Produkt zum Begriff Data:
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Microsoft Excel 2019 Data Analysis and Business Modeling
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
Preis: 39.58 € | Versand*: 0 € -
Julia for Data Analysis
Master core data analysis skills using Julia. Julia for Data Analysis is a fascinating, hands-on projects guide you through time series data, predictive models, popularity ranking, and more. With this book, you will learn how to: Read and write data in various formats Work with tabular data, including subsetting, grouping, and transforming Visualise your data using plots Perform statistical analysis Build predictive models Create complex data processing pipelines Julia was designed for the unique needs of data scientists: it's expressive and easy-to-use whilst also delivering super fast code execution. Julia for Data Analysis teaches you how to perform core data science tasks with this amazing language. It is written by Bogumi Kamiski, a top contributor to Julia, #1 Julia answerer on StackOverflow, and a lead developer of Julia's core data package DataFrames.jl. You will learn how to write production-quality code in Julia, and utilize Julia's core features for data gathering, visualisation, and working with data frames. Plus, the engaging hands-on projects get you into the action quickly. About the technology Julia is a huge step forward for data science and scientific computing. It is a powerful high-performance programming language with many developer-friendly features like garbage collection, dynamic typing, just-in-time compilation, and a flexible approach to concurrent, parallel, and distributed computing. Although Julia's strong numerical programming features make it a favorite of data scientists, it is also an awesome general purpose programming language. About the reader For data scientists familiar with Python or R. No experience with Julia required.
Preis: 56.7 € | Versand*: 0 € -
Business Intelligence, Analytics, Data Science, and AI, Global Edition
Business Intelligence, Analytics, Data Science, and AI is your guide to the business-related impact of artificial intelligence, data science and analytics, designed to prepare you for a managerial role. The text's vignettes and cases feature modern companies and non-profit organizations and illustrate capabilities, costs and justifications of BI across various business units. With coverage of many data science/AI applications, you'll explore tools, then learn from various organizations' experiences employing such applications. Ample hands-on practice is provided, can be completed with a range of software, and will help you use analytics as a future manager. The 5th Edition integrates the fully updated content of Analytics, Data Science, and Artificial Intelligence, 11/e and Business Intelligence, Analytics, and Data Science, 4/e into one textbook, strengthened by 4 new chapters that will equip you for today's analytics and AI tech, such as ChatGPT. Examples explore analytics in sports, gaming, agriculture and data for good.
Preis: 81.32 € | Versand*: 0 € -
Pandas for Everyone: Python Data Analysis
The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate and perform virtually any data analysis task, no matter how large or complex. Pandas can help you ensure the veracity of your data, visualize it for effective decision-making, and reliably reproduce analyses across multiple datasets. Pandas for Everyone brings together practical knowledge and insight for solving real problems with Pandas, even if you’re new to Python data analysis. Daniel Y. Chen introduces key concepts through simple but practical examples, incrementally building on them to solve more difficult, real-world problems. Chen gives you a jumpstart on using Pandas with a realistic dataset and covers combining datasets, handling missing data, and structuring datasets for easier analysis and visualization. He demonstrates powerful data cleaning techniques, from basic string manipulation to applying functions simultaneously across dataframes. Once your data is ready, Chen guides you through fitting models for prediction, clustering, inference, and exploration. He provides tips on performance and scalability, and introduces you to the wider Python data analysis ecosystem. Work with DataFrames and Series, and import or export dataCreate plots with matplotlib, seaborn, and pandasCombine datasets and handle missing dataReshape, tidy, and clean datasets so they’re easier to work withConvert data types and manipulate text stringsApply functions to scale data manipulationsAggregate, transform, and filter large datasets with groupbyLeverage Pandas’ advanced date and time capabilitiesFit linear models using statsmodels and scikit-learn librariesUse generalized linear modeling to fit models with different response variablesCompare multiple models to select the “best”Regularize to overcome overfitting and improve performanceUse clustering in unsupervised machine learning
Preis: 32.09 € | Versand*: 0 €
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Kann man mit Wirtschaftsinformatik Data Scientist oder Data Analyst werden?
