Inhalt: O Big Data é uma grande novidade. Mas o que é Big Data e como podemos usá-lo? Simplificando, Big Data são dados que, em virtude de sua velocidade, volume ou variedade (os três vês), não podem ser facilmente armazenados ou analisados usando métodos tradicionais. As planilhas e bancos de dados relacionais não bastam para trabalhar com Big Data. Neste curso, Barton Poulson fala dos métodos que realmente funcionam, apresentando todas as técnicas e conceitos envolvidos na captura, armazenamento, manipulação e análise de Big Data, inclusive mineração de dados e análise preditiva. Ele explica a relação entre Big Data e ciência de dados, estatística e programação; seus usos em marketing, pesquisa científica e ferramentas como o mecanismo de recomendações da Amazon; e as questões éticas subjacentes à sua utilização. Umfang: 02:04:24.00
Inhalt: Descubre la ciencia del big data. Conoce cómo se relaciona con campos como la ciencia de datos, la estadística y la programación; y cómo está revolucionando una amplia variedad de sectores, como el consumo, la investigación e, incluso, el ámbito empresarial. Aprende lo que son los macrodatos o los datos masivos, las tres V del big data: volumen, velocidad y variedad, los datos no estructurados o semiestructurados y la importancia de la privacidad de dichos datos en cada uno de estos puntos. Umfang: 02:21:27.00
Inhalt: Cada dia mais empresas se apoiam em dados para tomar decisões e melhorar os seus produtos. R é uma linguagem de programação gratuita, de código aberto, voltada para ciência de dados e está entre as ferramentas mais utilizadas para análise e manipulação de dados por profissionais da área. Aprenda o básico de R e inicie a sua jornada no mundo dos dados, com a instrutora e especialista em ciência de dados Jessica Temporal. As aulas vão te ensinar os primeiros passos com R, incluindo como instalar a linguagem e a ferramenta RStudio, assim como utilizar diversos pacotes da vasta biblioteca de pacotes disponível. Você vai ver em primeira mão como fazer modelagem de dados, visualizações e análises estatísticas. Após terminar o curso, você vai ter um conhecimento básico, mas completo do poder e da flexibilidade de R, e entender como aproveitar essa ferramenta para explorar e analisar uma variedade de dados. Umfang: 01:28:48
Inhalt: Start communicating ideas and diagramming data in a more interactive way. In this course, author Barton Poulson shows how to read, map, and illustrate data with Processing, an open-source drawing and development environment. On top of a solid introduction to Processing itself, this course investigates methods for obtaining and preparing data, designing for data visualization, and building an interactive experience out of a design. When your visualization is complete, explore the options for sharing your work, whether uploading it to specialized websites, embedding the visualizations in your own web pages, or even creating a desktop or Android app for your work. Umfang: 07:43:24.00
Inhalt: El curso Fundamentos de data science nos da una visión general de la ciencia de datos moderna: la práctica de obtener, explorar, dar forma e interpretar los datos. Aunque muchos creen que la ciencia de datos solo se relaciona con big data, existen muchos más campos y conceptos que explorar. Barto Poulson nos explica disciplinas como la programación, la estadística, las matemáticas, el aprendizaje automático, el análisis de datos, la visualización y (sí), big data. Además, nos revela por qué los científicos de datos tienen tanta demanda, y qué habilidades se requieren para tener éxito en varias tareas relacionadas con este campo. También nos muestra cómo obtener datos a partir de bases de datos de libre acceso, mediante API y la técnica de extracción de datos, y nos introduce a tecnologías (R, Python y SQL) y técnicas (máquinas de vectores de soporte y bosques aleatorios) específicas para el análisis. Al acabar el curso, entenderás mejor la función de la ciencia de datos a la hora de aportar información significativa sobre los conjuntos de datos complejos y amplios que tenemos a nuestro alrededor. Umfang: 03:19:58.00
Inhalt: The hype about big data may have peaked several years ago, but big data is far from gone. Instead it forms the foundation for some of today's most exciting technologies. Artificial intelligence (AI), machine learning, and data science rely on big data, or data that-by virtue of its velocity, volume, or variety-can't be easily stored or analyzed with traditional methods. In this nontechnical course, Barton Poulson digs into the topic of big data, explaining how it works and shapes our modern data universe. Barton explains big data's relationship to AI, data science, social media, and the Internet of Things (IoT). He goes over some of the ethical issues behind the use of big data. Plus, he covers techniques involved in analyzing big data, including data mining and predictive analytics. Umfang: 02:07:37.00
