Data Analysis Foundation Courseware

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Data Analysis Foundation Courseware

Author : Van Haren Publishing
Publisher :
ISBN 13 : 9789401810708
Total Pages : 0 pages
Book Rating : 4.8/5 (17 download)

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Book Synopsis Data Analysis Foundation Courseware by : Van Haren Publishing

Download or read book Data Analysis Foundation Courseware written by Van Haren Publishing and published by . This book was released on 2024-05-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: ''This Data Analysis Foundation Courseware enable a Data Analysis Foundation course, providing a comprehensive introduction to data concepts and the essence of data analysis, subsequently delving into the fundamental principles of Data Analysis, such as statistics and probability. Moreover, this course concentrates on extensively used data analysis techniques like regression and a step-by-step guide to executing them. Data Analysis refers to the systematic application of statistical and mathematical techniques to gain insights, explore, and scrutinize data in order to identify patterns and draw meaningful conclusions that assist businesses in making informed decisions based on data. This process typically encompasses various stages, including data collection, exploration, cleansing, pre-processing, and data organization. Frequently, data analysis is an ongoing, iterative procedure wherein data is continuously collected and analyzed simultaneously. There are two primary approaches to data analysis. Quantitative techniques involve working with numerical data and employ statistical measures, percentages, and calculations. These methods utilize algorithms, mathematical analysis tools, and software to manipulate data and reveal concealed business value. For instance, quantitative data analysis is employed to evaluate market data, aiding a company in determining an appropriate price for a new product. Qualitative data analysis entails working with non-numerical data, specifically categorical variables. Qualitative data analysis is also applicable in various business processes, including identifying themes and patterns and addressing research inquiries, aiming to enhance a product. ata analysis. Quantitative techniques involve working with numerical data and employ statistical measures, percentages, and calculations. These methods utilize algorithms, mathematical analysis tools, and software to manipulate data and reveal concealed business value. For instance, quantitative data analysis is employed to evaluate market data, aiding a company in determining an appropriate price for a new product. Qualitative data analysis entails working with non-numerical data, specifically categorical variables. Qualitative data analysis is also applicable in various business processes, including identifying themes and patterns and addressing research inquiries, aiming to enhance a product. ata analysis. Quantitative techniques involve working with numerical data and employ statistical measures, percentages, and calculations. These methods utilize algorithms, mathematical analysis tools, and software to manipulate data and reveal concealed business value. For instance, quantitative data analysis is employed to evaluate market data, aiding a company in determining an appropriate price for a new product. Qualitative data analysis entails working with non-numerical data, specifically categorical variables. Qualitative data analysis is also applicable in various business processes, including identifying themes and patterns and addressing research inquiries, aiming to enhance a product. ata analysis. Quantitative techniques involve working with numerical data and employ statistical measures, percentages, and calculations. These methods utilize algorithms, mathematical analysis tools, and software to manipulate data and reveal concealed business value. For instance, quantitative data analysis is employed to evaluate market data, aiding a company in determining an appropriate price for a new product. Qualitative data analysis entails working with non-numerical data, specifically categorical variables. Qualitative data analysis is also applicable in various business processes, including identifying themes and patterns and addressing research inquiries, aiming to enhance a product. value. For instance, quantitative data analysis is employed to evaluate market data, aiding a company in determining an appropriate price for a new product. Qualitative data analysis entails working with non-numerical data, specifically categorical variables. Qualitative data analysis is also applicable in various business processes, including identifying themes and patterns and addressing research inquiries, aiming to enhance a product.

