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RH, Dados e Inteligência Artificial

RH, Dados e Inteligência Artificial

Nossas boas-vindas ao Curso RH, Dados e Inteligência Artificial. Neste curso, você aprenderá que a transformação digital na área de Recursos Humanos é a reorganização e a remodelagem das funções de gestão de pessoas, utilizando a tecnologia para recriar sistemas operacionais e processos eficientes, que inclui substituir ou não os sistemas tradicionais para todas as áreas.

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  • البرتغالي
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Machine Learning con Spark (MLlib) en Databricks

Machine Learning con Spark (MLlib) en Databricks

Este proyecto es un curso práctico y efectivo para aprender a generar modelos de Machine Learning en un entorno de Big Data de Spark. Te enseñaremos a utilizar la herramienta de Big Data de Databricks. Y finalmente aprenderás, desde cero los fundamentos del MLlib en Spark y acabarás desarrollando un modelo completo y avanzado con Spark en Databricks.

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  • 3 ساعات
  • الإسبانية
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Introducción a Scala en Big data con Databricks

Introducción a Scala en Big data con Databricks

En este proyecto de 1 hora, aprenderás a aplicar buenas prácticas bajo el contexto de procesamiento Big Data, utilizando una de las plataformas más importantes en la actualidad, Databricks, con el lenguaje Spark

Además, podrás analizar las mejores opciones para la manipulación de datos sobre dataframes de Spark.

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  • 1 ساعات
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A Crash Course in Data Science

A Crash Course in Data Science

By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff.

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  • 7 ساعات
  • الإنجليزية
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Python for Genomic Data Science

Python for Genomic Data Science

This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University.

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  • 9 ساعات
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Introduction to Microsoft Azure Cloud Services

Introduction to Microsoft Azure Cloud Services

Whether you're just beginning to work with the cloud or you already have cloud experience and are new to Microsoft Azure, this course provides you with everything you need to get started. It introduces you to Microsoft Azure core concepts and services. You’ll learn the basics of cloud computing, its advantages, and how to choose the right Microsoft Azure solution for different business scenarios. You’ll use the Microsoft Azure portal and a sandbox to create and test Microsoft Azure resources at no cost to you.

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  • 10 ساعات
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Big Data, Artificial Intelligence, and Ethics

Big Data, Artificial Intelligence, and Ethics

This course gives you context and first-hand experience with the two major catalyzers of the computational science revolution: big data and artificial intelligence. With more than 99% of all mediated information in digital format and with 98% of the world population using digital technology, humanity produces an impressive digital footprint. In theory, this provides unprecedented opportunities to understand and shape society. In practice, the only way this information deluge can be processed is through using the same digital technologies that produced it.

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  • 12 ساعات
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Distributed Computing with Spark SQL

Distributed Computing with Spark SQL

This course is all about big data. It’s for students with SQL experience that want to take the next step on their data journey by learning distributed computing using Apache Spark. Students will gain a thorough understanding of this open-source standard for working with large datasets. Students will gain an understanding of the fundamentals of data analysis using SQL on Spark, setting the foundation for how to combine data with advanced analytics at scale and in production environments.

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  • 14 ساعات
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Introduction to Big Data with Spark and Hadoop

Introduction to Big Data with Spark and Hadoop

This self-paced IBM course will teach you all about big data! You will become familiar with the characteristics of big data and its application in big data analytics. You will also gain hands-on experience with big data processing tools like Apache Hadoop and Apache Spark. Bernard Marr defines big data as the digital trace that we are generating in this digital era. You will start the course by understanding what big data is and exploring how insights from big data can be harnessed for a variety of use cases.

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  • 24 ساعات
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Data-driven Astronomy

Data-driven Astronomy

Science is undergoing a data explosion, and astronomy is leading the way. Modern telescopes produce terabytes of data per observation, and the simulations required to model our observable Universe push supercomputers to their limits. To analyse this data scientists need to be able to think computationally to solve problems. In this course you will investigate the challenges of working with large datasets: how to implement algorithms that work; how to use databases to manage your data; and how to learn from your data with machine learning tools.

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  • 24 ساعات
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Big Data Emerging Technologies

Big Data Emerging Technologies

Every time you use Google to search something, every time you use Facebook, Twitter, Instagram or any other SNS (Social Network Service), and every time you buy from a recommended list of products on Amazon.com you are using a big data system. In addition, big data technology supports your smartphone, smartwatch, Alexa, Siri, and automobile (if it is a newer model) every day. The top companies in the world are currently using big data technology, and every company is in need of advanced big data technology support.

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  • 30 ساعات
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Exploring and Preparing your Data with BigQuery

Exploring and Preparing your Data with BigQuery

In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets.

