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How Google does Machine Learning
Our Courses
Working with Big Data
By the end of this project, you will set up an environment for Big Data Development using Visual Studio Code, MongoDB and Apache Spark.
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Course by
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Self Paced
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3 hours
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English
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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Course by
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Self Paced
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7 hours
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English
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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Course by
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Self Paced
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10
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English
Uso de datos en las organizaciones del S.XXI
Este curso te brinda herramientas prácticas para entender el uso de datos en distintos tipos de organizaciones y así tomar decisiones informadas aplicando prácticas de aseguramiento de calidad, éticas y con una perspectiva inclusiva con la información obtenida. A través de 3 módulos podrás identificar los enfoques y las estrategias de analítica de datos y big data y entender su relación con la resolución de problemas. Así mismo, conocerás los fundamentos de las organizaciones data-driven, o basadas en datos.
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Course by
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Self Paced
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11 hours
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Spanish
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
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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Course by
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32
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English
Ubiquitous Learning and Instructional Technologies
This course will analyze currently available technologies for learning. Areas addressed include: learning management systems, intelligent tutors, computer adaptive testing, gamification, simulations, learning in and through social media and peer interaction, universal design for learning, differentiated instruction systems, big data and learning analytics, attention monitoring, and affect-aware systems.
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Course by
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Self Paced
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14 hours
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English
Trabajando con Dask
En este curso basado en un proyecto y de 1 hora de duración, aprenderás sobre Dask y la importancia de usarlo en proyectos de Big Data para grandes análisis de datos en procesamiento paralelo.
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Course by
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Self Paced
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1 hour
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Spanish
Tools for Data Science
In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio.
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Course by
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Self Paced
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18 hours
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English
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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Course by
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Self Paced
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9 hours
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English
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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Course by
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Self Paced
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8 hours
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English
Teaching Impacts of Technology: Data Collection, Use, and Privacy
In this course you’ll focus on how constant data collection and big data analysis have impacted us, exploring the interplay between using your data and protecting it, as well as thinking about what it could do for you in the future. This will be done through a series of paired teaching sections, exploring a specific “Impact of Computing” in your typical day and the “Technologies and Computing Concepts” that enable that impact, all at a K12-appropriate level.
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Course by
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Self Paced
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13 hours
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English
Systems Biology and Biotechnology
Design systems-level experiments using appropriate cutting edge techniques, collect big data, and analyze and interpret small and big data sets quantitatively. The Systems Biology Specialization covers the concepts and methodologies used in systems-level analysis of biomedical systems. Successful participants will learn how to use experimental, computational and mathematical methods in systems biology and how to design practical systems-level frameworks to address questions in a variety of biomedical fields.
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Course by
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Self Paced
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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
Statistics for Genomic Data Science
An introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science 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
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
Software Architecture Patterns for Big Data
The course is intended for individuals looking to understand the architecture patterns necessary to take large software systems that make use of big data to production. You will transform big data prototypes into high quality tested production software. After measuring the performance characteristics of distributed systems, you will identify trouble areas and implement scalable solutions to improve performance.
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Course by
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Self Paced
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49 hours
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English
Software Architecture for Big Data
This specialization is for software engineers interested in the principles of building and architecting large software systems that use big data. Through three courses you will learn about how to build and architect performant distributed systems from industry experts at Initial Capacity. This specialization can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition.
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Course by
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Self Paced
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English
Serverless Machine Learning with Tensorflow on Google Cloud em Português Brasileiro
Este curso intensivo sob demanda de quatro dias oferece aos participantes uma introdução sobre como projetar e criar sistemas de machine learning no Google Cloud Platform.
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Course by
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Self Paced
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Portuguese
Serverless Machine Learning with Tensorflow on Google Cloud auf Deutsch
***Wir möchten Sie darüber informieren, dass die Spezialisierung "Data Engineer, Big Data and ML on Google Cloud auf Deutsch" am 10. November 2020 geschlossen und nicht mehr angeboten wird.*** In diesem einwöchigen On-Demand-Intensivkurs erhalten Teilnehmer eine praxisorientierte Einführung in das Entwerfen und Erstellen von Modellen für das maschinelle Lernen (ML) mithilfe der Google Cloud Platform.
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Course by
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Self Paced
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15 hours
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German
Serverless Data Processing with Dataflow
It is becoming harder and harder to maintain a technology stack that can keep up with the growing demands of a data-driven business. Every Big Data practitioner is familiar with the three V’s of Big Data: volume, velocity, and variety. What if there was a scale-proof technology that was designed to meet these demands? Enter Google Cloud Dataflow. Google Cloud Dataflow simplifies data processing by unifying batch & stream processing and providing a serverless experience that allows users to focus on analytics, not infrastructure.
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Course by
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Self Paced
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English
Serverless Data Processing Dataflow em Português Brasileiro
Está se tornando cada vez mais difícil manter uma pilha de tecnologia que possa acompanhar as crescentes demandas de um negócio orientado a dados. Todo praticante de Big Data está familiarizado com os três V’s do Big Data: volume, velocidade e variedade. E se houvesse uma tecnologia à prova de escala projetada para atender a essas demandas? Entre no Google Cloud Dataflow. O Google Cloud Dataflow simplifica o processamento de dados unificando o processamento em lote e fluxo e fornecendo uma experiência sem servidor que permite que os usuários se concentrem na análise, não na infraestrutura.
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Course by
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Self Paced
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Portuguese
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
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
Security and Privacy for Big Data - Part 1
Welcome to our comprehensive course focused on security within Big Data environments. This course aims to provide you with a deep understanding of cryptographic principles and equip you with the tools necessary to manage access controls effectively within any Big Data system.
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Course by
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Self Paced
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1 hour
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English