Data Analysis Foundation Courseware

Author :
Publisher : Van Haren
ISBN 13 : 9401810710
Total Pages : 137 pages
Book Rating : 4.4/5 (18 download)

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Book Synopsis Data Analysis Foundation Courseware by :

Download or read book Data Analysis Foundation Courseware written by and published by Van Haren. This book was released on 2024-03-01 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Data Analysis Foundation Courseware enable a Data Analysis Foundation course, providing a comprehensive introduction to data concepts and the essence of data analysis, subsequently delving into the fundamental principles of Data Analysis, such as statistics and probability. Moreover, this course concentrates on extensively used data analysis techniques like regression and a step-by-step guide to executing them. Data Analysis refers to the systematic application of statistical and mathematical techniques to gain insights, explore, and scrutinize data in order to identify patterns and draw meaningful conclusions that assist businesses in making informed decisions based on data. This process typically encompasses various stages, including data collection, exploration, cleansing, pre-processing, and data organization. Frequently, data analysis is an ongoing, iterative procedure wherein data is continuously collected and analyzed simultaneously. There are two primary approaches to data analysis. Quantitative techniques involve working with numerical data and employ statistical measures, percentages, and calculations. These methods utilize algorithms, mathematical analysis tools, and software to manipulate data and reveal concealed business value. For instance, quantitative data analysis is employed to evaluate market data, aiding a company in determining an appropriate price for a new product. Qualitative data analysis entails working with non-numerical data, specifically categorical variables. Qualitative data analysis is also applicable in various business processes, including identifying themes and patterns and addressing research inquiries, aiming to enhance a product.

Foundations of Data Science

Author : Avrim Blum
Publisher : Cambridge University Press
ISBN 13 : 1108617360
Total Pages : 433 pages
Book Rating : 4.1/5 (86 download)

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Book Synopsis Foundations of Data Science by : Avrim Blum

Download or read book Foundations of Data Science written by Avrim Blum and published by Cambridge University Press. This book was released on 2020-01-23 with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.

Statistical Data Analytics

Author : Walter W. Piegorsch
Publisher : John Wiley & Sons
ISBN 13 : 111903065X
Total Pages : 227 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Statistical Data Analytics by : Walter W. Piegorsch

Download or read book Statistical Data Analytics written by Walter W. Piegorsch and published by John Wiley & Sons. This book was released on 2015-12-21 with total page 227 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery. Extensive solutions using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others.

VeriSM – Foundation Courseware

Author : Helen Morris
Publisher : Van Haren
ISBN 13 : 9401802637
Total Pages : 256 pages
Book Rating : 4.4/5 (18 download)

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Book Synopsis VeriSM – Foundation Courseware by : Helen Morris

Download or read book VeriSM – Foundation Courseware written by Helen Morris and published by Van Haren. This book was released on 2018-01-22 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Courseware package consist out of two publications, VeriSMTM – Foundation Courseware and VeriSM™ – Foundation Study guide. This training material covers the syllabus for the VeriSM™ Foundation qualification. The training can be delivered over two days. This courseware is accredited to prepare the student for the VeriSM™ Foundation certification. VeriSM™ Foundation consists of two parts: VeriSM™ Essentials and VeriSM™ Plus , each covering one day of training. Students who already have an (IT) Service Management certificate can benefit from the knowledge they already have. They are the audience for a VeriSM™ Plus training only. When they pass the VeriSM™ Plus exam they receive the VeriSM™ Foundation certificate. Training Providers who want to offer a one day training on service management principles can decide to offer the VeriSM™ Essentials training only. Students who pass the VeriSM™ Essentials exam, receive the VeriSM™ Essentials certificate. If they pass the VeriSM™ Plus exam later, they will automatically receive the VeriSM™ Foundation certificate. The courseware covers the following topics: • The Service Organization (Essentials) • Service culture (Essentials) • People and organizational structure (Essentials) • The VeriSM™ model (both) • Progressive practices (Plus) • Innovative technologies (Plus) VeriSM™ is a holistic, business-oriented approach to Service Management, which helps to make sense of the growing landscape of best practices and how to integrate them to offer value to the consumer. It is an evolution in Service Management thinking, and provides an up-to-date approach, including the latest practices and technological developments, to help organizations in transforming their business to the new reality of the digital age. VeriSM™ is Value-driven, Evolving, Responsive and Integrated Service Management. VeriSM™ is a registered trademark of and owned by IFDC, the International Foundation of Digital Competences.

