Data driven decision making using analytics, Parul Gandhi; Surbhi Bhatia; Kapil Dev;
Автор: Grigsby Mike Название: Marketing Analytics: A Practical Guide to Improving Consumer Insights Using Data Techniques ISBN: 0749482168 ISBN-13(EAN): 9780749482169 Издательство: Неизвестно Рейтинг: Цена: 42230.00 T Наличие на складе: Невозможна поставка. Описание: Understand how to apply marketing science techniques fearlessly, to improve consumer insights and compete more effectively in the marketplace.
Автор: Stimmel Carol L. Название: Big Data Analytics Strategies for the Smart Grid ISBN: 1482218283 ISBN-13(EAN): 9781482218282 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments.
Readable and accessible, Big Data Analytics Strategies for the Smart Grid addresses the needs of applying big data technologies and approaches, including Big Data cybersecurity, to the critical infrastructure that makes up the electrical utility grid. It supplies industry stakeholders with an in-depth understanding of the engineering, business, and customer domains within the power delivery market. The book explores the unique needs of electrical utility grids, including operational technology, IT, storage, processing, and how to transform grid assets for the benefit of both the utility business and energy consumers. It not only provides specific examples that illustrate how analytics work and how they are best applied, but also describes how to avoid potential problems and pitfalls. Discussing security and data privacy, it explores the role of the utility in protecting their customers' right to privacy while still engaging in forward-looking business practices. The book includes discussions of:
SAS for asset management tools
The AutoGrid approach to commercial analytics
Space-Time Insight's work at the California ISO (CAISO)
This book is an ideal resource for mid- to upper-level utility executives who need to understand the business value of smart grid data analytics. It explains critical concepts in a manner that will better position executives to make the right decisions about building their analytics programs.
At the same time, the book provides sufficient technical depth that it is useful for data analytics professionals who need to better understand the nuances of the engineering and business challenges unique to the utilities industry.
Автор: Gallagher Alyssa, Thordarson Kami Название: Design Thinking in Play: An Action Guide for Educators ISBN: 1416628851 ISBN-13(EAN): 9781416628859 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 26790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Design thinking is a person-centered, problem-solving process that's a go-to for innovative businesses and gaining traction with school leaders interested in positive change. But understanding design thinking is one thing; actually putting it in play is something else.
Authors Alyssa Gallagher and Kami Thordarson offer educators a practical guide for navigating design thinking's invigorating challenges and reaping its considerable rewards. They dig deep into the five-stage design thinking process, highlighting risk factors and recommending specific steps to keep you moving forward. The 25 downloadable and reproducible tools provide prompts and supports that will help you and your team:
Identify change opportunities.
Dig deeper into complex problems.
Analyze topics to isolate specific challenges.
Connect with and solve for user needs.
Apply what you've learned about users to design challenges.
Maximize brainstorming power.
Create and employ solution prototypes.
Pitch solutions and secure buy-in from stakeholders.
Organize and analyze user feedback.
Map out a solution's specific actions and resource requirements.
Design Thinking in Play is a must-have for education leaders who are tired of waiting for someone else to solve their problems and ready to take action, have fun, and leverage collective insight to figure out what will really work for their school, their colleagues, and their students.
Автор: Cengiz Kahraman; ?rem Otay Название: Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets ISBN: 3030000443 ISBN-13(EAN): 9783030000448 Издательство: Springer Рейтинг: Цена: 158380.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book offers a comprehensive guide to the use of neutrosophic sets in multiple criteria decision making problems. It shows how neutrosophic sets, which have been developed as an extension of fuzzy and paraconsistent logic, can help in dealing with certain types of uncertainty that classical methods could not cope with. The chapters, written by well-known researchers, report on cutting-edge methodologies they have been developing and testing on a variety of engineering problems. The book is unique in its kind as it reports for the first time and in a comprehensive manner on the joint use of neutrosophic sets together with existing decision making methods to solve multi-criteria decision-making problems, as well as other engineering problems that are complex, hard to model and/or include incomplete and vague data. By providing new ideas, suggestions and directions for the solution of complex problems in engineering and decision making, it represents an excellent guide for researchers, lecturers and postgraduate students pursuing research on neutrosophic decision making, and more in general in the area of industrial and management engineering.
