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Exam Ref 70-779 Analyzing and Visualizing Data with Microsoft Excel

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Release : 2018-06-07
Genre : Computers
Kind : eBook
Book Rating : 105/5 ( reviews)

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Book Synopsis Exam Ref 70-779 Analyzing and Visualizing Data with Microsoft Excel by : Chris Sorensen

Download or read book Exam Ref 70-779 Analyzing and Visualizing Data with Microsoft Excel written by Chris Sorensen. This book was released on 2018-06-07. Available in PDF, EPUB and Kindle. Book excerpt: Prepare for Microsoft Exam 70-779–and help demonstrate your real-world mastery of Microsoft Excel data analysis and visualization. Designed for BI professionals, data analysts, and others who analyze business data with Excel, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Microsoft Excel Model data, from building and optimizing data models through creating performance KPIs, actual and target calculations, and hierarchies Visualize data, including creating and managing PivotTables and PivotCharts, and interacting with PowerBI This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have a strong understanding of how to use Microsoft Excel to perform data analysis

Exam Ref 70-779 Analyzing and Visualizing Data with Microsoft Excel

Download Exam Ref 70-779 Analyzing and Visualizing Data with Microsoft Excel PDF Online Free

Author :
Release : 2018
Genre : Electronic data processing personnel
Kind : eBook
Book Rating : 088/5 ( reviews)

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Book Synopsis Exam Ref 70-779 Analyzing and Visualizing Data with Microsoft Excel by : Chris Sorensen

Download or read book Exam Ref 70-779 Analyzing and Visualizing Data with Microsoft Excel written by Chris Sorensen. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt:

Exam Ref 70-778 Analyzing and Visualizing Data with Microsoft Power BI

Download Exam Ref 70-778 Analyzing and Visualizing Data with Microsoft Power BI PDF Online Free

Author :
Release : 2018-06-07
Genre : Computers
Kind : eBook
Book Rating : 798/5 ( reviews)

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Book Synopsis Exam Ref 70-778 Analyzing and Visualizing Data with Microsoft Power BI by : Daniil Maslyuk

Download or read book Exam Ref 70-778 Analyzing and Visualizing Data with Microsoft Power BI written by Daniil Maslyuk. This book was released on 2018-06-07. Available in PDF, EPUB and Kindle. Book excerpt: Prepare for Microsoft Exam 70-778–and help demonstrate your real-world mastery of Power BI data analysis and visualization. Designed for experienced BI professionals and data analysts ready to advance their status, Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the MCSA level. Focus on the expertise measured by these objectives: Consume and transform data by using Power BI Desktop Model and visualize data Configure dashboards, reports, and apps in the Power BI Service This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI

Data Visualization

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Author :
Release : 2018-12-18
Genre : Social Science
Kind : eBook
Book Rating : 624/5 ( reviews)

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Book Synopsis Data Visualization by : Kieran Healy

Download or read book Data Visualization written by Kieran Healy. This book was released on 2018-12-18. Available in PDF, EPUB and Kindle. Book excerpt: An accessible primer on how to create effective graphics from data This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions

Fundamentals of Clinical Data Science

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Release : 2018-12-21
Genre : Medical
Kind : eBook
Book Rating : 130/5 ( reviews)

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Book Synopsis Fundamentals of Clinical Data Science by : Pieter Kubben

Download or read book Fundamentals of Clinical Data Science written by Pieter Kubben. This book was released on 2018-12-21. Available in PDF, EPUB and Kindle. Book excerpt: This open access book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare. Fundamentals of Clinical Data Science is an essential resource for healthcare professionals and IT consultants intending to develop and refine their skills in personalized medicine, using solutions based on large datasets from electronic health records or telemonitoring programmes. The book’s promise is “no math, no code”and will explain the topics in a style that is optimized for a healthcare audience.

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