Data Analysis Fundamentals Certificate

Author : AICPA
Publisher : Wiley
ISBN 13 : 9781119696636
Total Pages : 0 pages
Book Rating : 4.6/5 (966 download)

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Book Synopsis Data Analysis Fundamentals Certificate by : AICPA

Download or read book Data Analysis Fundamentals Certificate written by AICPA and published by Wiley. This book was released on 2020-03-31 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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].

Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators

Author : Tailen Hsing
Publisher : John Wiley & Sons
ISBN 13 : 0470016914
Total Pages : 362 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators by : Tailen Hsing

Download or read book Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators written by Tailen Hsing and published by John Wiley & Sons. This book was released on 2015-05-06 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Theoretical Foundations of Functional Data Analysis, with an Introduction to Linear Operators provides a uniquely broad compendium of the key mathematical concepts and results that are relevant for the theoretical development of functional data analysis (FDA). The self–contained treatment of selected topics of functional analysis and operator theory includes reproducing kernel Hilbert spaces, singular value decomposition of compact operators on Hilbert spaces and perturbation theory for both self–adjoint and non self–adjoint operators. The probabilistic foundation for FDA is described from the perspective of random elements in Hilbert spaces as well as from the viewpoint of continuous time stochastic processes. Nonparametric estimation approaches including kernel and regularized smoothing are also introduced. These tools are then used to investigate the properties of estimators for the mean element, covariance operators, principal components, regression function and canonical correlations. A general treatment of canonical correlations in Hilbert spaces naturally leads to FDA formulations of factor analysis, regression, MANOVA and discriminant analysis. This book will provide a valuable reference for statisticians and other researchers interested in developing or understanding the mathematical aspects of FDA. It is also suitable for a graduate level special topics course.

Data Smart

Author : John W. Foreman
Publisher : John Wiley & Sons
ISBN 13 : 1118839862
Total Pages : 432 pages
Book Rating : 4.1/5 (188 download)

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Book Synopsis Data Smart by : John W. Foreman

Download or read book Data Smart written by John W. Foreman and published by John Wiley & Sons. This book was released on 2013-10-31 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.

EDF Data Literacy Professional Courseware

Author : Michel Dekker
Publisher : Van Haren
ISBN 13 : 9401809860
Total Pages : 130 pages
Book Rating : 4.4/5 (18 download)

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Book Synopsis EDF Data Literacy Professional Courseware by : Michel Dekker

Download or read book EDF Data Literacy Professional Courseware written by Michel Dekker and published by Van Haren. This book was released on with total page 130 pages. Available in PDF, EPUB and Kindle. Book excerpt: In order to leverage data, decision makers and management have to base their decisions on the vast amounts of information being collected and generated nowadays. Understanding data requires a set of skills that are easy to learn, but in general are far from intuitive. None of us are born with the capacity to understand data: it is a human abstract construct, so we all need to learn how to work with it. How data can be leveraged, what the common pitfalls are and how data can often be misinterpreted are all crucial pieces of knowledge for all modern business professionals, particularly those in management. It is a misconception that humans no longer have a role to play and that data can make the decisions for us. However, in the foreseeable future, data-guided decisions will be the norm rather than the exception. The EDF Certification recognizes the awareness and understanding of the components of data literacy and how to foster its adoption and application for the benefit of everybody who needs to make decisions based on data. The EDF Certification is achieved through an exam which demonstrates that a participant: • Understands what data is and isn’t; • Is aware of the questions that need answered whenever you receive some data; • Understands how to summarize data in the correct way; • Is aware of the main processes involved from data origins through to usage; • Understands what data quality is; • Understands how to use data in order to measure performance; • Is aware of the impact of our expectations on data analysis; • Understands the main human biases involved in data analysis; • Is aware of the principal types of data analysis; • Understands the impact of context on analysis; • Understands how to apply storytelling principles to data arguments.

