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SQL for Data Scientists: A Beginner`s Guide for Building Datasets for Analysis, Teate Renee M.


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Автор: Teate Renee M.
Название:  SQL for Data Scientists: A Beginner`s Guide for Building Datasets for Analysis
ISBN: 9781119669364
Издательство: Wiley
Классификация:





ISBN-10: 1119669367
Обложка/Формат: Paperback
Вес: 0.67 кг.
Дата издания: 10.12.2020
Язык: English
Размер: 231 x 185 x 15
Читательская аудитория: Professional & vocational
Подзаголовок: A beginner`s guide for building datasets for analysis
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание:

Jump-start your career as a data scientist--learn to develop datasets for exploration, analysis, and machine learning

SQL for Data Scientists: A Beginners Guide for Building Datasets for Analysis is a resource thats dedicated to the Structured Query Language (SQL) and dataset design skills that data scientists use most. Aspiring data scientists will learn how to how to construct datasets for exploration, analysis, and machine learning. You can also discover how to approach query design and develop SQL code to extract data insights while avoiding common pitfalls.

You may be one of many people who are entering the field of Data Science from a range of professions and educational backgrounds, such as business analytics, social science, physics, economics, and computer science. Like many of them, you may have conducted analyses using spreadsheets as data sources, but never retrieved and engineered datasets from a relational database using SQL, which is a programming language designed for managing databases and extracting data.

This guide for data scientists differs from other instructional guides on the subject. It doesnt cover SQL broadly. Instead, youll learn the subset of SQL skills that data analysts and data scientists use frequently. Youll also gain practical advice and direction on how to think about constructing your dataset.

  • Gain an understanding of relational database structure, query design, and SQL syntax
  • Develop queries to construct datasets for use in applications like interactive reports and machine learning algorithms
  • Review strategies and approaches so you can design analytical datasets
  • Practice your techniques with the provided database and SQL code

In this book, author Renee Teate shares knowledge gained during a 15-year career working with data, in roles ranging from database developer to data analyst to data scientist. She guides you through SQL code and dataset design concepts from an industry practitioners perspective, moving your data scientist career forward




Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python

Автор: Crickard Paul
Название: Data Engineering with Python: Work with massive datasets to design data models and automate data pipelines using Python
ISBN: 183921418X ISBN-13(EAN): 9781839214189
Издательство: Неизвестно
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Цена: 9562.00 р.
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Описание: Racism and white supremacy have survived in the United States for a very long time because from the onset, it was based on sound `engineering.` The book contends that racism is not a belief, practice, or ideology that flared up by accident or through the spur of the moment. Rather, it followed sound engineering stages like planning, design, and construction. Racism was designed to serve a domineering purpose for white people and, therefore, there was a lot of planning that eventually led to its design and construction. Because the architects had a vision of its permanency, they chose the most durable materials for its construction. Metaphorically, they used mortar, bricks, and steel beams. These durable materials, among others, include religion, science, government (including the Supreme Court), the constitution and laws, brutality, and social media. As the centuries rolled by, succeeding architects of this design and construction have done a superb job in maintenance and modifications to elude stumbling blocks. Based on the times and prevailing winds, the racism construct has undergone mutations to evade capture and destruction - even to this day. Like a car, the engineering and engineers have evolved, the models and make are changing, but the underlying engineering remains intact. Today, the overt, brash, and brutal racism has generally ceded to an equally destructive, calculated, politically-correct, less pompous, highly sophisticated, and veiled racism. The book dissects this durable foundational construct and proffers recommendations that will systematically minimize its intensity.

Data Science for Beginners, Data Analysis with Python, SQL Computer Programming for Beginners, Statistics for Beginners

Автор: Foster Matt
Название: Data Science for Beginners, Data Analysis with Python, SQL Computer Programming for Beginners, Statistics for Beginners
ISBN: 1801091951 ISBN-13(EAN): 9781801091954
Издательство: Неизвестно
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Цена: 4827.00 р.
Наличие на складе: Нет в наличии.