Автор: Marr Bernard Название: Data-Driven HR: How to Use Analytics and Metrics to Drive Performance ISBN: 1398693863 ISBN-13(EAN): 9781398693869 Издательство: Неизвестно Рейтинг: Цена: 156330.00 T Наличие на складе: Нет в наличии. Описание: Use data, analytics and metrics to make better HR decisions for your business.
Автор: Walters Edward J. Название: Data-Driven Law: Data Analytics and the New Legal Services ISBN: 1032095008 ISBN-13(EAN): 9781032095004 Издательство: Taylor&Francis Рейтинг: Цена: 47970.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Data has reshaped industries around the world, from finance and medicine to sports. Law has trailed behind other industries, but is quickly following suit. For many years, law firms made important decisions - including very large decisions - based on limited experience (at best), or hunches (at worst). Data science is growing quickly in law firm
Автор: Denardo Название: The Science of Decision Making - A Problem-based Approach Using Excel (WSE) ISBN: 0471318272 ISBN-13(EAN): 9780471318279 Издательство: Wiley Рейтинг: Цена: 253390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This text is a coherent account of the science of decision making. It includes the models of operations research and those models of probability that relate to decision making. An emphasis in placed between these connections and relates these models to nearly all of the professions.
Автор: Surafel Luleseged Tilahun, Jean Medard T. Ngnotchouye Название: Optimization Techniques for Problem Solving in Uncertainty ISBN: 1522550917 ISBN-13(EAN): 9781522550914 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 189420.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: When it comes to optimization techniques, in some cases, the available information from real models may not be enough to construct either a probability distribution or a membership function for problem solving. In such cases, there are various theories that can be used to quantify the uncertain aspects.Optimization Techniques for Problem Solving in Uncertainty is a scholarly reference resource that looks at uncertain aspects involved in different disciplines and applications. Featuring coverage on a wide range of topics including uncertain preference, fuzzy multilevel programming, and metaheuristic applications, this book is geared towards engineers, managers, researchers, and post-graduate students seeking emerging research in the field of optimization.
Автор: Ward Stephen Название: Python Data Analytics: The Ultimate Guide To Get Started With Data Analysis Using Python, NumPy and Pandas ISBN: 1801096813 ISBN-13(EAN): 9781801096812 Издательство: Неизвестно Рейтинг: Цена: 18380.00 T Наличие на складе: Нет в наличии. Описание: Unlock the programming skills you need to prepare for a lucrative career in Data Science with this comprehensive introduction to Python programming for data analytics
Are you completely new to programming and want to learn how to code, but don't know where to begin? Are you looking to upgrade your data wrangling skills to future-proof your career and break into Data Science and Analytics?
If you answered yes to any of the questions above, then keep reading...
Data analysis has become a huge industry with tons of career potential and will remain relevant far into the foreseeable future.
With the exponential growth and explosion of new data and the focus on using data to improve customer experiences and carry out research, data analysts will be needed to process and make sense of large amounts of information, with Python being the language of choice because of its versatility.
In this guide, you're going to be shown everything you need to break into the world of Data Analysis with Python. Filled with tutorials for powerful libraries and practical, hands-on exercises, you're going to learn how to aggregate, munge, analyze and visualize data in Python.