Inhalt: Are you interested in enhancing your understanding of how government and politics actually function? If so, this brief course can help by exploring the profound ways in which data science affects how our government and political process works. Data scientist and professor Barton Poulson provides a nontechnical overview of how data science functions in the public sector. He discusses how predictive analytics can be used to help you understand political representation; explores how data science affects matters of national security, privacy, and social justice; and more. Umfang: 01:02:15.00
Inhalt: Nowhere is data science more relevant than finance. Tracking the movement of money around the globe is one of the primary tasks for today's analysts. In this course, find out how algorithms, automation, big data applications, and machine learning are changing the nature of economics, banking, and finance. Data scientist and professor Barton Poulson provides a nontechnical overview of both the successful and problematic applications of data science to these fields. Learn how data science affects the way stocks are bought and sold, how loan applications are processed, and even how fraud is detected now that financial information is exchanged online at such a massive scale. Discover how social media influences economic trends, and why data scientists need to be especially careful to keep ethics in mind and false assumptions in check when dealing with financial data. Umfang: 01:20:36.00
Inhalt: A passion for sports can turn an ordinarily math-averse individual into an amateur statistician, ready to back up their pick for best clutch hitter with hard data. If your fascination with sports has piqued an interest in data and statistics, getting a general understanding of data science can help you gain striking insights into your favorite players and teams. In this brief course, data scientist and professor Barton Poulson explores the profound ways in which data science affects the world of sports and sports management, as well as the larger effect it has on audiences and associated industries. And while the topics he dives into can be complex, Barton takes a nontechnical approach in this course, ensuring that sports fans of many technical backgrounds can glean insights from his instruction. He covers how the principles of data science can help with the measurement of athletic performance, as well as ticket pricing, coaching players, and more. Umfang: 01:02:56.00
Inhalt: Toda ciência de dados começa com bons dados. A mineração de dados é uma abordagem para coleta, pesquisa e filtragem de dados brutos em situações sistemáticas, garantindo a obtenção de dados limpos desde o começo. Também auxilia na análise de grandes conjuntos de dados e na obtenção das informações mais úteis e relevantes. Este curso, Fundamentos da Ciência de Dados: Mineração de Dados, visa oferecer uma introdução sólida a todas as ferramentas, técnicas e raciocínio tático por trás da mineração de dados. Barton Poulson aborda fontes e tipos de dados, as linguagens e os programas usados na mineração de dados (incluindo R e Python) e lições específicas baseadas em tarefas que ajudam a praticar as técnicas mais comuns de mineração de dados: mineração de textos, agrupamento de dados, análise de associação e muito mais. Este curso é fundamental para os interessados em ingressar na força de trabalho de ciência de dados e para quem precisa adquirir mais experiência em mineração de dados. Umfang: 04:29:50
Inhalt: Trying to locate meaning and direction in big data is difficult. R can help you find your way. R is a statistical programming language to analyze and visualize the relationships between large amounts of data. It's one of the most important tools available for data analysis, machine learning, and data science. This training series provides a thorough introduction to R, with detailed instruction for working with R and RStudio and hands-on examples, from exploratory graphics to neural networks. In part two, Modeling Data, instructor Barton Poulson shows how to compute statistics, analyze data, predict outcomes, and group and classify cases. These are the fundamental techniques you need to generate meaningful insights for your organization. Umfang: 03:59:34.00
Inhalt: Creating a well-crafted data visualization is a hands-on process. Challenge yourself with this series of real-world data visualization scenarios in Processing, an open-source drawing and development environment. Barton Poulson, author of the companion Interactive Data Visualization with Processing course, reinforces core concepts with mini-projects that help you practice drawing and interacting with data. A comprehensive challenge at the end of the course shows how to take data from a spreadsheet to a full-fledged online, interactive experience. Umfang: 01:41:29.00
Inhalt: SPSS Statistics is a statistics and data analysis program for businesses, governments, research institutes, and academic organizations. In this course, Barton Poulson takes a practical, visual, and non-mathematical approach to SPSS Statistics, explaining how to use the popular program to analyze data in ways that are difficult or impossible in spreadsheets, but which don''t require you to master programming languages like Python or R. From importing spreadsheets, to making data visualizations, to calculating descriptive statistics, Barton covers all the basics, with an emphasis on clarity, interpretation, communicability, and application. This course is ideal for first-time researchers and those who want to make the most of data in their professional and academic work. Umfang: 05:49:50.00