BiSL® Foundation Courseware - English

Author : Frank Outvorst
Publisher : Van Haren
ISBN 13 : 9401801924
Total Pages : 248 pages
Book Rating : 4.4/5 (18 download)

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Book Synopsis BiSL® Foundation Courseware - English by : Frank Outvorst

Download or read book BiSL® Foundation Courseware - English written by Frank Outvorst and published by Van Haren. This book was released on 2017-06-15 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Courseware package consist out of two publications, BiSL® Foundation courseware - English (ISBN: 978 94 018 0189 8) and BiSL® - A Framework for Business Information Management - 2nd edition (ISBN: 978 90 875 3702 9). The courseware addresses the principles of BiSL and the defined process framework. The principles and the framework as a whole are addressed: the operational processes ( the clusters of use management, functionalities management and connecting processes), the management processes and the strategy processes. The material consists of a mix of theory using a slide set, practical exercises including case studies and additionally the student can practice with two practice exams. There is a lot of room for exchange of experiences, always going back to the theory. This training prepares you for the APMG-examination “BiSL Foundation”. In the training, the basic subjects and principles of BiSL are addressed. Target audience: everyone who is active in the area of business information management and wants to understand the BiSL framework and learn the principles of BiSL. BiSL® is a Registered Trade Mark of the ASL BiSL Foundation

Data Analysis Foundations with Python

Author : Cuantum Technologies LLC
Publisher : Packt Publishing Ltd
ISBN 13 : 1836209061
Total Pages : 551 pages
Book Rating : 4.8/5 (362 download)

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Book Synopsis Data Analysis Foundations with Python by : Cuantum Technologies LLC

Download or read book Data Analysis Foundations with Python written by Cuantum Technologies LLC and published by Packt Publishing Ltd. This book was released on 2024-06-12 with total page 551 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into data analysis with Python, starting from the basics to advanced techniques. This course covers Python programming, data manipulation with Pandas, data visualization, exploratory data analysis, and machine learning. Key Features From Python basics to advanced data analysis techniques. Apply your skills to practical scenarios through real-world case studies. Detailed projects and quizzes to help gain the necessary skills. Book DescriptionEmbark on a comprehensive journey through data analysis with Python. Begin with an introduction to data analysis and Python, setting a strong foundation before delving into Python programming basics. Learn to set up your data analysis environment, ensuring you have the necessary tools and libraries at your fingertips. As you progress, gain proficiency in NumPy for numerical operations and Pandas for data manipulation, mastering the skills to handle and transform data efficiently. Proceed to data visualization with Matplotlib and Seaborn, where you'll create insightful visualizations to uncover patterns and trends. Understand the core principles of exploratory data analysis (EDA) and data preprocessing, preparing your data for robust analysis. Explore probability theory and hypothesis testing to make data-driven conclusions and get introduced to the fundamentals of machine learning. Delve into supervised and unsupervised learning techniques, laying the groundwork for predictive modeling. To solidify your knowledge, engage with two practical case studies: sales data analysis and social media sentiment analysis. These real-world applications will demonstrate best practices and provide valuable tips for your data analysis projects.What you will learn Develop a strong foundation in Python for data analysis. Manipulate and analyze data using NumPy and Pandas. Create insightful data visualizations with Matplotlib and Seaborn. Understand and apply probability theory and hypothesis testing. Implement supervised and unsupervised machine learning algorithms. Execute real-world data analysis projects with confidence. Who this book is for This course adopts a hands-on approach, seamlessly blending theoretical lessons with practical exercises and real-world case studies. Practical exercises are designed to apply theoretical knowledge, providing learners with the opportunity to experiment and learn through doing. Real-world applications and examples are integrated throughout the course to contextualize concepts, making the learning process engaging, relevant, and effective. By the end of the course, students will have a thorough understanding of the subject matter and the ability to apply their knowledge in practical scenarios.

