A Textbook Of Data Science For Class 9
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A Textbook Of Data Science For Class 9
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Author : Shweta Mittal
language : en
Publisher: Goyal Brothers Prakashan
Release Date : 2021-09-01
A Textbook Of Data Science For Class 9 written by Shweta Mittal and has been published by Goyal Brothers Prakashan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-01 with Juvenile Nonfiction categories.
Data sCIenCe is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data. Data science or data-driven science enables better decision-making, predictive analysis, and pattern discovery. It lets you find the leading cause of a problem by asking the right questions and performing an exploratory study on the data. It models the data using various algorithms and communicates and visualizes the results via graphs, dashboards, etc. This book is based on the latest CBSE syllabus. The book is divided into two sections: Part A and Part B. Part A includes the “Employability Skills” and Part B covers the “Subject-specific Skills”. This book presents the concepts in a very simple language with easy-to-understand examples adapted from day-to-day utilization of Data science technology. The chapters are supplemented with figures and additional information in the form of “DID yoU knoW”. In between the chapters, the students are given a chance to revise and challenge their understanding with the help of “CheCk yoUr knoWleDGe” and fun activities. At the end of every chapter, Multiple Choice Questions, Short and Long answer questions are given. It includes HOTS (Higher Order Thinking Skills) questions and Applied Projects for advanced and practical kinds of questions.
Data Science Class 9
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Author : Shalini Harisukh
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2021-10-11
Data Science Class 9 written by Shalini Harisukh and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-11 with Computers categories.
Data Science is a multidisciplinary field that also interacts with various other technologies like Artificial Intelligence, Machine Learning, Deep Learning, Internet of Things, etc. KEY FEATURES ● National Education Policy 2020 ● Activity: This section contains a topic based practical activity for the students to explore and learn. ● Higher Order Thinking Skills: This section contains the questions that are out of the box and helps the learner to think differently. ● Glossary: This section contains definition of common data science terms. ● Applied Project: This section contains an activity that applies the concepts of the chapter in real-life. ● Digital Solutions DESCRIPTION “Touchpad” Data Science book is designed as per the latest CBSE curriculum with an inter-disciplinary approach towards Mathematics, Statistics and Information Technology. The book inculcates real-life scenarios to explain the concepts and helps the students become better Data Science literates and pursue future endeavours confidently. To enrich the subject, this book contains different types of exercises like Objective Type Questions, Standard Questions and Higher Order Thinking Skills (HOTS). This book also includes Do You Know? and Activity which helps the students to learn and think outside the box. It helps the students to think and not just memorize, at the same time improving their cognitive ability. WHAT WILL YOU LEARN You will learn about: ● Communication Skills ● Self Management Skills ● ICT Skills ● Entrepreneurial Skills ● Green Skills ● Data ● Data Science ● Data Science Ethics ● Data Visualisation WHO THIS BOOK IS FOR Grade 9 TABLE OF CONTENTS 1. Part-A Employability Skills (a) Unit-1 Communication Skills-I (b) Unit-2 Self-Management Skills-I (c) Unit-3 ICT Skills-I (d) Unit-4 Entrepreneurial Skills-I (e) Unit-5 Green Skills-I 2. Part-B Subject Specific Skills (a) Unit-1 Introduction (b) Unit-2 Arranging and Collecting Data (c) Unit-3 Data Visualizations (d) Unit-4 Ethics in Data Science 3. Projects 4. Glossary 5. Model Test Paper
Foundations Of Data Science
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Author : Avrim Blum
language : en
Publisher: Cambridge University Press
Release Date : 2020-01-23
Foundations Of Data Science written by Avrim Blum and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Computers categories.
Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.
R For Data Science
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Author : Hadley Wickham
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-12-12
R For Data Science written by Hadley Wickham and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-12 with Computers categories.
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Introduction To Data Science
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Author : Rafael A. Irizarry
language : en
Publisher: CRC Press
Release Date : 2019-11-12
Introduction To Data Science written by Rafael A. Irizarry and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-12 with Mathematics categories.
Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert. A complete solutions manual is available to registered instructors who require the text for a course.
Encyclopedia Of Data Science And Machine Learning
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Author : Wang, John
language : en
Publisher: IGI Global
Release Date : 2023-01-20
Encyclopedia Of Data Science And Machine Learning written by Wang, John and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Computers categories.
Big data and machine learning are driving the Fourth Industrial Revolution. With the age of big data upon us, we risk drowning in a flood of digital data. Big data has now become a critical part of both the business world and daily life, as the synthesis and synergy of machine learning and big data has enormous potential. Big data and machine learning are projected to not only maximize citizen wealth, but also promote societal health. As big data continues to evolve and the demand for professionals in the field increases, access to the most current information about the concepts, issues, trends, and technologies in this interdisciplinary area is needed. The Encyclopedia of Data Science and Machine Learning examines current, state-of-the-art research in the areas of data science, machine learning, data mining, and more. It provides an international forum for experts within these fields to advance the knowledge and practice in all facets of big data and machine learning, emphasizing emerging theories, principals, models, processes, and applications to inspire and circulate innovative findings into research, business, and communities. Covering topics such as benefit management, recommendation system analysis, and global software development, this expansive reference provides a dynamic resource for data scientists, data analysts, computer scientists, technical managers, corporate executives, students and educators of higher education, government officials, researchers, and academicians.
