Data Analytics Made Easy

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Data Analytics Made Easy

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Author : Andrea De Mauro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-08-30

Data Analytics Made Easy written by Andrea De Mauro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-30 with Business & Economics categories.

Learn how to gain insights from your data as well as machine learning and become a presentation pro who can create interactive dashboards Key FeaturesEnhance your presentation skills by implementing engaging data storytelling and visualization techniquesLearn the basics of machine learning and easily apply machine learning models to your dataImprove productivity by automating your data processesBook Description Data Analytics Made Easy is an accessible beginner's guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don't worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience. Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You'll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components. Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You'll not only be able to understand data scientists' machine learning models; you'll be able to challenge them and build your own. Creating interactive dashboards – Follow the book's simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results. What you will learnUnderstand the potential of data and its impact on your businessImport, clean, transform, combine data feeds, and automate your processesInfluence business decisions by learning to create engaging presentationsBuild real-world models to improve profitability, create customer segmentation, automate and improve data reporting, and moreCreate professional-looking and business-centric visuals and dashboardsOpen the lid on the black box of AI and learn about and implement supervised and unsupervised machine learning modelsWho this book is for This book is for beginners who work with data and those who need to know how to interpret their business/customer data. The book also covers the high-level concepts of data workflows, machine learning, data storytelling, and visualizations, which are useful for managers. No previous math, statistics, or computer science knowledge is required.

Big Data Analytics Made Easy

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Author : Y. Lakshmi Prasad
language : en
Publisher: Notion Press
Release Date : 2016-12-14

Big Data Analytics Made Easy written by Y. Lakshmi Prasad and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-12-14 with Computers categories.

Big Data Analytics Made Easy is a must-read for everybody as it explains the power of Analytics in a simple and logical way along with an end to end code in R. Even if you are a novice in Big Data Analytics, you will still be able to understand the concepts explained in this book. If you are already working in Analytics and dealing with Big Data, you will still find this book useful, as it covers exhaustive Data Mining Techniques, which are considered to be Advanced topics. It covers Machine Learning concepts and provides in-depth knowledge on unsupervised as well as supervised Learning, which is very important for decision-making. The toughest Data Analytics concepts are made simpler, It features examples from all the domains so that the reader gets connected to the book easily. This book is like a personal trainer that will help you master the Art of Data Science.

Data Analytics Made Easy

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Author : Andrea de Mauro
language : en
Publisher:
Release Date : 2021-08-30

Data Analytics Made Easy written by Andrea de Mauro and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-30 with categories.

Make informed decisions using data analytics, machine learning, and data visualizations Key Features: Take raw data and transform it to add value to your organization Learn the art of telling stories with your data to engage with your audience Apply machine learning algorithms to your data with a few clicks of a button Book Description: Data analytics has become a necessity in modern business, and skills such as data visualization, machine learning, and digital storytelling are now essential in every field. If you want to make sense of your data and add value with informed decisions, this is the book for you. Data Analytics Made Easy is an accessible guide to help you start analyzing data and quickly apply these skills to your work. It focuses on how to generate insights from your data at the click of a few buttons, using the popular tools KNIME and Microsoft Power BI. The book introduces the concepts of data analytics and shows you how to get your data ready and apply ML algorithms. Implement a full predictive analytics solution with KNIME and assess its level of accuracy. Create impressive visualizations with Microsoft Power BI and learn the greatest secret in successful analytics - how to tell a story with your data. You'll connect the dots on the various stages of the data-to-insights process and gain an overview of alternative tools, including Tableau and H20 Driverless AI. By the end of this book, you will have learned how to implement machine learning algorithms and sell the results to your customers without writing a line of code. What You Will Learn: Understand the potential of data and its impact on any business Influence business decisions with effective data storytelling when delivering insights Use KNIME to import, clean, transform, combine data feeds, and automate recurring workflows Learn the basics of machine learning and AutoML to add value to your organization Build, test, and validate simple supervised and unsupervised machine learning models with KNIME Use Power BI and Tableau to build professional-looking and business-centric visuals and dashboards Who this book is for: Whether you are working with data experts or want to find insights in your business' data, you'll find this book an effective way to add analytics to your skill stack. No previous math, statistics, or computer science knowledge is required.

Healthcare Analytics Made Simple

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Author : Vikas (Vik) Kumar
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-31

Healthcare Analytics Made Simple written by Vikas (Vik) Kumar and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-31 with Computers categories.

