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Our Courses
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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Course by
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Self Paced
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1 hour
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English
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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Course by
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Self Paced
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18 hours
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English
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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Course by
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Self Paced
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3 hours
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English
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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Course by
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Self Paced
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9 hours
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English
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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Course by
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Self Paced
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7 hours
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English
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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Course by
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Self Paced
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3 hours
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English
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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Course by
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Self Paced
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11 hours
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English
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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Course by
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Self Paced
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1 hour
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English
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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Course by
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Self Paced
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9 hours
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English
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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Course by
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Self Paced
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12 hours
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English
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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Course by
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Self Paced
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18 hours
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English
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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Course by
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Self Paced
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15 hours
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English
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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Course by
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Self Paced
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19 hours
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English
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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Course by
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Self Paced
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6 hours
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English
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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Course by
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Self Paced
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18 hours
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English
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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Course by
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Self Paced
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10 hours
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English
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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Course by
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Self Paced
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31 hours
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English
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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Course by
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Self Paced
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9 hours
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English
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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Course by
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Self Paced
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Portuguese
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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Course by
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Self Paced
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Portuguese
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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Course by
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Self Paced
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Portuguese
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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Course by
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Self Paced
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3 hours
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Spanish
Big Data: capstone project
En este último curso de la Especialización Big Data el estudiante tendrá la oportunidad de aplicar algunas de las herramientas y métodos aprendidos en los cursos anteriores en un caso práctico. El objetivo de este Capstone Project es mostrar un ejemplo del trabajo que se realiza diariamente en el departamento de Cosmología del Port d’Informació Científica, en Barcelona. Se trata de crear un clasificador para imágenes de galaxias, a partir de datos del proyecto GalaxyZoo e imágenes y datos del telescopio Sloan Digital Sky Survey.
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Course by
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13 hours
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Spanish
Creando tu plataforma de BIG DATA con EMR
Desarrolla tus habilidades de DE aprendiendo a Crear un cluster de big data de manera rapida y sencilla.
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Course by
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Self Paced
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3 hours
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Spanish
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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Course by
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Self Paced
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12 hours
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English