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Author: AICPA Publisher: Wiley ISBN: 9781119696636 Category : Business & Economics Languages : en Pages : 0
Book Description
The Data Analysis Fundamentals Certificate (10.0 CPE Credits) provides you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem. This certificate is Part 1 of the Data Analyst Certificates Bundle - a comprehensive five-part program that provides training and practical guidance on the topic of data analytics. The Data Analysis Fundamentals Certificate begins with a foundational understanding of the need of transformational assets within an organization and explains the importance of intelligent data management and corresponding analytics practice. This certificate program aims to provide you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem. It will cover concepts behind the most common types of data you will need to be prepared to analyze, as well as help you explore the factors impacting data practice. This certificate program will also explain why intelligent data management and a corresponding analytics practice is critical for the success of both the organization and the professional. WHO WILL BENEFIT Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations' make informed, data-driven business decisions. KEY TOPICS The business impacts and disruptive potential of organizational data Basic concepts behind different types of data and how they're used The job roles and duties associated with data analytics The life cycle of organizational data and how to manage it A vocabulary for evaluating and communicating in data practice Exposure to and demonstrations of tools used for managing and analyzing data Common obstacles and hurdles to effectively leveraging data in an organization How to tie data to business requirements and build business cases LEARNING OBJECTIVES Determine how the digital transformation and disruption landscape create a competitive advantage across the enterprise. Identify the organizational ecosystem needed for becoming a data-driven organization. Analyze the life cycle of data and its implications for data-driven decision making. Compare common problems and risks associated with becoming a data-driven business. Differentiate between data analysis tools. Identify requirements for data-driven projects. Digital Badge: Your Professional Distinction Set yourself apart as a future-ready financial professional. Upon completion, you will be awarded with a certificate in the form of a digital badge. Digital badges allow you to distinguish yourself in the marketplace and show your commitment to quality. The badge can be posted to your social media profiles and linked to your resume or email signature, providing maximum visibility to your achievement. Credit Info CPE CREDITS: Online: 10.0 (CPE credit info) NASBA FIELD OF STUDY: Specialized Knowledge LEVEL: Basic PREREQUISITES: None ADVANCE PREPARATION: None DELIVERY METHOD: QAS Self-Study COURSE ACRONYM: DALP-S1 Online Access Instructions A personal pin code is enclosed in the physical packaging that may be activated online upon receipt. Once activated, you will gain immediate online access to the product for one full year. System Requirements AICPA’s online CPE courses will operate in a variety of configurations, but only the configuration described below is supported by AICPA technicians. A stable and continuous internet connection is required. In order to record your completion of the online learning courses, please ensure you are connected to the internet at all times while taking the course. It is your responsibility to validate that CPE certificate(s) are available within your account after successfully completing the course and/or exam. Supported Operating Systems: Macintosh OS X 10.10 to present Windows 7 to present Supported Browsers: Apple Safari Google Chrome Microsoft Internet Explorer Mozilla Firefox Required Browser Plug-ins: Adobe Flash Adobe Acrobat Reader Technical Support: Please contact [email protected].
Author: AICPA Publisher: Wiley ISBN: 9781119696636 Category : Business & Economics Languages : en Pages : 0
Book Description
The Data Analysis Fundamentals Certificate (10.0 CPE Credits) provides you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem. This certificate is Part 1 of the Data Analyst Certificates Bundle - a comprehensive five-part program that provides training and practical guidance on the topic of data analytics. The Data Analysis Fundamentals Certificate begins with a foundational understanding of the need of transformational assets within an organization and explains the importance of intelligent data management and corresponding analytics practice. This certificate program aims to provide you with the knowledge on the different job roles involved in the analytics practice and the most commonly encountered technologies in today's data ecosystem. It will cover concepts behind the most common types of data you will need to be prepared to analyze, as well as help you explore the factors impacting data practice. This certificate program will also explain why intelligent data management and a corresponding analytics practice is critical for the success of both the organization and the professional. WHO WILL BENEFIT Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations' make informed, data-driven business decisions. KEY TOPICS The business impacts and disruptive potential of organizational data Basic concepts behind different types of data and