Add a touch of data analytics to your healthcare systems and get insightful outcomes Key Features Perform healthcare analytics with Python and SQL Build predictive models on real healthcare data with pandas and scikit-learn Use analytics to improve healthcare performance Book Description In recent years, machine learning technologies and analytics have been widely utilized across the healthcare sector. Healthcare Analytics Made Simple bridges the gap between practising doctors and data scientists. It equips the data scientists’ work with healthcare data and allows them to gain better insight from this data in order to improve healthcare outcomes. This book is a complete overview of machine learning for healthcare analytics, briefly describing the current healthcare landscape, machine learning algorithms, and Python and SQL programming languages. The step-by-step instructions teach you how to obtain real healthcare data and perform descriptive, predictive, and prescriptive analytics using popular Python packages such as pandas and scikit-learn. The latest research results in disease detection and healthcare image analysis are reviewed. By the end of this book, you will understand how to use Python for healthcare data analysis, how to import, collect, clean, and refine data from electronic health record (EHR) surveys, and how to make predictive models with this data through real-world algorithms and code examples. What you will learn Gain valuable insight into healthcare incentives, finances, and legislation Discover the connection between machine learning and healthcare processes Use SQL and Python to analyze data Measure healthcare quality and provider performance Identify features and attributes to build successful healthcare models Build predictive models using real-world healthcare data Become an expert in predictive modeling with structured clinical data See what lies ahead for healthcare analytics Who this book is for Healthcare Analytics Made Simple is for you if you are a developer who has a working knowledge of Python or a related programming language, although you are new to healthcare or predictive modeling with healthcare data. Clinicians interested in analytics and healthcare computing will also benefit from this book. This book can also serve as a textbook for students enrolled in an introductory course on machine learning for healthcare.

Data Science Made Simple A Beginner S Journey For All

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Author : M.B. Chatfield
language : en
Publisher: M.B, Chatfield
Release Date :

Data Science Made Simple A Beginner S Journey For All written by M.B. Chatfield and has been published by M.B, Chatfield this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Unleash the power of data science to make informed decisions, solve problems, and innovate. Data science is a rapidly growing field that is changing the way we live, work, and learn. It is the process of extracting knowledge and insights from data, and it can be used to solve a wide range of problems. Data Science Made Simple is the perfect resource for anyone who wants to learn the basics of data science. This comprehensive guide covers everything you need to know, from the basics of data science to advanced topics such as machine learning and artificial intelligence. With clear explanations, this book will help you: Understand the basics of data science Choose the right data science tools and techniques for your task Collect, clean, and analyze data Build data science models Communicate your data science findings Whether you're a student, a business professional, or a data enthusiast, Data Science Made Simple is the essential resource for learning about data science. Here are some of the key topics covered in the book: Introduction to data science Data collection Data cleaning Data analysis Data modeling Data communication With Data Science Made Simple, you'll be well on your way to becoming a data science expert. If you are a beginner who wants to learn about data science, Data Science Made Simple is a great place to start.

Statistics Made Simple For School Leaders

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Author : Susan Rovezzi Carroll
language : en
Publisher: R&L Education
Release Date : 2002-10-16

Statistics Made Simple For School Leaders written by Susan Rovezzi Carroll and has been published by R&L Education this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-10-16 with Education categories.

The chief executive officer of a corporation is not much different from a public school administrator. While CEOs base many of their decisions on data, for school administrators, this type of research may conjure up miserable memories of searching for information to meet a graduate school requirement. However, the value of data-based decision making will continue to escalate and the school community—students, teachers, parents and the general public—expect this information to come from their administrators. Administrators are called on to be accountable, but few are capable of presenting the mountain of data that they collect in a cohesive and strategic manner. Most statistical books are focused on statistical theory versus application, but Statistics Made Simple for School Leaders presents statistics in a simple, practical, conceptual, and immediately applicable manner. It enables administrators to take their data and manage it into strategic information so the results can be used for action plans that benefit the school system. The approach is 'user friendly' and leaves the reader with a confident can-do attitude to communicate results and plans to staff and the community.

Sql Data Analytics Made Easy

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Author : L D Knowings
language : en
Publisher:
Release Date : 2024-02-12

Sql Data Analytics Made Easy written by L D Knowings and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-12 with Computers categories.