Python Data Science Handbook
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Author : Jake VanderPlas
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2016-11-21
Python Data Science Handbook written by Jake VanderPlas and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-21 with Computers categories.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools. Working scientists and data crunchers familiar with reading and writing Python code will find this comprehensive desk reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data; visualizing different types of data; and using data to build statistical or machine learning models. Quite simply, this is the must-have reference for scientific computing in Python. With this handbook, you’ll learn how to use: IPython and Jupyter: provide computational environments for data scientists using Python NumPy: includes the ndarray for efficient storage and manipulation of dense data arrays in Python Pandas: features the DataFrame for efficient storage and manipulation of labeled/columnar data in Python Matplotlib: includes capabilities for a flexible range of data visualizations in Python Scikit-Learn: for efficient and clean Python implementations of the most important and established machine learning algorithms
Choosing Chinese Universities
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Author : Alice Y.C. Te
language : en
Publisher: Routledge
Release Date : 2022-10-07
Choosing Chinese Universities written by Alice Y.C. Te and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-07 with Education categories.
This book unpacks the complex dynamics of Hong Kong students’ choice in pursuing undergraduate education at the universities of Mainland China. Drawing on an empirical study based on interviews with 51 students, this book investigates how macro political/economic factors, institutional influences, parental influence, and students’ personal motivations have shaped students’ eventual choice of university. Building on Perna’s integrated model of college choice and Lee’s push-pull mobility model, this book conceptualizes that students’ border crossing from Hong Kong to Mainland China for higher education is a trans-contextualized negotiated choice under the "One Country, Two Systems" principle. The findings reveal that during the decision-making process, influencing factors have conditioned four archetypes of student choice: Pragmatists, Achievers, Averages, and Underachievers. The book closes by proposing an enhanced integrated model of college choice that encompasses both rational motives and sociological factors, and examines the theoretical significance and practical implications of the qualitative study. With its focus on student choice and experiences of studying in China, this book’s research and policy findings will interest researchers, university administrators, school principals, and teachers.
Data Science Class 8
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Author : VK Jain
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2021-10-11
Data Science Class 8 written by VK Jain and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-10-11 with Computers categories.
TAGLINE Data Science is a multidisciplinary field that also interacts with various other technologies like Artificial Intelligence, Machine Learning, Deep Learning, the Internet of Things, etc. KEY FEATURES ● National Education Policy 2020 ● Activity: This section contains a topic based practical activity for the students to explore and learn. ● Higher Order Thinking Skills: This section contains the questions that are out of the box and helps the learner to think differently. ● Glossary: This section contains definition of common data science terms. ● Applied Project: This section contains an activity that applies the concepts of the chapter in real-life. ● Digital Solutions DESCRIPTION “Touchpad” Data Science book is designed as per the latest CBSE curriculum with an inter-disciplinary approach towards Mathematics, Statistics and Information Technology. The book inculcates real-life scenarios to explain the concepts and helps the students become better Data Science literates and pursue future endeavours confidently. To enrich the subject, this book contains different types of exercises like Objective Type Questions, Standard Questions and Higher Order Thinking Skills (HOTS). This book also includes Do You Know? and Activity which helps the students to learn and think outside the box. It helps the students to think and not just memorize, at the same time improving their cognitive ability. WHAT WILL YOU LEARN You will learn about: ● Data ● Data Science ● Data Visualisation ● Data Science and Artificial Intelligence WHO THIS BOOK IS FOR Grade - 8 TABLE OF CONTENTS 1. Introduction to Data 2. Introduction to Data Science 3. Data Visualisation 4. Data Science and Artificial Intelligence 5. Projects 6. Glossary
Data Science Mcq Multiple Choice Questions
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Author : Arshad Iqbal
language : en
Publisher: Bushra Arshad
Release Date :
Data Science Mcq Multiple Choice Questions written by Arshad Iqbal and has been published by Bushra Arshad this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
