Search Results: 'Data Science'


926 results for "Data Science"
Executive Data Science By Roger Peng
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In this concise book you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash... More > course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.< Less
The Art of Data Science By Roger Peng & Elizabeth Matsui
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This book describes, simply and in general terms, the process of analyzing data. The authors have extensive experience both managing data analysts and conducting their own data analyses, and have... More > carefully observed what produces coherent results and what fails to produce useful insights into data. This book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.< Less
R Programming for Data Science By Roger Peng
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Data science has taken the world by storm. Every field of study and area of business has been affected as people increasingly realize the value of the incredible quantities of data being generated.... More > But to extract value from those data, one needs to be trained in the proper data science skills. The R programming language has become the de facto programming language for data science. Its flexibility, power, sophistication, and expressiveness have made it an invaluable tool for data scientists around the world. This book is about the fundamentals of R programming. You will get started with the basics of the language, learn how to manipulate datasets, how to write functions, and how to debug and optimize code. With the fundamentals provided in this book, you will have a solid foundation on which to build your data science toolbox.< Less
Data Science Course By ritu malhotra
eBook (PDF): $8.99
Triad Square Infosec Pvt Ltd, specially designed most trend courses like Machine learning, Data science with python and artificial Intelligence courses. We provide more courses with industry experts.... More > We offer Online and classroom classes situated in Bangalore.< Less
Mean Essentials for Data Science By Girijesh Pathak
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This book is an easy-to-read book and can be enjoyed by anyone who likes understanding nuances of simple things. Topics in this book have been chosen through an extensive research in interest groups... More > related to Data Science, Artificial Intelligence, Mathematics etc. This book is a must read to set a right learning strategy to correct some of the disturbing trends that emerged through the research. For example, 83% of the respondents answered below question on average wrong. A person drives from City A to City B at a speed of 100 Km/hr and drives back on the same route at 80 Km/hr. What was his overall average speed? a) 90 Km/hr, b) less than 90 Km/hr, c) more than 90 Km/hr, d) need distance between cities to compute the average. Options a and d are the top two opted answers. Both are wrong. Such problems at the basic level are extremely harmful in application-oriented specializations like Data Science. The intuitive approach in this book builds learning strategy to keep the base strong.< Less
Data Science Course By Expert Digi
eBook (PDF): $8.99
Unlimited opportunities are waiting ahead, in fact are just a click away. Excelr is catering best Data Science Certification in Pune and making the future even brighter of many. Learn with experts... More > with full time support and Lifetime access to all the classes even if u have missed any we provide live session. Faculty from, Alumni of IIT, IIM, ISB, PhD qualified with placement assistance.< Less
JavaScript versus Data Science By Greg Wilson & Toby Hodges
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An introduction to JavaScript for scientists, engineers, digital humanists, librarians, and anyone else who just wants to get on with their research.
Data Science Training | Data Science Courses | Python Courses By Annika Trivedi
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IIHT's Data Science Training with Python Course will leads to learn the Data Specialization . By this Data Science Courseswith Python Training Students will also gain expertise working with data set... More > using R/Python, web scrapping, test mining and analysis, choosing statistical tools for text analysis . Call us at : 18001233215 ( Toll Free )< Less
Data Science and Analytics for Ordinary People By Jeffrey Strickland
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Data Science and Analytics for Ordinary People is a collection of blogs I have written on LinkedIn over the past year. As I continue to perform big data analytics, I continue to discover, not only my... More > weaknesses in communicating the information, but new insights into using the information obtained from analytics and communicating it. These are the kinds of things I blog about and are contained herein. Data science and analytics have been used as synonyms on occasion. In reality data science includes data modeling, data mining, data analysis, database architecture and so on. Analytics is what we do to make sense of the data. That is, we take data and turn it into information for business decision makers. This our course implies that we translate our data science jargon into English.< Less
Report Writing for Data Science in R By Roger Peng
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This book teaches the concepts and tools behind reporting modern data analyses in a reproducible manner. Reproducibility is the idea that data analyses should be published or made available with... More > their data and software code so that others may verify the findings and build upon them. The need for reproducible report writing is increasing dramatically as data analyses become more complex, involving larger datasets and more sophisticated computations. Reproducibility allows for people to focus on the actual content of a data analysis, rather than on superficial details reported in a written summary. In addition, reproducibility makes an analysis more useful to others because the data and code that actually conducted the analysis are available. This book will focus on literate statistical analysis tools which allow one to publish data analyses in a single document that allows others to easily execute the same analysis to obtain the same results.< Less

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