Here's a sample of what you're going to discover in Python Data Analytics
Why Python is the perfect language to learn if you want to break into Big Data and data analytics
Core statistical models and computation methods you need to know about as a budding data analyst
How to master the CSV library for reading, writing and handling tabular data
Using the Xlrd library to extract data from Microsoft Excel files
How to convert text to speech using the powerful Win32.com library
How to use the NumPy library to carry out fundamental and basic scientific and technical computing
How to use the SciPy library to carry out advanced scientific and highly technical computing
Surefire ways to manipulate the easy-to-use data structures of the Pandas framework for high-performance data analysis
How to plot complex data, create figures and visualize data using the Python Matplotlib library
...and tons more
If you're completely new to programming and have never written a single line of code, but want to get started, this guide is perfect for as a crash guide to getting up to speed with programming in general.
Whether you're a programmer looking to switch into an exciting new field with lots of potential for the future, or a regular data analyst looking to acquire the skills needed to remain relevant in a fast-changing world, this guide will teach you how to master powerful libraries used in the real-world by experienced data scientists.
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This book will discuss everything that we need to know when it comes to data science and how to complete the process of data science with Python. There are so many different parts that come together when we work on data science, but if you are able to put it all together, and work to really analyze the information that you have to beat out the competition, you will find that data science with Python can be the right move for you.
We will explore how so many businesses will take the time to gather up information, usually from a variety of sources, and then will be unsure of what they should do with that information once they have collected it. We can then take a look at the data life cycle and how we can take that information, clean it off, analyze it, and come up with insights and predictions that help grow our business more than ever before. We will spend this time looking what Python is about, how to download the program on your chosen operating system, and some of the basics that come with coding in Python.
This guidebook went through all of the steps that you need to know in order to get started with data science and some of the basic parts of the Python code. We can then put all of this together in order to create the right analytical algorithm that, once it is trained properly and tested with the right kinds of data, will work to make predictions, provide information, and even show us insights that were never possible before. And all that you need to do to get this information is to use the steps that we outline and discuss in this guidebook.
There is a lot of buzz in the business world, no matter what industry it is, about machine learning, the Python language, and of course, data science, and being able to put these terms together and learn how they work can make a big difference in how well your business will do now and in the future. There are already a ton of companies out there who have been able to gain a competitive edge with data science and the various models and algorithms of Python that go with it, and you can as well.
This book covers:
What is Data Science?
The Python Coding Language
Some of the Basic Coding in Python
The Best Python Libraries to Use with Data Science
The Basics of Jupyter and Why We Should Use It
Working with Anaconda in Python
The Basics of the Pandas Library
What is WinPython and How Can We Use It?
Common Tasks to Do in Info Science
Different Data Types to Work With
The Future of Data Science and Where It Will Go from Here
There are so many great ways that you can use the data you have been collecting for some time now and being able to complete the process of data visualization will ensure that you get it all done. When you are ready to get started with Python data science, make sure to check out this guidebook to learn how.
There is so much that can come into play when we work with data science, and it is one of the best ways for a business to differentiate from the competition and actually see some results in the process. And the Python language is a great option to learn to help us analyze and create a model that works with the info that we have. When we are ready to learn more about data science, and how to use the Python coding language to go with it, make sure to check out this guidebook to help you get started.
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Автор: Seyed Ali Fallahchay Название: Data Science for Business and Decision Making: An Introductory Text for Students and Practitioners ISBN: 1774076217 ISBN-13(EAN): 9781774076217 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 156150.00 T Наличие на складе: Нет в наличии. Описание: Explores the principles underpinning data science. The book considers the how and why of modern data science. It goes further than existing books by applying data to decision making. Not only is the book useful for undergraduates, but it can also help business owners in improving their decision making.
Автор: Scifo Estelle Название: Hands-On Graph Analytics with Neo4j: Perform graph processing and visualization techniques using connected data across your enterprise ISBN: 1839212616 ISBN-13(EAN): 9781839212611 Издательство: Неизвестно Рейтинг: Цена: 60070.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: To start with you will cover the basics of graph analytics, Cypher querying language, components of graph architecture, and more. You will implement Neo4j techniques to understand various graph analytics methods to reveal complex relationships in data. You will understand how machine learning can be used to perform smarter graph analytics.
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