ITAMOrg® IT Asset Management Foundation Courseware

Author : Jan Øberg
Publisher : Van Haren
ISBN 13 : 9401806993
Total Pages : 266 pages
Book Rating : 4.4/5 (18 download)

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Book Synopsis ITAMOrg® IT Asset Management Foundation Courseware by : Jan Øberg

Download or read book ITAMOrg® IT Asset Management Foundation Courseware written by Jan Øberg and published by Van Haren. This book was released on 2020-09-17 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: [MvdP|vHP1] ITAMOrg® IT Asset Management Foundation Certifications is suitable for individuals wanting to demonstrate they have achieved sufficient understanding of how to apply and tailor the ITAM practices. Changing business practices, the introduction of new technologies, combined with customer and stakeholder feedback led to the need for understanding ITAM disciplines. The ITAMOrg guidance will be easier to navigate and understand the ITAM practical in its approach. The Foundation exam with a fundamental understanding of the ITAM elements and equips the participant to focus on the practical skills to apply ITAM practices. Key benefits: · ITAM can be successfully applied to any sized organisation, and professional role · ITAM leverages off the real-life expertise of the global ITAMOrg community, offering a overview of the ITAM disciplines and IT Asset areas to be controlled. · The exams highlight real world applications that equip professionals for success in IT Asset Management This Courseware is suited for the ITAMOrg® 2020 Foundation exam. There is also a sample exam added of the ITAMOrg® 2020 Foundation in case the participant prefers to refresh its knowledge. The Exam is delivered in English.

Statistical Data Analytics

Author : Walter W. Piegorsch
Publisher : John Wiley & Sons
ISBN 13 : 1119043646
Total Pages : 232 pages
Book Rating : 4.1/5 (19 download)

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Book Synopsis Statistical Data Analytics by : Walter W. Piegorsch

Download or read book Statistical Data Analytics written by Walter W. Piegorsch and published by John Wiley & Sons. This book was released on 2016-03-22 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solutions Manual to accompany Statistical Data Analytics: Foundations for Data Mining, Informatics, and Knowledge Discovery A comprehensive introduction to statistical methods for data mining and knowledge discovery. Extensive solutions using actual data (with sample R programming code) are provided, illustrating diverse informatic sources in genomics, biomedicine, ecological remote sensing, astronomy, socioeconomics, marketing, advertising and finance, among many others.

Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization

Author : Ai Publishing
Publisher : AI Publishing LLC
ISBN 13 : 9781733042642
Total Pages : 168 pages
Book Rating : 4.0/5 (426 download)

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Book Synopsis Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization by : Ai Publishing

Download or read book Python Crash Course for Data Analysis: A Complete Beginner Guide for Python Coding, NumPy, Pandas and Data Visualization written by Ai Publishing and published by AI Publishing LLC. This book was released on 2019-09-22 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: **GET YOUR COPY NOW, the price will be 21.99$ soon**Learn Python coding for Data Analysis from scratch very easilyWelcome to the Python Crash Course for Data Analysis!The book offers you a solid introduction to the world of Python Coding for data analysis. In this book, you'll learn fundamentals that will enable you to go further in Python Coding, launch or advance a career, and join the next generation of Data Analyst talent that will help define a beneficial, new, powered future for our world. You will study important libraries such as NumPy, Pandas and some Data Visualization libraries.Educational Objectives: This introductory book teaches the foundational skills all Python programmers use to analyze data. It is ideal for beginners who want to learn Python coding or Python for Data Analysis, make informed choices about career goals, and set themselves up for success in this path. At the end of this learning, you will become an great Python Programmer for data Analysis, and learn to analyse data using frameworks like NumPy, Pandas and Matplotlib. Prerequisites: No prior experience with programming is required. You will need to be comfortable with basic computer skills, such as managing files, running programs, and using a web browser to navigate the Internet.You will need to be self-driven and genuinely interested in the Python Coding. No matter how well structured the program is, any attempt to learn programming will involve many hours of studying, practice, and experimentation. Success in this book requires devoting at least 10 hours to your work. This requires some tenacity, and it is especially difficult to do if you don't find Python coding interesting or aren't willing to play around and tinker with your code-so drive, curiosity, and an adventurous attitude are highly recommended!You will need to be able to learn English.Contact Info: While going through the book, if you have questions about anything, you can reach us at [email protected].**GET YOUR COPY NOW, the price will be 15.99$ soon**