how they're used The job roles and duties associated with data analytics The life cycle of organizational data and how to manage it A vocabulary for evaluating and communicating in data practice Exposure to and demonstrations of tools used for managing and analyzing data Common obstacles and hurdles to effectively leveraging data in an organization How to tie data to business requirements and build business cases LEARNING OBJECTIVES Determine how the digital transformation and disruption landscape create a competitive advantage across the enterprise. Identify the organizational ecosystem needed for becoming a data-driven organization. Analyze the life cycle of data and its implications for data-driven decision making. Compare common problems and risks associated with becoming a data-driven business. Differentiate between data analysis tools. Identify requirements for data-driven projects. Digital Badge: Your Professional Distinction Set yourself apart as a future-ready financial professional. Upon completion, you will be awarded with a certificate in the form of a digital badge. Digital badges allow you to distinguish yourself in the marketplace and show your commitment to quality. The badge can be posted to your social media profiles and linked to your resume or email signature, providing maximum visibility to your achievement. Credit Info CPE CREDITS: Online: 10.0 (CPE credit info) NASBA FIELD OF STUDY: Specialized Knowledge LEVEL: Basic PREREQUISITES: None ADVANCE PREPARATION: None DELIVERY METHOD: QAS Self-Study COURSE ACRONYM: DALP-S1 Online Access Instructions A personal pin code is enclosed in the physical packaging that may be activated online upon receipt. Once activated, you will gain immediate online access to the product for one full year. System Requirements AICPA’s online CPE courses will operate in a variety of configurations, but only the configuration described below is supported by AICPA technicians. A stable and continuous internet connection is required. In order to record your completion of the online learning courses, please ensure you are connected to the internet at all times while taking the course. It is your responsibility to validate that CPE certificate(s) are available within your account after successfully completing the course and/or exam. Supported Operating Systems: Macintosh OS X 10.10 to present Windows 7 to present Supported Browsers: Apple Safari Google Chrome Microsoft Internet Explorer Mozilla Firefox Required Browser Plug-ins: Adobe Flash Adobe Acrobat Reader Technical Support: Please contact [email protected].
Author: AICPA Publisher: Wiley ISBN: 9781119696612 Category : Business & Economics Languages : en Pages : 0
Book Description
The Application of Data Analysis Essentials Certificate (14.0 CPE Credits) offers hands-on experience regarding how to analyze data and calculate fundamental aspects of your data sets. This certificate program provides the core concepts and definitions of data analytics, which explain the anatomy of data as a medium, and provides fundamental statistical analysis techniques for beginning to glean useful information from data. This certificate is Part 2 of the Data Analyst Certificates Bundle - a comprehensive five-part program that provides training and practical guidance on the topic of data analytics. First, you will learn the different types of variables that make up a data set and perform meaningful calculations on data to discover and explore relationships that yield insights: central tendency, variability, probability, and distribution. Then we will delve into recognizing these qualities in their different forms and how to utilize them in practical business situations. This program offers straightforward exercises to help you practice and immediately apply what you've learned. You will also get exposure to and practice with useful concepts such as quartiles, variance, and standard deviation. Finally, you will be introduced to one of the most powerful tools available for analyzing data: the open-source "R" platform. You will be guided through an actual use case for analyzing data using R and complete your learning by seeing how the statistical concepts you've just learned can be applied in a real-world example. By completing this certificate, you will have a solid grasp of core statistical techniques underpinning an analytics practice and hands-on-practice using them. Note: It is recommended that you complete the Data Analysis Fundamentals Certificate, or ensure you have equivalent knowledge and skills, before starting this certificate course. Learning Labs* This is an interactive learning program that includes bonus hands-on learning labs that will expose you to the tools needed to implement an analytics practice in a practical way and equip you to deploy those tools as needed within your organization. You will practice using various technologies for preparing, analyzing and managing datasets in the real world. *Time spent on learning labs does not award CPE and completing learning labs is not a requirement for earning the certificate. WHO WILL BENEFIT Accounting and finance professionals, especially those interested in learning and applying data analysis techniques to help their organizations make informed, data-driven business decisions. KEY TOPICS The nature and types of different variables in data sets and how to use them Fundamental statistical concepts for working with data Characteristics of data that can be used for conducting analysis Basic