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Machine Learning y Regresión con PySpark. Guía paso a paso

Machine Learning y Regresión con PySpark. Guía paso a paso

Es un curso práctico y efectivo para aprender a generar modelos de regresión (Machine Learning) con PySpark en un entorno de Big Data.

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  • 2 ساعات
  • language الإسبانية
Data Engineering, Big Data, and Machine Learning on GCP

Data Engineering, Big Data, and Machine Learning on GCP

87% of Google Cloud certified users feel more confident in their cloud skills.

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Data Science at Scale

Data Science at Scale

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data.

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Business Data Management and Communication

Business Data Management and Communication

In a world driven by big data, it is crucial to understand how valuable information can be extracted from large volumes of data. Further, it is pivotal to utilize information to its full potential. This not only requires one to extract value from data but also to effectively communicate the information obtained. The Business Data Management and Communication Specialization is tailored to deliver a well-balanced curriculum that focuses on all three aspects - Understanding Data, Extracting Valuable Information, and Effective Communication.

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Developing Industrial Internet of Things

Developing Industrial Internet of Things

The courses in this specialization can also be taken for academic credit as ECEA 5385-5387, part of CU Boulder’s Master of Science in Electrical Engineering degree. Enroll here. In this specialization, you will engage the vast array of technologies that can be used to build an industrial internet of things deployment.

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Introduction to Data Science

Introduction to Data Science

Interested in learning more about data science, but don’t know where to start? This 4-course Specialization from IBM will provide you with the key foundational skills any data scientist needs to prepare you for a career in data science or further advanced learning in the field. This Specialization will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data driven decisions.

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Getting Started with Puppet

Getting Started with Puppet

The “Getting Started with Puppet” course is designed to help you gain knowledge of Puppet. You will learn Puppet overview with architecture and how to design, build PuppetDB, and also learn Puppet enterprise installation. Puppet is a software configuration management tool that includes its own declarative language to describe system configuration. It is a model-driven solution that requires limited programming knowledge to use. Puppet was created by Puppet Inc. founded by Luke Kanies in 2005. This course contains 4+ hours of training videos.

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  • 7 ساعات
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Alibaba Cloud Computing

Alibaba Cloud Computing

Course Description This specialization is intended for both students and businesses who aim to learn more about how Cloud technology can help them grow.

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Digital Health

Digital Health

This specialisation introduces students to the emerging and multidisciplinary field of digital health and the role and application of digital health technologies including mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data. These digital health technologies are assessed in terms of their opportunities and challenges to address real-world public health and health care system challenges in order to improve the quality, safety and efficiency of these services.

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Database systems

Database systems

This specialized program is aimed at computer people who want to enter the field of information systems and learn their different types of requirements, architectures, performance, techniques and tools so you can know when to use business intelligence, data mining, data science, databases , databases in memory or big data in order to have reliable, maintainable and scalable data intensive systems.

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Big Data Analysis Deep Dive

Big Data Analysis Deep Dive

The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards.

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  • 14 ساعات
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Emerging Technologies: From Smartphones to IoT to Big Data

Emerging Technologies: From Smartphones to IoT to Big Data

This Specialization is intended for researchers and business experts seeking state-of-the-art knowledge in advanced science and technology. The 4 courses cover details on Big Data (Hadoop, Spark, Storm), Smartphones, Smart Watches, Android, iOS, CPU/GPU/SoC, Mobile Communications (1G to 5G), Sensors, IoT, Wi-Fi, Bluetooth, LP-WAN, Cloud Computing, AR (Augmented Reality), Skype, YouTube, H.264/MPEG-4 AVC, MPEG-DASH, CDN, and Video Streaming Services.

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Autonomous Vehicle Engineering

Autonomous Vehicle Engineering

This specialization is intended for students seeking to explore the Autonomous Vehicle sector, which is undergoing profound transformation in today’s world.

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Big Data Fundamentals

Big Data Fundamentals

Learn how big data is driving organisational change and essential analytical tools and techniques, including data mining and PageRank algorithms.

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Build your first Search Engine using AWS Kendra

Build your first Search Engine using AWS Kendra

This project is focused on building your first search engine using Amazon Kendra without writing a single line of code. By the end of this guided project, you will be able to build your first enterprise search engine by leveraging Amazon’s Kendra. Search as a capability is an important feature which is required by almost all medium and large enterprises as search helps filter relevant and required information in the world of big data. Search helps find relevant information quickly and saves time to go through vast information.

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  • 4 ساعات
  • language الإنجليزية
Big Data Computing with Spark

Big Data Computing with Spark

Learn the theory and gain hands-on experience of big data systems, using Spark as the exemplary platform.

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  • 57
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Foundations of Data Analytics

Foundations of Data Analytics

Learn the fundamental techniques for data analytics and to be prepared for learning and applying more advanced big data technologies.

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UX Data Analysis

UX Data Analysis

Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations.

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  • 10
  • language الإنجليزية
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Online Advertising & Social Media

Online Advertising & Social Media

Learn how to develop Online Advertising Ecosystems complete with Social Media/Social Network and Media Big Data analysis for better decision making in all forms of outreach.

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  • 10
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Data Engineering Capstone Project

Data Engineering Capstone Project

This Capstone Project is designed for you to apply and demonstrate your Data Engineering skills and knowledge in SQL, NoSQL, RDBMS, Bash, Python, ETL, Data Warehousing, BI tools and Big Data.

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AI Applications with Watson

AI Applications with Watson

Turbocharge your chatbot's IQ and AI capabilities with IBM Watson Discovery and powered by Watson Assistant. Learn to use and program tools and assitant services such as Tone Analyzer and Personality Insights to build queries, extract information big data repositories.

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  • 45
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Big Data, Hadoop, and Spark Basics

Big Data, Hadoop, and Spark Basics

This course provides foundational big data practitioner knowledge and analytical skills using popular big data tools, including Hadoop and Spark. Learn and practice your big data skills hands-on.

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  • 11
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Big Data Technology Capstone Project

Big Data Technology Capstone Project

The Big Data Technology Capstone Project will allow you to apply the techniques and theory you have gained from the four courses in this MicroMasters program to a medium-scale project.

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  • 9
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Unix Tools: Data, Software and Production Engineering

Unix Tools: Data, Software and Production Engineering

Grow from being a Unix novice to Unix wizard status! Process big data, analyze software code, run DevOps tasks and excel in your everyday job through the amazing power of the Unix shell and command-line tools.

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Big Data for Agri-Food: Principles and Tools

Big Data for Agri-Food: Principles and Tools

As the big data era unfolds, developments in sensor and information technologies are evolving quickly. As a result, science and businesses are yielding enormous amounts of data. Ideally this data provides valuable insights for decision-making in real time. But processing data the traditional way is no longer possible. Join Wageningen University & Research, #1 university Animal Sciences and Agriculture, and learn how to best handle big data sets. Enrol now.

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