Inhalt: Dieses Training führt Sie in das Thema Data Science ein, also die Beschaffung, Durchdringung, Modellierung und Interpretation von Daten. Barton Poulson erläutert für Data Science wichtige Disziplinen wie Programmierung, Statistik, Mathematik, Machine Learning, Datenanalyse, Virtualisierung und Big Data. Er erklärt, warum die Nachfrage nach Data Science-Spezialisten so hoch ist und welche Fähigkeiten in diesem Bereich am wichtigsten sind. Er zeigt Ihnen, wie Daten erhoben werden können und führt Sie in häufig für Data Science verwendete Sprachen wie R, Python und SQL ein. Am Ende des Trainings werden Sie den Stellenwert und die Möglichkeiten von Data Science bei der Erzeugung von Wissen aus den komplexen und großen Datenmengen, die uns heutzutage umgeben, verstehen. Umfang: 03:03:30.00
Inhalt: Data mining is the area of data science that focuses on finding actionable patterns in large and diverse datasets: clusters of similar customers, trends over time that can only be spotted after disentangling seasonal and random effects, and new methods for predicting important outcomes. In this course, instructor Barton Poulson introduces you to data mining that uses the programming language Python. Barton goes over some preliminaries, such as the tools you may use for data mining. He discusses aspects of dimensionality reduction, then explains clustering, including hierarchical clustering, k-Means, DBSCAN, and more. Barton covers classification, including kNN and decision trees. He goes into association analysis and introduces you to Apriori, Eclat, and FP-Growth. Barton steps you through a time-series decomposition, then concludes with sentiment scoring and other text mining tools. Umfang: 03:03:26
Inhalt: Data Science treibt eine weltweite Revolution an, die alles beeinflusst, von der Automatisierung in Unternehmen bis zur sozialen Interaktion. Data Science ist auch eines der am schnellsten wachsenden und einträglichsten Berufsfelder, in dem auf aller Welt Analyst:innen und Techniker:innen beschäftigt werden. Dieser LinkedIn Learning-Kurs gibt einen verständlichen, nicht allzu technischen Überblick über dieses Gebiet. Er behandelt die Terminologie, Fähigkeiten, Berufe, Tools und Techniken rund um Data Science. Barton Poulson definiert die Beziehungen zu anderen datenlastigen Feldern, wie zum Beispiel Machine Learning und Künstliche Intelligenz. Er erklärt die Hauptaufgaben: Wie Sie Daten sammeln und analysieren, wie Sie Regeln für Klassifizierung und Entscheidungsfindung formulieren und wie Sie aus alledem Erkenntnisse gewinnen, die zu informiertem Handeln führen. Er geht auch auf die Themenbereiche Ethik und Verantwortung ein und gibt Tipps, wo Sie weiterlernen können. Am Ende des Kurses verstehen Sie, wie Ihnen Data Science helfen kann, bessere Entscheidungen zu treffen, tiefere Einblicke zu gewinnen und Ihre Arbeit wirkungsvoller und schneller zu tun. (Übersetzung des Kurses aus dem Englischen: Dorothea Heymann-Reder) Umfang: 03:26:38
Inhalt: Trying to locate meaning and direction in big data is difficult. R can help you find your way. R is a statistical programming language to analyze and visualize the relationships between large amounts of data. This training series provides a thorough introduction to R, with detailed instruction for installing and navigating R and RStudio and hands-on examples, from exploratory graphics to neural networks. In part one, instructor Barton Poulson shows how to get R and popular R packages up and running and start importing, cleaning, and converting data for analysis. He also shows how to create visualizations such as bar charts, histograms, and scatterplots and transform categorical, qualitative, and outlier data to best meet your research questions and the requirements of your algorithms. Umfang: 04:18:36.00
Inhalt: Big Data ist in aller Munde. Aber was genau ist darunter zu verstehen? Einfach ausgedrückt sind Daten dann Big Data, wenn Sie wegen Ihrer Menge, der Geschwindigkeit, in der sie entstehen oder ihrer Vielfalt kaum mit herkömmlichen Methoden und Tools gespeichert oder analysiert werden können. In diesem Training erklärt Ihnen Barton Poulsen Methoden, die für Big Data funktionieren und führt Sie in all die Techniken und Konzepte ein, die es erlauben Big Data zu erfassen, zu speichern, zu manipulieren und zu analysieren. Er erklärt ebenso die Beziehung von Big Data zu Fachgebieten wie Statistik, Programmierung und Data Science, wie auch die Verwendung von Big Data z.B. in der Forschung oder Marketing und ethische Problemstellungen, die bei der Nutzung auftreten können. Umfang: 01:57:51.00
Inhalt: How does technology constantly gather data from the world of commerce around us? What can you derive from the data found in retail sales and consumer spending? This course explores the crucial ways in which businesses are affected by technology and how companies are harnessing ubiquitous data to improve business. Join Barton Poulson as he takes you through how data is being used to understand customers, recommend products to customers, gain new customers, drive customer loyalty, and more. Umfang: 01:10:16.00