Process Mining

Author : Wil M. P. van der Aalst
Publisher : Springer
ISBN 13 : 3662498510
Total Pages : 477 pages
Book Rating : 4.6/5 (624 download)

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Book Synopsis Process Mining by : Wil M. P. van der Aalst

Download or read book Process Mining written by Wil M. P. van der Aalst and published by Springer. This book was released on 2016-04-15 with total page 477 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the second edition of Wil van der Aalst’s seminal book on process mining, which now discusses the field also in the broader context of data science and big data approaches. It includes several additions and updates, e.g. on inductive mining techniques, the notion of alignments, a considerably expanded section on software tools and a completely new chapter of process mining in the large. It is self-contained, while at the same time covering the entire process-mining spectrum from process discovery to predictive analytics. After a general introduction to data science and process mining in Part I, Part II provides the basics of business process modeling and data mining necessary to understand the remainder of the book. Next, Part III focuses on process discovery as the most important process mining task, while Part IV moves beyond discovering the control flow of processes, highlighting conformance checking, and organizational and time perspectives. Part V offers a guide to successfully applying process mining in practice, including an introduction to the widely used open-source tool ProM and several commercial products. Lastly, Part VI takes a step back, reflecting on the material presented and the key open challenges. Overall, this book provides a comprehensive overview of the state of the art in process mining. It is intended for business process analysts, business consultants, process managers, graduate students, and BPM researchers.

Data Analytics for Accounting

Author : Vernon J. Richardson
Publisher :
ISBN 13 : 9781260288407
Total Pages : 343 pages
Book Rating : 4.2/5 (884 download)

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Book Synopsis Data Analytics for Accounting by : Vernon J. Richardson

Download or read book Data Analytics for Accounting written by Vernon J. Richardson and published by . This book was released on 2018-05-23 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Experience Management and XLA® Foundation Courseware

Author : XLA Institute
Publisher : Van Haren
ISBN 13 : 9401811415
Total Pages : 149 pages
Book Rating : 4.4/5 (18 download)

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Book Synopsis Experience Management and XLA® Foundation Courseware by : XLA Institute

Download or read book Experience Management and XLA® Foundation Courseware written by XLA Institute and published by Van Haren. This book was released on 2024-05-13 with total page 149 pages. Available in PDF, EPUB and Kindle. Book excerpt: Enhance your expertise in customer experience management with our two-day certified Experience Management (XM) and Xperience Level Agreement (XLA®) Foundation courseware. Tailored for professionals, this training offers an in-depth exploration of the XM and XLA® concepts, blending theoretical insights with practical applications. Elevate your organization's customer experience with the XM and XLA® Foundation course. This two-day training, followed by a multiple-choice exam, offers a comprehensive introduction to Experience Management (XM) and Xperience Level Agreement (XLA®). Ideal for professionals like Service and Experience Managers, and Support professionals, it focuses on improving end-user experience and business impact using XM and XLA® methods. The course covers the fundamentals of XM and XLA, practical implementation skills, and includes both theoretical lessons and group assignments. Successful completion awards an XM and XLA® Foundation certificate, affirming your proficiency in these crucial business strategies. Participants of this course will: Deepen their understanding of improving customer experiences. Explore the significance of XM and XLA in business. Develop practical skills to apply XM and XLA frameworks effectively.