Python Programming for Beginners: A Comprehensive Crash Course with Practical Exercises to Quickly Learn Coding and Programming for Data Analysis and

Автор: Adams Anthony
Название: Python Programming for Beginners: A Comprehensive Crash Course with Practical Exercises to Quickly Learn Coding and Programming for Data Analysis and
ISBN: 1914065379 ISBN-13(EAN): 9781914065378
Издательство: Неизвестно
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Цена: 4824.00 р.
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Описание: Do You Want To Learn How To Code, Fast? This Crash Course With Practical Examples Is About To Become Your Best Friend


Would you like to become an expert in coding and programming?

Are you looking for a way to learn coding on your own?


Well, this book is everything you've been looking for It will teach you everything there is about Python coding, programming, artificial intelligence, and machine learning.


If you want to learn how to code, taking your first steps into the coding universe might seem like an intimidating and daunting task.

Here's the big secret: there are plenty of resources you can use to give yourself all the help you need, teach yourself new techniques, and make this learning process fun and exciting And this guide is precisely one of those resources that will help you out


Here is what this book contains:

-Everything there is to know about machine learning and artificial intelligence

-Extensive training in data science

-A beginner's guide to learning Python without breaking a sweat

-The benefits of learning Python

-Practical exercises that help you check your progress


The best way to learn to code involves you getting up-close-and-personal with a real book that you can follow along from beginning to end. This will give you a more comprehensive introduction to coding than jumping around from topic to topic on a website.


Not only will this book teach you how to code, but it will also test your new skills The practical exercises section will show you more about functions and modules and also how to make your program interactive.

Without applying your coding skills in a few projects, you won't even be considered a real coder. So, start learning and practicing


You don't have to enroll in a four-year college program to learn the fundamentals of computer science and coding.


All you have to do is get this book


Scroll up, click on "Buy Now with 1-Click", and Get Your Copy Now


Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists

Автор: Natasa Przulj
Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists
ISBN: 110842175X ISBN-13(EAN): 9781108421751
Издательство: Cambridge Academ
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Цена: 14254.00 р.
Наличие на складе: Поставка под заказ.

Описание: The increased and widespread availability of large network data resources in recent years has resulted in the increased need for effective methods for the analysis of these networks. The challenge is to detect patterns that provide a better understanding of the data. However, this is not a straight forward task because of the size of the data sets and the computer power required for the analyses. The solution is to devise methods for approximately answering the questions posed, and these methods will vary depending on the data sets under scrutiny. This cutting-edge text introduces graph and network theory, cluster analysis and machine learning, before discussing the thought processes and creativity involved in the analysis of large-scale biological and medical data sets, using a wide range of real-life examples. Bringing together leading experts, this inter-disciplinary text provides an ideal introduction to and insight into the field of network data analysis.

Python for Scientists

Автор: John M. Stewart
Название: Python for Scientists
ISBN: 1316641236 ISBN-13(EAN): 9781316641231
Издательство: Cambridge Academ
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Цена: 5067.00 р.
Наличие на складе: Поставка под заказ.

Описание: Scientific Python is taught from scratch in this book via copious, downloadable, useful and adaptable code snippets. Everything the working scientist needs to know is covered, quickly providing researchers and research students with the skills to start using Python effectively.

SQL Programming for Beginners: THE GUIDE with STEP BY STEP processes on DATA ANALYSIS, DATA ANALITICS and PROGRAMMING LANGUAGE. learn sql server tech

Автор: Machina Richard
Название: SQL Programming for Beginners: THE GUIDE with STEP BY STEP processes on DATA ANALYSIS, DATA ANALITICS and PROGRAMMING LANGUAGE. learn sql server tech
ISBN: 1801449651 ISBN-13(EAN): 9781801449656
Издательство: Неизвестно
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Цена: 2607.00 р.
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Описание:


Are you looking for a complete guide on sql? If yes, keep reading...


As programming is commonly intensive, the same may be said with SQL because it also takes different pathways for the successful development of an operational database system. Some may term SQL as a computer programming language because it takes the form of commands, which consists of instructions for the system to engage in a particular action like most programming tools. On the other hand, others refer to it as a data management system as it involves the creation of multiple tables organized under one or more databases essential for the storage of data.

Therefore, scientists and developers conclude that SQL is a standard computer language which helps in the communication between different database systems.

