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How Google does Machine Learning
Our Courses
Analyze Website Visitors with Google Analytics Segments
In this project you will learn how to use segments in Google Analytics and how they provide a deeper analysis of your website visitors. You will learn how to set up and use segments. You will learn about system segments and custom segments. You will also learn how to import segments. You will understand how using segments helps you make better decisions when it comes to increasing and converting your website traffic. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
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Course by
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Self Paced
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3 hours
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English
Accounting Data Analytics with Python
This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor.
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Course by
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Self Paced
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43 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
Install and use Matomo on Windows IIS server
Learn how to install and use Matomo, leading free open source web analytics software, on Windows IIS server for local testing or production
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Course by
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Self Paced
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3 hours
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English
Business intelligence and data analytics: Generate insights
‘Megatrends’ heavily influence today’s organisations, industries and societies, and your ability to generate insights in this area is crucial to your organisation’s success into the future. This course will introduce you to analytical tools and skills you can use to understand, analyse and evaluate the challenges and opportunities ‘megatrends’ will inevitably bring to your organisation. Via structured learning activities you will explore how these trends can be addressed through sustainability-oriented innovation.
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Course by
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Self Paced
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13 hours
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English
Introduction to Programming
Designed for the not-yet-experienced programmer, this course will provide you with a structured foundation for developing complex programs in the fields of computer science or data science. If you are a self-taught programmer with scattered bits of understanding, or a complete novice, this is the course for you. Here, you will gain a thorough understanding of how to write programs to solve problems, through structured, scaffolded, hands-on exercises with many examples and opportunities to practice.
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Course by
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Self Paced
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36 hours
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English
Foundations of Data Science
This is the first of seven courses in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace.
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Course by
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Self Paced
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23 hours
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English
Intro to Analytic Thinking, Data Science, and Data Mining
Welcome to Introduction to Analytic Thinking, Data Science, and Data Mining. In this course, we will begin with an exploration of the field and profession of data science with a focus on the skills and ethical considerations required when working with data. We will review the types of business problems data science can solve and discuss the application of the CRISP-DM process to data mining efforts.
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Course by
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Self Paced
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7 hours
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English
Meta Marketing Science Certification Exam
This course helps you prepare for the Meta Marketing Science Certification exam. You’ll be guided through scheduling and taking the exam through Meta Blueprint. You’ll get access to the study guide and other resources to help you prepare for the exam.
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Course by
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Self Paced
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1 hour
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English
Data Science for Business Innovation
This is your chance to learn all about Data Science for Business innovation and future-proof your career. Match your business experience tech and analytics! The Data Science for Business Innovation nano-course is a compendium of the must-have expertise in data science for executives and managers to foster data-driven innovation. The course explains what Data Science is and why it is so hyped.
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Course by
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Self Paced
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7 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
Modern Data Warehouse Analytics in Microsoft Azure
In this course, you will learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build your foundational knowledge of cloud data services within Microsoft Azure. You will explore the processing options available for building data analytics solutions in Azure. You will explore Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. This is the fourth course in a program of five courses to help prepare you to take the Exam DP-900: Microsoft Azure Data Fundamentals.
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Course by
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Self Paced
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4 hours
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English
Code Free Data Science
The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data. Predicting future trends and behaviors allows for proactive, data-driven decisions.
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Course by
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Self Paced
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14 hours
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English
Creating Advanced Reports with SAS Visual Analytics
In this course, you learn how to create advanced data items, filters, and parameters in SAS Visual Analytics.
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Course by
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Self Paced
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9 hours
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English
Build Image Quality Inspection using AWS Lookout for Vision
In this guided project, you will learn how to build automated image quality inspection using Amazon Lookout for Vision. Amazon Lookout for Vision is a Machine Learning as a Service from Amazon Web services which you could leverage to do Image Analytics and address interesting use cases such as drone detection, defect detection, object detection, smile detection, fall detection without writing a single line of code. Please note: As part of this course, you would need your AWS Account to complete the course. It would be charged as per your usage of AWS Lookout for Vision service.