The Data Science Multiple Choice Questions (MCQ Quiz) with Answers PDF (Data Science MCQ PDF Download): Quiz Questions Chapter 1-15 & Practice Tests with Answer Key (Computer Science Questions Bank, MCQs & Notes) includes revision guide for problem solving with hundreds of solved MCQs. Data Science MCQ with Answers PDF book covers basic concepts, analytical and practical assessment tests. "Data Science MCQ" PDF book helps to practice test questions from exam prep notes. The Data Science MCQs with Answers PDF eBook includes revision guide with verbal, quantitative, and analytical past papers, solved MCQs. Data Science Multiple Choice Questions and Answers (MCQs) PDF: Free download chapter 1, a book covers trivia quiz questions and answers on chapters: Data mining, hi ho, hi ho - data mining we go, identifying data problems, introduction to data science, lining up our models, map mash up, miscellaneous topics, pictures versus numbers, rows and columns, sample in a jar, storage wars, use of statistics, what's my function, what's your vector, victor?, word perfect tests for college and university revision guide. Data Science Quiz Questions and Answers PDF, free download eBook’s sample covers beginner's solved questions, textbook's study notes to practice online tests. The book Data Science MCQs Chapter 1-15 PDF includes CS question papers to review practice tests for exams. Data Science Multiple Choice Questions (MCQ) with Answers PDF digital edition eBook, a study guide with textbook chapters' tests for NEET/Jobs/Entry Level competitive exam. Data Science Mock Tests Chapter 1-15 eBook covers problem solving exam tests from computer science textbook and practical eBook chapter wise as: Chapter 1: Data Mining MCQ Chapter 2: Hi Ho, Hi Ho - Data Mining We Go MCQ Chapter 3: Identifying Data Problems MCQ Chapter 4: Introduction to Data Science MCQ Chapter 5: Lining Up Our Models MCQ Chapter 6: Map Mash up MCQ Chapter 7: Miscellaneous Topics MCQ Chapter 8: Pictures Versus Numbers MCQ Chapter 9: Rows and Columns MCQ Chapter 10: Sample in a Jar MCQ Chapter 11: Storage Wars MCQ Chapter 12: Use of Statistics MCQ Chapter 13: What's my Function MCQ Chapter 14: What's Your Vector, Victor? MCQ Chapter 15: Word Perfect MCQ The Data Mining MCQ PDF e-Book: Chapter 1 practice test to solve MCQ questions on Cleaning up the elements, introduction to data science, reading a csv text file, removing rows and columns, renaming rows and columns, and sorting dataframes. The Hi Ho, Hi Ho - Data Mining We Go MCQ PDF e-Book: Chapter 2 practice test to solve MCQ questions on Association rules data, association rules mining, data mining overview, and exploring how the association rules algorithm works. The Identifying Data Problems MCQ PDF e-Book: Chapter 3 practice test to solve MCQ questions on Exploring risk and uncertainty, looking for exceptions, and SMES. The Introduction to Data Science MCQ PDF e-Book: Chapter 4 practice test to solve MCQ questions on Skills required in data science, steps in data science, and what is data science. The Lining Up Our Models MCQ PDF e-Book: Chapter 5 practice test to solve MCQ questions on An example of car maintenance, introduction, linear modelling, and what is a model?. The Map Mash up MCQ PDF e-Book: Chapter 6 practice test to solve MCQ questions on A map visualization example, creating map visualizations with ggplot2, and showing points on a map. The Miscellaneous Topics MCQ PDF e-Book: Chapter 7 practice test to solve MCQ questions on Creating and using vectors, creating R scripts, creating web applications in R, deploying and application, exploring data models, introduction, introduction to data science, other uses of text mining, sentiment analysis, understanding existing data sources, and using an integrated development environment. The Pictures Versus Numbers MCQ PDF e-Book: Chapter 8 practice test to solve MCQ questions on A visualization overview, basic plots in R, introduction, more advanced ggplot2 visualizations, and using ggplot2. The Rows and Columns MCQ PDF e-Book: Chapter 9 practice test to solve MCQ questions on Accessing columns in a dataframe, creating dataframes, exploring dataframes, and introduction to data science. The Sample in a Jar MCQ PDF e-Book: Chapter 10 practice test to solve MCQ questions on Comparing two samples, introduction, law of large numbers and central limit theorem, repeating our sampling, and sampling in R. The Storage Wars MCQ PDF e-Book: Chapter 11 practice test to solve MCQ questions on Accessing a database, accessing excel data, accessing JSON data, comparing SQL and r for accessing a data set, importing and using rstudio, introduction. The Use of Statistics MCQ PDF e-Book: Chapter 12 practice test to solve MCQ questions on Normal distributions, sampling a population, understanding descriptive statistics, using descriptive statistics, and using histograms to understand a distribution. The What's my Function MCQ PDF e-Book: Chapter 13 practice test to solve MCQ questions on Creating functions in R, installing a package to access a function, introduction, testing functions, why create and use functions. The What's Your Vector, Victor? MCQ PDF e-Book: Chapter 14 practice test to solve MCQ questions on Supervised and unsupervised learning, supervised learning via support vector machines, and support vector machines in R. The Word Perfect MCQ PDF e-Book: Chapter 15 practice test to solve MCQ questions on creating word clouds, introduction, reading in text files, and using the text mining package.