Inhalt: Music, theater, dance, and film may not seem like data-driven businesses, but they can benefit from data science just as much as ecommerce or finance. Join data science professor, researcher, and consultant Barton Poulson as he explores the fascinating ways in which the media and entertainment industries around us are affected-and have been substantially changed-by ubiquitous data and the science of data and analytics. This course is a nontechnical overview that helps creative organizations use the principles of data science in practical ways. It''s required viewing for those working in media, but is also appealing to anyone interested in how technology affects the world around us. Learn how to use data science to assess your target audience, optimize pricing and scheduling for events and digital products, identify piracy, protect your intellectual property, reward employees, and maximize your ROI. Incorporating some simple analytics can lead to broader audiences and richer experiences for your next creative endeavor. Umfang: 00:56:33.00
Inhalt: Get a first look at Julia, the powerful and fast programming language for data science and analytics. Julia is growing quickly in popularity and many data science practitioners are interested in learning more. This fast-paced course provides a general introduction to the language's functionality, power, and limitations. Discover how Julia compares to C, R, and Python and how to call those languages in, how to format data with the different data types, how to perform math and vectorized operations, how to create expressions and run macros, and more. You can decide whether to incorporate Julia into your data science workflow or follow the next steps to learn more. Umfang: 00:33:37.00
Inhalt: Educational records and standardized tests offer a treasure trove of data about who our students are and what they actually need from the education system. Data science can help educators glean valuable insights from this deluge of information. In this brief course, data scientist and professor Barton Poulson provides a nontechnical overview of how data science changes the way that education is planned, carried out, and evaluated, as compared to traditional methods of research. Designed for aspiring and working teachers, parents, administrators, and anyone affected by the changing pace of our times, this course helps to illuminate how data science principles and procedures can help us better understand and educate our citizens. Learn how data science enables educators to create more meaningful curricula, evaluate the effectiveness of their progress, and more. Umfang: 01:30:12.00
Inhalt: Data analysis isn't just for specialists who need to make sense of massive datasets. Decision-makers in every industry can benefit from a basic understanding of the goals and concepts of applied data analysis. In this course, join Barton Poulson as he focuses on the fundamentals of data fluency, or the ability to work with data to extract insights and determine your next steps. Barton shows how exploring data with graphs and describing data with statistics can help you reach your goals and make better decisions. Instead of focusing on particular tools, he concentrates on general procedures that can help you solve specific problems. Find out how to prepare data, explore it visually, and use statistical methods to describe it. Umfang: 04:19:09.00
Inhalt: jamovi is a free, open-source data analysis application that bridges the gap between the freedom and power of R and the accessibility of SPSS. In this course, learn how to do data analysis that's both fast and friendly with jamovi. Instructor Barton Poulson demonstrates how to install jamovi and third-party modules, import and wrangle data, create visualizations based on ggplot2, and analyze data using advanced methods. Plus, see how to share your work with unified files and collaborate with the Open Science Framework (OSF). Umfang: 04:41:08.00
Inhalt: Data science is driving a world-wide revolution that touches everything from business automation to social interaction. It's also one of the fastest growing, most rewarding careers, employing analysts and engineers around the globe. This course provides an accessible, nontechnical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques of data science. Instructor Barton Poulson defines the relationships to other data-saturated fields such as machine learning and artificial intelligence. He reviews the primary practices: gathering and analyzing data, formulating rules for classification and decision-making, and drawing actionable insights. He also discusses ethics and accountability and provides direction to learn more. By the end, you'll see how data science can help you make better decisions, gain deeper insights, and make your work more effective and efficient. Umfang: 03:41:57.00
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