lifespan examines novel and emerging applications of data science and sister disciplines for gaining insights from data to inform interventions into learners’ journeys and interactions with academic institutions. Data is collected at various times and places throughout a learner’s lifecycle, and the learners and the institution should benefit from the insights and knowledge gained from this data. Covering topics such as learning analytics dashboards, text network analysis, and employment recruitment, this book is an indispensable resource for educators, computer scientists, faculty of higher education, government officials, educational administration, students of higher education, pre-service teachers, business professionals, researchers, and academicians.