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Course by
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Self Paced
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3 hours
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English
Prediction Models with Sports Data
In this course the learner will be shown how to generate forecasts of game results in professional sports using Python. The main emphasis of the course is on teaching the method of logistic regression as a way of modeling game results, using data on team expenditures. The learner is taken through the process of modeling past results, and then using the model to forecast the outcome games not yet played. The course will show the learner how to evaluate the reliability of a model using data on betting odds. The analysis is applied first to the English Premier League, then the NBA and NHL.
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Course by
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Self Paced
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34 hours
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English
Operational Analytics with Microsoft Azure Synapse Analytics
In this course, you will learn how to perform operational analytics against Azure Cosmos DB using the Azure Synapse Link feature within Azure Synapse Analytics. You will learn how hybrid transactional and analytical processing can help you perform operational analytics with Azure Synapse Analytics.
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Course by
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Self Paced
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12 hours
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English
The Fundamental of Data-Driven Investment
In this course, the instructor will discuss the fundamental analysis of investment using R programming. The course will cover investment analysis topics, but at the same time, make you practice it using R programming. This course's focus is to train you to do the elemental analysis for investment management that you might need to do in your job every day. Additionally, the study note to do using Python programming will be provided. The course is designed with the assumption that most students already have a little bit of knowledge in financial economics.
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Course by
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Self Paced
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19 hours
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English
Mobile Marketing, Optimization Tactics, and Analytics
Welcome to Course 3 of the E-Marketing Specialization: Mobile Marketing Optimization Tactics, and Analytics. Our final course will start with an introduction to mobile marketing. The remaining modules will provide you with the knowledge needed to increase sales, boost engagement, and interpret website analytics. This course will culminate in a peer-reviewed activity, in which you will have the opportunity to apply all the skills you have learned throughout the previous courses in this series.
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Course by
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Self Paced
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12 hours
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English
Data Analytics in Accounting Capstone
This capstone is the last course in the Data Analytics in Accountancy Specialization. In this capstone course, you are going to take the knowledge and skills you have acquired from the previous courses and apply them to a real-world problem.
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Course by
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Self Paced
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19 hours
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English
CASL Programming for Distributed Computing in SAS® Viya®
Welcome to the CASL Programming for Distributed Computing in SAS Viya course. SAS Viya is an AI, analytic and data management platform running on a scalable, distributed, cloud-native architecture. In this course you will learn how how to use the native CAS programming language (CASL) to leverage SAS Cloud Analytics Services (CAS), the high-performance, in-memory analytics and distributed computing engine in SAS Viya .
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Course by
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Self Paced
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English
Data Analytics for Lean Six Sigma
Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is. I will emphasize on use of data analytics tools and the interpretation of the outcome. I will use many different examples from actual Lean Six Sigma projects to illustrate all tools.
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Course by
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Self Paced
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11 hours
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English
Supervised Text Classification for Marketing Analytics
Marketing data often requires categorization or labeling. In today’s age, marketing data can also be very big, or larger than what humans can reasonably tackle. In this course, students learn how to use supervised deep learning to train algorithms to tackle text classification tasks. Students walk through a conceptual overview of supervised machine learning and dive into real-world datasets through instructor-led tutorials in Python.
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Course by
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Self Paced
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12 hours
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English
Introduction to Data Analytics for Accounting Professionals
This course covers the foundations of data analytics and how to conduct and apply this to projects in your organization. This includes the following: - What does it mean to have a data-driven mindset? Having the right mindset will allow you to understand the problem that needs to be solved and make or recommend appropriate data-driven decisions in the context of the organization’s strategy and technologies. - What are the key considerations when identifying, establishing, and implementing a data analytics project?
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Course by
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Self Paced
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8 hours
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English
Foundations of Business Intelligence
This is the first of three courses in the Google Business Intelligence Certificate, which will help develop the skills needed to apply for entry-level roles as a business intelligence (BI) professional. People who work in BI help organizations access the right data, use data to help businesses grow and improve, and put insights into action. In this course, you’ll discover the role of BI professionals within an organization and explore BI tools you can use on the job.
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Course by
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Self Paced
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25 hours
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English