Untangle the mesh of complex data with this user-friendly manual to SQL Imagine a world overflowing with data - numbers, stats, facts, all buzzing around, waiting to tell a story. And you are in the middle of it all, seeking to make sense of this information whirlwind. Perhaps you're a professional trying to unlock new opportunities, a student aiming to stand out in the competitive job market, or simply just a curious individual fascinated by the power of data. Whichever it is, there's one common element that can help you navigate this vast sea of data - Structured Query Language (SQL). Think of it as your magical compass, guiding you to reveal the hidden treasures within data. SQL is not just a computer language - it's the bridge between you and valuable insights that can boost your career, enhance your studies, or even just satisfy your curiosity. The thought of stepping into this journey may feel daunting. You might be looking at this data ocean, wondering how you're ever going to make sense of it all. That's where exactly what this book is all about. This guide is all about turning what seems complex into something remarkably simple, replacing confusion with crystal-clear clarity, and answering the countless questions you've likely been struggling with. It's time to decode the complexities of data with SQL and evolve into a data wizard. Stop watching from the shoreline and dive into the data sea as you read this book, where inside you'll discover: The foundational principles of data analytics and the instrumental role of SQL - knowing the basics is the first step to success! Practical, hands-on exercises that will transition you from SQL novice to confident practitioner - level your skills up with every flip of this book's pages Proven techniques for data cleaning and integration using SQL (the secret ingredient behind sound data analysis) Advanced SQL queries to dig deep into data and extract meaningful insights - arrive at better and more reliable results How to conduct robust statistical analyses using SQL... from hypothesis testing to regression analysis The art of creating compelling visualizations from SQL data - turn raw numbers into powerful stories Real-world case studies that highlight the practical applications of SQL in various industries And much more! Think SQL is too complex for you? Don't worry... this guide is designed to take you from the basics to advanced topics, regardless of your technical background. If you're concerned about practical applications, the book is laced with hands-on exercises to make sure you can apply the lessons immediately. Even better, there's no need to worry about evolving trends - SQL is a timeless skill, and this guide includes the latest advancements. So, what are you waiting for? It's time for data to make sense: Scroll up and click "Add to Cart" right now.

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.

Unstructured Data Analytics

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Author : Jean Paul Isson
language : en
Publisher: John Wiley & Sons
Release Date : 2018-03-13

Unstructured Data Analytics written by Jean Paul Isson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-03-13 with Computers categories.

Turn unstructured data into valuable business insight Unstructured Data Analytics provides an accessible, non-technical introduction to the analysis of unstructured data. Written by global experts in the analytics space, this book presents unstructured data analysis (UDA) concepts in a practical way, highlighting the broad scope of applications across industries, companies, and business functions. The discussion covers key aspects of UDA implementation, beginning with an explanation of the data and the information it provides, then moving into a holistic framework for implementation. Case studies show how real-world companies are leveraging UDA in security and customer management, and provide clear examples of both traditional business applications and newer, more innovative practices. Roughly 80 percent of today's data is unstructured in the form of emails, chats, social media, audio, and video. These data assets contain a wealth of valuable information that can be used to great advantage, but accessing that data in a meaningful way remains a challenge for many companies. This book provides the baseline knowledge and the practical understanding companies need to put this data to work. Supported by research with several industry leaders and packed with frontline stories from leading organizations such as Google, Amazon, Spotify, LinkedIn, Pfizer Manulife, AXA, Monster Worldwide, Under Armour, the Houston Rockets, DELL, IBM, and SAS Institute, this book provide a framework for building and implementing a successful UDA center of excellence. You will learn: How to increase Customer Acquisition and Customer Retention with UDA The Power of UDA for Fraud Detection and Prevention The Power of UDA in Human Capital Management & Human Resource The Power of UDA in Health Care and Medical Research The Power of UDA in National Security The Power of UDA in Legal Services The Power of UDA for product development The Power of UDA in Sports The future of UDA From small businesses to large multinational organizations, unstructured data provides the opportunity to gain consumer information straight from the source. Data is only as valuable as it is useful, and a robust, effective UDA strategy is the first step toward gaining the full advantage. Unstructured Data Analytics lays this space open for examination, and provides a solid framework for beginning meaningful analysis.

Big Data

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Author : Bernard Marr
language : en
Publisher: John Wiley & Sons
Release Date : 2015-01-09

Big Data written by Bernard Marr and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-09 with Business & Economics categories.

Convert the promise of big data into real world results There is so much buzz around big data. We all need to know what it is and how it works - that much is obvious. But is a basic understanding of the theory enough to hold your own in strategy meetings? Probably. But what will set you apart from the rest is actually knowing how to USE big data to get solid, real-world business results - and putting that in place to improve performance. Big Data will give you a clear understanding, blueprint, and step-by-step approach to building your own big data strategy. This is a well-needed practical introduction to actually putting the topic into practice. Illustrated with numerous real-world examples from a cross section of companies and organisations, Big Data will take you through the five steps of the SMART model: Start with Strategy, Measure Metrics and Data, Apply Analytics, Report Results, Transform. Discusses how companies need to clearly define what it is they need to know Outlines how companies can collect relevant data and measure the metrics that will help them answer their most important business questions Addresses how the results of big data analytics can be visualised and communicated to ensure key decisions-makers understand them Includes many high-profile case studies from the author's work with some of the world's best known brands