Data Analysis Foundation Courseware PDF Download
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Author: Van Haren Learning Solutions a.o.
Publisher: Van Haren
ISBN: 9401810710
Category : Architecture
Languages : en
Pages : 137
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Book Description
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.
Author: Van Haren Learning Solutions a.o.
Publisher: Van Haren
ISBN: 9401810710
Category : Architecture
Languages : en
Pages : 137
Get Book Here
Book Description
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.
Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433
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Book Description
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.
Author: John W. Foreman
Publisher: John Wiley & Sons
ISBN: 1118839862
Category : Business & Economics
Languages : en
Pages : 432
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Book Description
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.
Author: Helen Morris
Publisher: Van Haren
ISBN: 9401802637
Category : Architecture
Languages : en
Pages : 257
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Book Description
Besides the VeriSMTM – Foundation Courseware (ISBN: 9789401802628) publication you are advised to obtain the publication VeriSMTM - A service management approach for the digital age (ISBN: 9789401802406). Contact us at
[email protected] to find out more about our Courseware Partnership. This training material covers the syllabus for the VeriSMTM Foundation qualification. The training can be delivered over two days. This courseware is accredited to prepare the student for the VeriSMTM Foundation certification. VeriSMTM Foundation consists of two parts: VeriSMTM Essentials and VeriSMTM 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 VeriSMTM Plus training only. When they pass the VeriSMTM Plus exam they receive the VeriSMTM Foundation certificate. Training Providers who want to offer a one day training on service management principles can decide to offer the VeriSMTM Essentials training only. Students who pass the VeriSMTM Essentials exam, receive the VeriSMTM Essentials certificate. If they pass the VeriSMTM Plus exam later, they will automatically receive the VeriSMTM Foundation certificate. The courseware covers the following topics: • The Service Organization (Essentials) • Service culture (Essentials) • People and organizational structure (Essentials) • The VeriSMTM model (both) • Progressive practices (Plus) • Innovative technologies (Plus) VeriSMTM 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. VeriSMTM is Value-driven, Evolving, Responsive and Integrated Service Management. VeriSMTM is a registered trademark of and owned by IFDC, the International Foundation of Digital Competences.
Author: Jeremy Howard
Publisher: O'Reilly Media
ISBN: 1492045497
Category : Computers
Languages : en
Pages : 624
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Book Description
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala
Author: Vernon J. Richardson
Publisher:
ISBN: 9781260288407
Category : Accounting
Languages : en
Pages : 343
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Book Description
Author: Van Haren Learning Solutions a.o.
Publisher: Van Haren
ISBN: 9401803951
Category : Architecture
Languages : en
Pages : 201
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Book Description
Besides the ITIL® 4 Foundation Courseware - English (ISBN: 978 94 018 0394 6) publication you are advised to obtain the ITIL® 4 - A Pocket Guide (ISBN: 978 94 018 0439 4). The course is designed as an introduction to ITIL 4 and enables you to understand a new way to look at IT Service Management through a Service Value System (SVS). ITIL 4 provides an end-to-end picture of what means to contribute to business value, and also integrates concepts from models such as Lean IT, Agile and DevOps. This course is for those who are involved in the delivery of IT services and need an understanding of best practice in IT Service Management. Student must pass a 60 minute, 40 question closed book multiple choice, examination with a passing score of 65% in order to receive this certification. You can write the exam at any time and at any place after the course. The test is done via your own computer proctored via webcam. Candidates wishing to be trained and pass the exam for this qualification would be recommended to have a general awareness of IT and appreciation of their own business environment. You’ll learn: • Understand the key concepts of service management • Understand how the ITIL guiding principles can help an organization adopt and adapt service management • Understand the four dimensions of service management • Understand the purpose and components of the ITIL service value system • Understand the activities of the service value chain, and how they interconnect • Know the purpose and key terms of 18 ITIL practices • Understand 7 ITIL practices ITIL® is a registered trade mark of AXELOS Limited, used under permission of AXELOS Limited. All rights reserved. This product is only for courseware partners, affiliates or designated students. Any course should always include an exam.
Author: Frank Outvorst
Publisher: Van Haren
ISBN: 9401811776
Category : Architecture
Languages : en
Pages : 249
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Book Description
BiSL®, Business Information Services Library, is the framework for business information management. Since the introduction of BiSL, the model has become the standard in Business Information Management (BIM). BiSL offers a structure and guideline for BIM. BiSL establishes connections between operational information management and strategic information management and provides tools for the (further) professionalization of business information management. All these topics are covered in this training material, which supports the preparation for various official BiSL exams such as those of APMG-international (BiSL Foundation), EXIN (Business information management) and Van Haren Certify (BiSL Foundation). The BiSL Foundation exam. In combination with the explanations of the training materials by your instructor, you can prepare optimally for the exam. This training addresses the principles of BiSL and the process framework defined by BiSL. The principles and the framework as a whole, the executive processes (divided into usage management, functionality management, and connecting processes), the controlling processes, and the directive processes are discussed. There is ample opportunity for the exchange of experiences, always returning to the theory. The courseware consists of: handouts, exercises, articles, and a practice exam.Target audience: information management, functional management employees, and IT professionals who want to better understand the demand side.The presentations explain the theory. With the practice assignments, you can further familiarize yourself with the material during the training. The questions of the practice exam give an insight into what you can expect on the exam. This training material fully aligns with the publication BiSL, a framework for business information management. The following updates have been included in this courseware. A new process has been described: Operational chain alignment. The arrangement of the processes in the controlling layer has changed. More attention is paid to topics such as Big Data, Cloud, security, and chains. Attention is given to several other frameworks, models, and standards. The position and context of business information management are more clearly described. Compared to the previous edition of this training material, adjustments have been made only on the necessary substantive points, ensuring alignment with the new edition of the framework. In terms of structure/composition, both of the course content and of the various assignments and exercises, the course material has remained unchanged.
Author: Wil M. P. van der Aalst
Publisher: Springer
ISBN: 3662498510
Category : Computers
Languages : en
Pages : 477
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Book Description
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.
Author: Jan Øberg
Publisher: Van Haren
ISBN: 9401807000
Category : Education
Languages : en
Pages : 353
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Book Description
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.
