“…If you’re familiar with high school Algebra 2 and basic statistics, you’re good to go. You’ll learn newly introduced math concepts through business use cases, brief Python code examples, and lots of figures and illustrations. …”

“…Working knowledge in statistics and computational mathematics would also be helpful. …”

“…By transforming your data, you can reveal a wealth of descriptive statistics, group level observations, and hidden variables. …”

“…Bringing historical census data, governmental statistics, and ship manifests into conversation with centuries-old migration patterns of servants, agricultural workers, seasonal laborers, peddlers, and artisans-both male and female-this research argues that Central Europeans have long been mobile, that this mobility has been driven by diverse motivations, and that post-1850 transatlantic migration was an obvious extension of earlier spatial mobility patterns. …”

“…It covers mining ideas from several perspectives--statistics, data mining, linguistics, and information retrieval--and provides readers with the means to successfully complete text mining tasks on their own. …”

“…This new book, written by a top thought leader, helps everyday teachers, administrators, and family members--who don't have years of statistics courses under their belts--separate the wheat from the chaff and determine which new educational approaches are scientifically supported and worth adopting. …”

“…We'll start by creating a web application using Spring MVC, Spring Data, the World Bank API for some statistics on different countries, and MySQL database. …”

“…Organized into a calendar format, the trusted guide combines over a century's worth of data, statistics and trends along with vital analysis you won't get anywhere else. …”

“…It rests on the basic knowledge of financial mathematics and statistics gained from Volume I, of factor models, principal component analysis, statistical models of volatility and correlation and copulas from Volume II and, from Volume III, knowledge of pricing and hedging financial instruments and o…”

“…The most comprehensive Six Sigma reference available, now revised and expanded Completely rewritten and reorganized, this second edition of The Six Sigma Handbook covers all the basic statistics and qualityimprovement tools of the Six Sigma quality management system. …”

“…This trusted guide combines over a century's worth of data, statistics, and trends along with vital analysis you won't get anywhere else. …”

“…DB2 for z/OS V8 has provided access path visualization and a Statistics Advisor function through a new Visual Explain. …”

“…The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology. …”

“…You’ll also learn how to: •Leverage data structures to solve real-world problems, like using Boolean indexing to find cities with above-average pollution •Use NumPy basics such as array, shape, axis, type, broadcasting, advanced indexing, slicing, sorting, searching, aggregating, and statistics •Calculate basic statistics of multidimensional data arrays and the K-Means algorithms for unsupervised learning •Create more advanced regular expressions using grouping and named groups, negative lookaheads, escaped characters, whitespaces, character sets (and negative characters sets), and greedy/nongreedy operators •Understand a wide range of computer science topics, including anagrams, palindromes, supersets, permutations, factorials, prime numbers, Fibonacci numbers, obfuscation, searching, and algorithmic sorting By the end of the book, you’ll know how to write Python at its most refined, and create concise, beautiful pieces of ""Python art"" in merely a single line…”

“…The book links the theoretical and practical aspects of derivatives in one volume whilst keeping mathematics and statistics to a minimum. Throughout the book, the authors put the focus on explanations and applications. …”

“…In this video, Matt North will show you how to identify flaws, such as statistical outliers and missing values, to improve the usefulness and reliability of your results. …”

“…Learners should have a basic understanding of Python, statistics, and machine learning (i.e., how training works and how to prepare data for training a model). …”

“…This module uses Spark SQL sample statistics and Spark MLlib k-means clustering, in order to identify the outliers. …”

“…Exploratory Data Analysis covers topics including data visualization, descriptive statistics, and dimension reduction and includes information on relevant AWS services. …”

“…Solve real business problems with Excel—and sharpen your edge Summarize data with PivotTables and Descriptive Statistics Explore new trends in predictive and prescriptive analytics Use Excel Trend Curves, multiple regression, and exponential smoothing Master advanced Excel functions such as OFFSET and INDIRECT Delve into key financial, statistical, and time functions Make your charts more effective with the Power View tool Tame complex optimization problems with Excel Solver Run Monte Carlo simulations on stock prices and bidding models Apply important modeling tools such as the Inquire add-in…”