The first SQL model was developed by Ted Code, who introduced the ability of communication between different storage units. His idea was later acquired by Donald Chamberlin and Raymond Boyce and developed the model in the 1970s.

However, the version at the time was referred to as SEQUEL (Structured English Query Language) specifically designed to help in data storage and retrieval. More modifications were made over the years in IBM, with the first being done in a laboratory in San Jose, California, United States, where the first subscript notation was introduced. After testing the effectiveness of the software in customer test websites, SQL was then developed for use commercially after its usefulness and practicality determined.

Today, nearly all businesses around the world have turned into digital handling of data, which keeps growing daily. Ranging from small online business stores to large organizations such as Fortune 500 utilize databases as a way to store and manage this information. This way, SQL has gained popularity over time with demand for more database administrators increasing each passing day.

There are a lot of times when we will want to work with a database to help our business to grow and to keep all of the data and information that we have that concerns our business in order. And the SQL language is going to ensure that we are able to make all of this happen for our needs.

This book covers:

  • SQL (What it is and What it is used for)
  • Operators
  • Data Definition Language
  • Data Control Language
  • Data Manipulation Language
  • Data Control Language
  • Data Control Language
  • Stored Program
  • Subquery and many more

If you're trying to dive into learning SQL, you may feel frazzled and lost. It may look like a bunch of meaningless words and texts put in random order. Rest assured, there is sense to this language and it is quite easy to navigate through when you are given the necessary tools to understand it. In a lot of ways, SQL can have many similarities to the English language itself. You just need to understand how to formulate commands in order to be successful with the language. In the same way that we formulate sentences every day in order to communicate with individuals around us, the same goes for SQL when it comes to databases.

When you are ready to learn more about SQL and how this language can make the management and all of the other parts of running our database easier, make sure to read through this guidebook to help you get started.


Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists

Автор: Natasa Przulj
Название: Analyzing Network Data in Biology and Medicine: An Interdisciplinary Textbook for Biological, Medical and Computational Scientists
ISBN: 1108432239 ISBN-13(EAN): 9781108432238
Издательство: Cambridge Academ
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Цена: 7762.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Bringing together leading experts in the field of network data analysis, this text introduces biological concepts and biotechnologies producing the data, graph and network theory, cluster analysis and machine learning. Using real-world biological and medical examples, applications of these theories are discussed and creative thinking is encouraged in the analysis of such complex network data sets.

Python and Matplotlib Essentials for Scientists and Engineers

Автор: Matt A. Wood
Название: Python and Matplotlib Essentials for Scientists and Engineers
ISBN: 1681749106 ISBN-13(EAN): 9781681749105
Издательство: Mare Nostrum (Eurospan)
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Цена: 6237.00 р.
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Описание: This book provides an introduction to the core features of the Python programming language and Matplotlib plotting routings for scientists and engineers (or students of either discipline) who want to use Python™ to analyse data, simulate physical processes, and render publication-quality plots. No previous programming experience is needed before reading the first page.Readers will learn the core features of the Python programming language in under a day. They will be able to immediately use Python to implement codes that solve their own problems and make beautiful plots and animations. Python code is extremely fast to prototype, allowing users to achieve results quickly and accurately. The examples within the book are available for download.Python and Matplotlib Essentials for Scientists and Engineers is accessible for motivated high-school students, but will likely be most useful for undergraduate and graduate students as well as working professionals who have some background with the basic mathematical concepts. This book is intended for technical people who want to get things done.

Data Analysis Techniques for Physical Scientists

Автор: Pruneau Claude A
Название: Data Analysis Techniques for Physical Scientists
ISBN: 1108416780 ISBN-13(EAN): 9781108416788
Издательство: Cambridge Academ
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Цена: 13622.00 р.
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Описание: A comprehensive guide to data analysis techniques for the physical sciences including probability, statistics, data reconstruction, data correction and Monte Carlo methods. This book provides a valuable resource for advanced undergraduate and graduate students, as well as practitioners in the fields of experimental particle physics, nuclear physics and astrophysics.