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  • 8 ساعات
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Introduction to NoSQL Databases

Introduction to NoSQL Databases

Get started with NoSQL Databases with this beginner-friendly introductory course! This course will provide technical, hands-on knowledge of NoSQL databases and Database-as-a-Service (DaaS) offerings. With the advent of Big Data and agile development methodologies, NoSQL databases have gained a lot of relevance in the database landscape. Their main advantage is the ability to handle scalability and flexibility issues modern applications raise.

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  • 18 ساعات
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The Social and Technical Context of Health Informatics

The Social and Technical Context of Health Informatics

Improving health and healthcare institutions requires understanding of data and creation of interventions at the many levels at which health IT interact and affect the institution. These levels range from the external “world” in which the institution operates down to the specific technologies. Data scientists find that, when they aim at implementing their models in practice, it is the “socio” components that are both novel to them and mission critical to success.

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  • 9 ساعات
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Google Cloud Big Data and Machine Learning Fundamentals

Google Cloud Big Data and Machine Learning Fundamentals

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle. It explores the processes, challenges, and benefits of building a big data pipeline and machine learning models with Vertex AI on Google Cloud.

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  • 10 ساعات
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Process Mining: Data science in Action

Process Mining: Data science in Action

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

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  • 22 ساعات
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Foundations of Data Science: K-Means Clustering in Python

Foundations of Data Science: K-Means Clustering in Python

Organisations all around the world are using data to predict behaviours and extract valuable real-world insights to inform decisions. Managing and analysing big data has become an essential part of modern finance, retail, marketing, social science, development and research, medicine and government. This MOOC, designed by an academic team from Goldsmiths, University of London, will quickly introduce you to the core concepts of Data Science to prepare you for intermediate and advanced Data Science courses.

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  • 29 ساعات
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Introduction to Data Engineering

Introduction to Data Engineering

Start your journey in one of the fastest growing professions today with this beginner-friendly Data Engineering course! You will be introduced to the core concepts, processes, and tools you need to know in order to get a foundational knowledge of data engineering. as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in the ecosystem. You will begin this course by understanding what is data engineering as well as the roles that Data Engineers, Data Scientists, and Data Analysts play in this exciting field.

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  • 13 ساعات
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Data Visualization in Excel

Data Visualization in Excel

In an age now driven by "big data", we need to cut through the noise and present key information in a way that can be quickly consumed and acted upon making data visualization an increasingly important skill. Visualizations need to not only present data in an easy to understand and attractive way, but they must also provide context for the data, tell a story, achieving that fine balance between form and function. Excel has many rivals in this space, but it is still an excellent choice, particularly if it's where your data resides.

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  • 18 ساعات
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Introduction to Big Data

Introduction to Big Data

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career.

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  • 17 ساعات
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Relational Database Support for Data Warehouses

Relational Database Support for Data Warehouses

Relational Database Support for Data Warehouses is the third course in the Data Warehousing for Business Intelligence specialization. In this course, you'll use analytical elements of SQL for answering business intelligence questions. You'll learn features of relational database management systems for managing summary data commonly used in business intelligence reporting. Because of the importance and difficulty of managing implementations of data warehouses, we'll also delve into storage architectures, scalable parallel processing, data governance, and big data impacts.

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  • 71 ساعات
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Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

Welcome to the Cloud Computing Applications course, the second part of a two-course series designed to give you a comprehensive view on the world of Cloud Computing and Big Data! In this second course we continue Cloud Computing Applications by exploring how the Cloud opens up data analytics of huge volumes of data that are static or streamed at high velocity and represent an enormous variety of information. Cloud applications and data analytics represent a disruptive change in the ways that society is informed by, and uses information.

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  • 20 ساعات
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Machine Learning With Big Data

Machine Learning With Big Data

Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data.

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  • 22 ساعات
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The Importance of Listening

The Importance of Listening

In this second MOOC in the Social Marketing Specialization - "The Importance of Listening" - you will go deep into the Big Data of social and gain a more complete picture of what can be learned from interactions on social sites. You will be amazed at just how much information can be extracted from a single post, picture, or video.

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  • 8 ساعات
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What is Social?

What is Social?

The “What Is Social?" MOOC is for business owners, executives, and marketing professionals who want to significantly improve their abilities to grow their social strategy using effective, proven methodologies. This hands on, "how to" program won’t just tell you how to grow your professional persona using social – you will actually do it! This course is the first in the six-course specialization, Social Media Marketing: How to Profit in a Digital World. While the course can be audited for free, paid learners will receive additional content beyond the course basics.

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  • 7 ساعات
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