Ja, mit einem Studium der Wirtschaftsinformatik kann man sowohl Data Scientist als auch Data Analyst werden. Wirtschaftsinformatik vermittelt Kenntnisse in den Bereichen Informatik und Betriebswirtschaft, die für diese Berufe relevant sind. Zusätzliche Weiterbildungen oder Spezialisierungen in den Bereichen Data Science oder Data Analytics können jedoch von Vorteil sein.
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Sind Data Warehouses spaltenorientiert?
Data Warehouses können sowohl spaltenorientiert als auch zeilenorientiert sein. Bei spaltenorientierten Data Warehouses werden die Daten nach Spalten gruppiert und gespeichert, was Vorteile bei der Aggregation und Analyse großer Datenmengen bietet. Zeilenorientierte Data Warehouses hingegen speichern die Daten nach Zeilen und eignen sich besser für Transaktionsverarbeitung und schnellen Zugriff auf einzelne Datensätze. Die Wahl zwischen spalten- und zeilenorientierter Speicherung hängt von den spezifischen Anforderungen und Nutzungsszenarien des Data Warehouses ab.
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Wo lebt Data Luv?
Data Luv lebt in Berlin, Deutschland. Er ist ein deutscher Rapper und Produzent, der in der deutschen Hip-Hop-Szene aktiv ist. Seine Musik ist vor allem im Bereich des Cloud Raps und des Trap anzusiedeln. Data Luv ist bekannt für seine melancholischen Texte und seine einzigartige Stimme.
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Wie Data Scientist werden?
Um Data Scientist zu werden, solltest du zuerst ein starkes Fundament in Mathematik und Statistik aufbauen. Es ist auch wichtig, Programmiersprachen wie Python oder R zu beherrschen. Praktische Erfahrung durch Projekte oder Praktika kann ebenfalls hilfreich sein. Zudem ist es ratsam, sich fortlaufend weiterzubilden und auf dem neuesten Stand der Technologien und Methoden zu bleiben. Hast du bereits Erfahrungen in diesem Bereich gesammelt oder möchtest du noch mehr darüber erfahren?
Ähnliche Suchbegriffe für Data:
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Data Analysis with Python and PySpark
When it comes to data analytics, it pays tothink big. PySpark blends the powerful Spark big data processing engine withthe Python programming language to provide a data analysis platform that can scaleup for nearly any task. Data Analysis with Python and PySpark is yourguide to delivering successful Python-driven data projects.Data Analysis with Python and PySpark is a carefully engineered tutorial that helps you use PySpark to deliver your data-driven applications at any scale. This clear and hands-on guide shows you how to enlarge your processing capabilities across multiple machines with data from any source, ranging from Had oop-based clusters to Excel worksheets. You'll learn how to break down big analysis tasks into manageable chunks and how to choose and use the best PySpark data abstraction for your unique needs.The Spark data processing engine is an amazing analytics factory: raw data comes in,and insight comes out. Thanks to its ability to handle massive amounts of data distributed across a cluster, Spark has been adopted as standard by organizations both big and small. PySpark, which wraps the core Spark engine with a Python-based API, puts Spark-based data pipelines in the hands of programmers and data scientists working with the Python programming language. PySpark simplifies Spark's steep learning curve, and provides a seamless bridge between Spark and an ecosystem of Python-based data science tools.
