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Big Data, Genes, and Medicine

Big Data, Genes, and Medicine

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of.

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  • Self Paced
  • 40 ساعات
  • الإنجليزية
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Scalable Machine Learning on Big Data using Apache Spark

Scalable Machine Learning on Big Data using Apache Spark

This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. Apache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner.

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  • 7 ساعات
  • الإنجليزية
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Big Data Analytical Platform on Alibaba Cloud

Big Data Analytical Platform on Alibaba Cloud

Course Description Building an Analytical Platform on Alibaba Cloud can empower how you take in, analyze, and demonstrate clear metrics from a set of Big Data. This course is designed to teach engineers how to use Alibaba Cloud Big Data products.

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  • 8 ساعات
  • الإنجليزية
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Big Data Analysis to a Slide Presentation

Big Data Analysis to a Slide Presentation

This is a self-paced lab that takes place in the Google Cloud console. This lab leverages two Google developer platforms: G Suite and Google Cloud Platform (GCP). It uses GCP's BigQuery API, Sheets, and Slides to collect, analyze and present data.

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  • Self Paced
  • 1 ساعات
  • الإنجليزية
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Using SAS Viya REST APIs with Python and R

Using SAS Viya REST APIs with Python and R

SAS Viya is an in-memory distributed environment used to analyze big data quickly and efficiently. In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn to upload data into the cloud, analyze data, and create predictive models with SAS Viya using familiar open source functionality via the SWAT package -- the SAS Scripting Wrapper for Analytics Transfer. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems.

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  • 18 ساعات
  • الإنجليزية
الاشتراك الشهري
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Data Management with Databricks: Big Data with Delta Lakes

Data Management with Databricks: Big Data with Delta Lakes

In this 2-hour guided project, "Data Management with Databricks: Big Data with Delta Lakes" you will collaborate with the instructor to achieve the following objectives: 1-Create Delta Tables in Databricks and write data to them. Gain hands-on experience in setting up and managing Delta Tables, a powerful data storage format optimized for performance and reliability. 2-Transform a Delta table using Python and leverage SQL to query the data for creating a comprehensive dashboard.

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  • 3 ساعات
  • الإنجليزية
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Bioconductor for Genomic Data Science

Bioconductor for Genomic Data Science

Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns Hopkins University.

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  • Self Paced
  • 9 ساعات
  • الإنجليزية
الاشتراك الشهري
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Introduction and Programming with IoT Boards

Introduction and Programming with IoT Boards

Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course will be very useful to senior undergraduate and graduate students as well as engineers who are working in the industry.

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  • Self Paced
  • 7 ساعات
  • الإنجليزية
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Geospatial Big Data Visualization with Kepler GL

Geospatial Big Data Visualization with Kepler GL

In this 1-hour long project-based course, you will learn how to easily create beautiful data visualization with Kepler and effectively design different geospatial data visualizations.

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  • 3 ساعات
  • الإنجليزية
الاشتراك الشهري
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Data and Urban Governance

Data and Urban Governance

Since the beginning of the 2000s, cities have witnessed a massive influx of data, transforming how cities are governed. Data has an impact on how city life is structured, as it influences coalitions, actors, instruments, policies, and forms of regulation. In this MOOC, we will look at this shift more closely: what has the advent of big data done to urban governance? Have platforms disrupted local authorities? How has big data changed local politics? How do we govern using algorithms? What is the place of citizens in the digital city?

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  • Self Paced
  • 11 ساعات
  • الإنجليزية
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Security and Privacy for Big Data - Part 2

Security and Privacy for Big Data - Part 2

Welcome to our focused course on Privacy and Data Protection in Big Data Environments. Here, you will delve into not only privacy-preserving methodologies but also explore crucial data protection regulations and concepts. By the end of this course, you'll be empowered to navigate your next Big Data project with confidence, assuring all aspects of privacy and data protection are well-managed. This course will sharpen your ability to identify potential vulnerabilities in Big Data projects, providing you with the tools to fortify your systems for long-term sustainability.

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  • 1 ساعات
  • الإنجليزية
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Getting Started with CyberGIS

Getting Started with CyberGIS

This course is intended to introduce students to CyberGIS—Geospatial Information Science and Systems (GIS)—based on advanced cyberinfrastructure as well as the state of the art in high-performance computing, big data, and cloud computing in the context of geospatial data science. Emphasis is placed on learning the cutting-edge advances of cyberGIS and its underlying geospatial data science principles.

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  • Self Paced
  • 9 ساعات
  • الإنجليزية
الاشتراك الشهري
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Spatial Data Science and Applications

Spatial Data Science and Applications

Spatial (map) is considered as a core infrastructure of modern IT world, which is substantiated by business transactions of major IT companies such as Apple, Google, Microsoft, Amazon, Intel, and Uber, and even motor companies such as Audi, BMW, and Mercedes. Consequently, they are bound to hire more and more spatial data scientists.