Probability for Data Scientists

Автор: Juana Sanchez
Название: Probability for Data Scientists
ISBN: 1516532694 ISBN-13(EAN): 9781516532698
Издательство: Mare Nostrum (Eurospan)
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Цена: 15042.00 р.
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Описание: Probability for Data Scientists provides students with a mathematically sound yet accessible introduction to the theory and applications of probability. Students learn how probability theory supports statistics, data science, and machine learning theory by enabling scientists to move beyond mere descriptions of data to inferences about specific populations. The book is divided into two parts. Part I introduces readers to fundamental definitions, theorems, and methods within the context of discrete sample spaces. It addresses the origin of the mathematical study of probability, main concepts in modern probability theory, univariate and bivariate discrete probability models, and the multinomial distribution. Part II builds upon the knowledge imparted in Part I to present students with corresponding ideas in the context of continuous sample spaces. It examines models for single and multiple continuous random variables and the application of probability theorems in statistics. Probability for Data Scientists effectively introduces students to key concepts in probability and demonstrates how a small set of methodologies can be applied to a plethora of contextually unrelated problems. It is well suited for courses in statistics, data science, machine learning theory, or any course with an emphasis in probability. Numerous exercises, some of which provide R software code to conduct experiments that illustrate the laws of probability, are provided in each chapter.

Interval Analysis: and Automatic Result Verification

Автор: G?nter Mayer
Название: Interval Analysis: and Automatic Result Verification
ISBN: 3110500639 ISBN-13(EAN): 9783110500639
Издательство: Walter de Gruyter
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Цена: 22305.00 р.
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Описание:

This self-contained text is a step-by-step introduction and a complete overview of interval computation and result verification, a subject whose importance has steadily increased over the past many years. The author, an expert in the field, gently presents the theory of interval analysis through many examples and exercises, and guides the reader from the basics of the theory to current research topics in the mathematics of computation.

Contents

  • Preliminaries
  • Real intervals
  • Interval vectors, interval matrices
  • Expressions, P-contraction, ε-inflation
  • Linear systems of equations
  • Nonlinear systems of equations
  • Eigenvalue problems
  • Automatic differentiation
  • Complex intervals
Python For Data Analysis: A Beginner`s Guide to Learn Data Analysis with Python Programming.

Автор: Hush John
Название: Python For Data Analysis: A Beginner`s Guide to Learn Data Analysis with Python Programming.
ISBN: 1801239169 ISBN-13(EAN): 9781801239165
Издательство: Неизвестно
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Цена: 4689.00 р.
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Описание: Do you Want to learn more about Python Data Analysis ?.... then read on.


Businesses, governments, and organizations all need data for some reason. Data today is an opportunity to understand their current situation and use it to prepare for the unknown. The techniques used in data analysis today are easily available to anyone to interpret the data and obtain relevant explanations.


Data analysis requires a detailed understanding of the operation of the computers, peripherals, and software in question. The objective is to give the reader the knowledge necessary to familiarize themselves with the Python language by orienting the problem so as to focus on the functioning of these objects. This book was written with the desire to be accessible to everyone and the conviction that a "democratization" of the understanding of the computer tool is now essential.


This book offers a detailed approach: it begins with an introduction to the Python language and then presents how to use it to retrieve and manipulate the data produced by our computers. The authors thus deal with various themes ranging from the inspection of the process RAM, to the internal functioning of mainstream software or to the extraction of web browser history.


Different tools are studied: from the most basic to the most recent technologies such as machine learning with scikit-learn and its ecosystem resulting from scientific computing.ompiles (if there is no updated bytecode on disk), and runs on the Python virtual machine.


With Python for Data Analysis you'll learn step by step how to implement data analysis and procedures to extract data correctly.


In this you also will learning:


  • what's Data Analysis
  • Python For Data Analysis
  • Data Aggregation
  • Application Of Data Analytic today
  • Mathematics For data Analysis
  • Data Wrangling
  • Scipy, Numpy, Panda



While most books focus on advanced predictive models, this book begins to explain the basic concepts and how to correctly implement Data Analysis and Data Visualization, with practical examples and simple coding scripts.


This guide provides the necessary knowledge in a practical way. You will learn the steps of Data Analysis, how to implement them in Python, and the most important applications in the real world.


​​Download the eBook, Python For Data Analysis.
Scroll to the top of the page and click the "Buy now" button to get your copy now.



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