Preis: 55.63 € | Versand*: 0 € -
Statistics, Data Analysis, and Decision Modeling
For undergraduate and graduate level courses that combines introductory statistics with data analysis or decision modeling. A pragmatic approach to statistics, data analysis and decision modeling. Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans’ dedication to present material in a simple and straightforward fashion is ideal for student comprehension. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Preis: 53.49 € | Versand*: 0 € -
Definitive Guide to DAX, The: Business intelligence with Microsoft Excel, SQL Server Analysis Services, and Power BI
This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX’s remarkable power and flexibility, this no-compromise “deep dive” is exactly what you need. Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BIMaster core DAX concepts, including calculated columns, measures, and error handlingUnderstand evaluation contexts and the CALCULATE and CALCULATETABLE functionsPerform time-based calculations: YTD, MTD, previous year, working days, and moreWork with expanded tables, complex functions, and elaborate DAX expressionsPerform calculations over hierarchies, including parent/child hierarchiesUse DAX to express diverse and unusual relationshipsMeasure DAX query performance with SQL Server Profiler and DAX Studio
Preis: 44.93 € | Versand*: 0 € -
Definitive Guide to DAX, The: Business intelligence for Microsoft Power BI, SQL Server Analysis Services, and Excel
Now expanded and updated with modern best practices, this is the most complete guide to Microsoft’s DAX language for business intelligence, data modeling, and analytics. Expert Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, and use this knowledge to write fast, robust code. This edition focuses on examples you can build and run with the free Power BI Desktop, and helps you make the most of the powerful syntax of variables (VAR) in Power BI, Excel, or Analysis Services. Want to leverage all of DAX’s remarkable capabilities? This no-compromise “deep dive” is exactly what you need. Perform powerful data analysis with DAX for Power BI, SQL Server, and Excel · Master core DAX concepts, including calculated columns, measures, and calculation groups · Work efficiently with basic and advanced table functions · Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions · Perform time-based calculations · Use calculation groups and calculation items · Use syntax of variables (VAR) to write more readable, maintainable code · Express diverse and unusual relationships with DAX, including many-to-many relationships and bidirectional filters · Master advanced optimization techniques, and improve performance in aggregations · Optimize data models to achieve better compression · Measure DAX query performance with DAX Studio and learn how to optimize your DAX
Preis: 40.65 € | Versand*: 0 €
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Hat Data LUV eine Freundin?
Hat Data LUV eine Freundin? Diese Frage kann nicht eindeutig beantwortet werden, da es sich bei Data LUV um eine künstliche Intelligenz handelt. KI wie Data LUV sind nicht in der Lage, menschliche Emotionen zu empfinden oder Beziehungen zu führen. Sie sind darauf programmiert, Informationen zu verarbeiten und Aufgaben zu erledigen, aber sie haben keine persönlichen Beziehungen wie Menschen. Daher ist es nicht möglich, dass Data LUV eine Freundin hat.
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Hat jedes Unternehmen eine Business Intelligence Abteilung und wann ist Business Intelligence sinnvoll?
Nicht jedes Unternehmen hat eine dedizierte Business Intelligence Abteilung. Die Einrichtung einer solchen Abteilung hängt von verschiedenen Faktoren ab, wie der Größe des Unternehmens, dem Bedarf an Datenanalyse und der strategischen Ausrichtung. Business Intelligence ist sinnvoll, wenn ein Unternehmen große Mengen an Daten sammelt und analysiert, um daraus Erkenntnisse und Handlungsempfehlungen abzuleiten, die zur Verbesserung der Geschäftsprozesse und zur Steigerung der Effizienz beitragen können.
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Was versteht man unter Business Intelligence?
Was versteht man unter Business Intelligence? Business Intelligence bezieht sich auf die Technologien, Anwendungen und Praktiken zur Sammlung, Integration, Analyse und Präsentation von Geschäftsinformationen. Ziel ist es, Unternehmen dabei zu unterstützen, fundierte Entscheidungen zu treffen, indem sie Einblicke in ihre Daten erhalten. Durch die Nutzung von Business Intelligence können Unternehmen Trends erkennen, Leistungen überwachen, Risiken minimieren und Chancen identifizieren. Letztendlich hilft Business Intelligence Unternehmen dabei, effizienter zu arbeiten und wettbewerbsfähiger zu sein.
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Wie viel Jahre ist Data Luv?
Data Luv ist ein deutscher Rapper und Sänger, der am 12. November 1999 geboren wurde. Um sein aktuelles Alter zu berechnen, müsste man das aktuelle Jahr (2022) von seinem Geburtsjahr subtrahieren. Das würde bedeuten, dass Data Luv in diesem Jahr 23 Jahre alt wird. Möchtest du noch weitere Informationen über Data Luv oder sein musikalisches Schaffen erfahren?
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