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  • 12 ساعات
  • الإنجليزية
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Statistics for Machine Learning for Investment Professionals

Statistics for Machine Learning for Investment Professionals

One of the biggest changes in the past decade is the rapid adoption of machine learning, AI, and big data in investment decision making. This course introduces learners with knowledge of the investment industry to foundational statistical concepts underpinning machine learning as well as advanced AI techniques. This course demonstrates core modeling frameworks along with carefully selected real-world investment practice examples. The course seeks to familiarize learners with two important programming languages — Python and R (no prior knowledge of Python or R necessary).

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  • Self Paced
  • 18 ساعات
  • الإنجليزية
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Data Science Ethics

Data Science Ethics

What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values.

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  • Self Paced
  • 15 ساعات
  • الإنجليزية
الاشتراك الشهري
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New Technologies for Business Leaders

New Technologies for Business Leaders

This introductory course is developed for high level business people (and those on their way) who want a broad understanding of new Information Technologies and understand their potential for business functions (e.g. marketing, supply change management, finance). This is not a course for people looking for guidance on how to become a deep technical expert or implement these technologies.

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  • 19 ساعات
  • الإنجليزية
الاشتراك الشهري
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Programming with Cloud IoT Platforms

Programming with Cloud IoT Platforms

Internet of Things (IoT) is an emerging area of information and communications technology (ICT) involving many disciplines of computer science and engineering including sensors/actuators, communications networking, server platforms, data analytics and smart applications. IoT is considered to be an essential part of the 4th Industrial Revolution along with AI and Big Data. This course aims at introducing IoT Cloud platforms from Samsung, Microsoft, Amazon, IBM and Google and how they can be used in developing IoT applications. This course will be offered in English.

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  • 6 ساعات
  • الإنجليزية
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Project Planning and Machine Learning

Project Planning and Machine Learning

This course can also be taken for academic credit as ECEA 5386, part of CU Boulder’s Master of Science in Electrical Engineering degree. This is part 2 of the specialization.

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  • 18 ساعات
  • الإنجليزية
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Business intelligence and data warehousing

Business intelligence and data warehousing

Welcome to the specialization course Business Intelligence and Data Warehousing. This course will be completed on six weeks, it will be supported with videos and various documents that will allow you to learn in a very simple way how to identify, design and develop analytical information systems, such as Business Intelligence with a descriptive analysis on data warehouses.

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  • 10 ساعات
  • الإنجليزية
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Introduction to Digital health

Introduction to Digital health

This course introduces the field of digital health and the key concepts and definitions in this emerging field. The key topics include Learning Health Systems and Electronic Health Records and various types of digital health technologies to include mobile applications, wearable technologies, health information systems, telehealth, telemedicine, machine learning, artificial intelligence and big data.

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  • 31 ساعات
  • الإنجليزية
الاشتراك الشهري
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Information Systems Auditing, Controls and Assurance

Information Systems Auditing, Controls and Assurance

The course is awarded The Best Free Online Courses of All Time, and Best Online Courses of the Year (2021 Edition) by Class Central (http://www.classcentral.com). --- Information systems (IS) are important assets to business organizations and are ubiquitous in our daily lives. With the latest IS technologies emerging, such as Big Data, FinTech, Virtual Banks, there are more concerns from the public on how organizations maintain systems’ integrity, such as data privacy, information security, the compliance to the government regulations.

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  • Self Paced
  • 9 ساعات
  • الإنجليزية
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Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro

Serverless Data Analysis with Google BigQuery and Cloud Dataflow em Português Brasileiro

Este curso rápido sob demanda tem uma semana de duração e é baseado no Google Cloud Platform Big Data and Machine Learning Fundamentals.

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  • البرتغالي
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Google Cloud Platform Big Data and Machine Learning Fundamentals em Português Brasileiro

Google Cloud Platform Big Data and Machine Learning Fundamentals em Português Brasileiro

Neste curso, apresentamos os produtos e serviços de Big Data e machine learning do Google Cloud que dão suporte ao ciclo de vida de dados para IA. Nele, você verá os processos, desafios e benefícios de criar um pipeline de Big Data e modelos de machine learning com a Vertex AI no Google Cloud.

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  • البرتغالي
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Análise de Segmentação de Mercado

Análise de Segmentação de Mercado

Nossas boas-vindas ao Curso Análise de Segmentação de Mercado. Neste curso, você aprenderá que as organizações estão adotando tecnologias de Big Data como parte de sua estratégia de negócios e em um mercado orientado a dados, trabalhar com a segmentação de forma eficiente é um grande desafio para a maioria das empresas. Uma segmentação eficaz consiste em agrupar seu público-alvo conforme a característica de cada indivíduo, reduzindo esforços e direcionando corretamente ao objetivo desejado.

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  • Self Paced
  • البرتغالي
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Mejores prácticas para el procesamiento de datos en Big Data

Mejores prácticas para el procesamiento de datos en Big Data

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

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  • 3 ساعات
  • الإسبانية
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