calculations for analyzing and discovering useful insights from data sets How to understand and calculate probability from a data set Different types of distribution and how they can be used Guided exposure to the open-source R platform and its analytics capabilities A practical case study exploring how statistical analysis can be used in a common fraud-detection scenario Examples and practice exercises throughout the program to reinforce what you learn LEARNING OBJECTIVES Determine and classify variables. Calculate meaningful statistics, including central tendency, measurement and variability, basic probability, conditional probability, advanced probabilities, discrete distributions, and continuous distributions. Analyze statistics and distributions in R case study. Analyze fraud-detection case study. Digital Badge: Your Professional Distinction Set yourself apart as a future-ready financial professional. Upon completion, you will be awarded with a certificate in the form of a digital badge. Digital badges allow you to distinguish yourself in the marketplace and show your commitment to quality. The badge can be posted to your social media profiles and linked to your resume or email signature, providing maximum visibility to your achievement. Credit Info CPE CREDITS: Online: 14.0 (CPE credit info) NASBA FIELD OF STUDY: Statistics LEVEL: Intermediate PREREQUISITES: Recommended: Complete the Data Analysis Fundamentals Certificate or ensure you have equivalent knowledge and skills. ADVANCE PREPARATION: None DELIVERY METHOD: QAS Self-Study COURSE ACRONYM: DALP-S2 Online Access Instructions A personal pin code is enclosed in the physical packaging that may be activated online upon receipt. Once activated, you will gain immediate online access to the product for one full year. System Requirements AICPA’s online CPE courses will operate in a variety of configurations, but only the configuration described below is supported by AICPA technicians. A stable and continuous internet connection is required. In order to record your completion of the online learning courses, please ensure you are connected to the internet at all times while taking the course. It is your responsibility to validate that CPE certificate(s) are available within your account after successfully completing the course and/or exam. Supported Operating Systems: Macintosh OS X 10.10 to present Windows 7 to present Supported Browsers: Apple Safari Google Chrome Microsoft Internet Explorer Mozilla Firefox Required Browser Plug-ins: Adobe Flash Adobe Acrobat Reader Technical Support: Please contact [email protected].
Author: Wayne Winston Publisher: Microsoft Press ISBN: 1509306080 Category : Computers Languages : en Pages : 1488
Book Description
Master business modeling and analysis techniques with Microsoft Excel 2019 and Office 365 and transform data into bottom-line results. Written by award-winning educator Wayne Winston, this hands-on, scenario-focused guide helps you use Excel to ask the right questions and get accurate, actionable answers. New coverage ranges from Power Query/Get & Transform to Office 365 Geography and Stock data types. Practice with more than 800 problems, many based on actual challenges faced by working analysts. Solve real business problems with Excel—and build your competitive advantage: Quickly transition from Excel basics to sophisticated analytics Use PowerQuery or Get & Transform to connect, combine, and refine data sources Leverage Office 365’s new Geography and Stock data types and six new functions Illuminate insights from geographic and temporal data with 3D Maps Summarize data with pivot tables, descriptive statistics, histograms, and Pareto charts Use Excel trend curves, multiple regression, and exponential smoothing Delve into key financial, statistical, and time functions Master all of Excel’s great charts Quickly create forecasts from historical time-based data Use Solver to optimize product mix, logistics, work schedules, and investments—and even rate sports teams Run Monte Carlo simulations on stock prices and bidding models Learn about basic probability and Bayes’ Theorem Use the Data Model and Power Pivot to effectively build and use relational data sources inside an Excel workbook Automate repetitive analytics tasks by using macros
Author: National Academies of Sciences, Engineering, and Medicine Publisher: National Academies Press ISBN: 0309475597 Category : Education Languages : en Pages : 139
Book Description
Data science is emerging as a field that is revolutionizing science and industries alike. Work across nearly all domains is becoming more data driven, affecting both the jobs that are available and the skills that are required. As more data and ways of analyzing them become available, more aspects of the economy, society, and daily life will become dependent on data. It is imperative that educators, administrators, and students begin today to consider how to best prepare for and keep pace with this data-driven era of tomorrow. Undergraduate teaching, in particular, offers a critical link in offering more data science exposure to students and expanding the supply of data science talent. Data Science for Undergraduates: Opportunities and Options offers a vision for the emerging discipline of data science at the undergraduate level. This report outlines some considerations and approaches for academic institutions and others in the broader data science communities to help guide the ongoing transformation of this field.
Author: Paul Teetor Publisher: "O'Reilly Media, Inc." ISBN: 1449307264 Category : Computers Languages : en Pages : 438
Book Description
With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently. The R language provides everything you need to do statistical work, but its structure can be difficult to master. This collection of concise, task-oriented recipes makes you productive with R immediately, with solutions ranging from basic tasks to input and output, general statistics, graphics, and linear regression. Each recipe addresses a specific problem, with a discussion that explains the solution and offers insight into how it works. If you’re a beginner, R Cookbook will help get you started. If you’re an experienced data programmer, it will jog your memory and expand your horizons. You’ll get the job done faster and learn more about R in the process. Create vectors, handle variables, and perform other basic functions Input and output data Tackle data structures such as matrices, lists, factors, and data frames Work with probability, probability distributions, and random variables Calculate statistics and confidence intervals, and perform statistical tests Create a variety of graphic displays Build statistical models with linear regressions and analysis of variance (ANOVA) Explore advanced statistical techniques, such as finding clusters in your data "Wonderfully readable, R Cookbook serves not only as a solutions manual of sorts, but as a truly enjoyable way to explore the R language—one practical example at a time."—Jeffrey Ryan, software consultant and R package author
Author: Johnathan Mun Publisher: ISBN: 9781734497380 Category : Computers Languages : en Pages : 268
Book Description
Slides for the course covering the fundamentals of databases. The material covered includes Basic SQL, IBM Cloud DB2, Microsoft Access, Microsoft Excel, Python, QDM SQL, Risk Simulator, ROV BizStats.
Author: Elena Llaudet Publisher: Princeton University Press ISBN: 0691199434 Category : Computers Languages : en Pages : 256
Book Description
"Data analysis has become a necessary skill across the social sciences, and recent advancements in computing power have made knowledge of programming an essential component. Yet most data science books are intimidating and overwhelming to a non-specialist audience, including most undergraduates. This book will be a shorter, more focused and accessible version of Kosuke Imai's Quantitative Social Science book, which was published by Princeton in 2018 and has been adopted widely in graduate level courses of the same title. This book uses the same innovative approach as Quantitative Social Science , using real data and 'R' to answer a wide range of social science questions. It assumes no prior knowledge of statistics or coding. It starts with straightforward, simple data analysis and culminates with multivariate linear regression models, focusing more on the intuition of how the math works rather than the math itself. The book makes extensive use of data visualizations, diagrams, pictures, cartoons, etc., to help students understand and recall complex concepts, provides an easy to follow, step-by-step template of how to conduct data analysis from beginning to end, and will be accompanied by supplemental materials in the appendix and online for both students and instructors"--
Author: Simplilearn Publisher: IndraStra Whitepapers ISBN: Category : Computers Languages : en Pages : 25
Book Description
Data analytics is increasingly becoming a key element in shaping a company’s business strategy. Today, data influences every decision made by an organization, and this is driving the wide-scale adoption of data analytics, including machine learning technologies and artificial intelligence solutions. The heightened focus is propelling a surge in data analytics spending, reflected in various studies conducted by leading market research firms. The field of data analytics offers some amazing salaries and is not only the hottest IT job, but it is also one of the best-paying jobs in the world. This guide aims at providing the readers with everything they need to know about the data analytics field, basic terminologies, key concepts, real-life use cases, skills you must master in order to scale up your career, and training and certifications you might need to reach your dream job.
Author: Mike Chapple Publisher: John Wiley & Sons ISBN: 1119845262 Category : Computers Languages : en Pages : 468
Book Description
Build a solid foundation in data analysis skills and pursue a coveted Data+ certification with this intuitive study guide CompTIA Data+ Study Guide: Exam DA0-001 delivers easily accessible and actionable instruction for achieving data analysis competencies required for the job and on the CompTIA Data+ certification exam. You'll learn to collect, analyze, and report on various types of commonly used data, transforming raw data into usable information for stakeholders and decision makers. With comprehensive coverage of data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls, this Study Guide offers: All the information necessary to succeed on the exam for a widely accepted, entry-level credential that unlocks lucrative new data analytics and data science career opportunities 100% coverage of objectives for the NEW CompTIA Data+ exam Access to the Sybex online learning resources, with review questions, full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms Ideal for anyone seeking a new career in data analysis, to improve their current data science skills, or hoping to achieve the coveted CompTIA Data+ certification credential, CompTIA Data+ Study Guide: Exam DA0-001 provides an invaluable head start to beginning or accelerating a career as an in-demand data analyst.
Author: Hadley Wickham Publisher: "O'Reilly Media, Inc." ISBN: 1491910364 Category : Computers Languages : en Pages : 521
Book Description
Learn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
Author: AICPA
Author: AICPA
Author: AICPA
Author: Wayne Winston
Author: National Academies of Sciences, Engineering, and Medicine
Author: Paul Teetor
Author: Johnathan Mun
Author: Elena Llaudet
Author: Simplilearn
Author: Mike Chapple
Author: Hadley Wickham