Our Courses

University Studies for Student Veterans

University Studies for Student Veterans

The skills you learned in the military will go a long way toward helping you succeed in college, but if you’re looking for some extra support – or an academic tune-up – then you’ll find it in this course. We know that the culture of higher education is different from the culture of the military in meaningful ways, and we also know that one of the keys to excelling in college–especially for student veterans–is learning to navigate these differences successfully, right from the very start.

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  • 13 hours
  • English
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Conversational English Skills

Conversational English Skills

Do you want to communicate with English speakers fluently? Welcome to our course. The course consists of 6 units with different topics: meeting new people, the people in your life, eating in and eating out, the reason to learn English, good times and bad times, and hobbies. From this course, you will have a good knowledge of conversational English skills in your daily life. We invite you to learn with our teachers and friends from different countries in the videos, such as the United States, the United Kingdom, Ireland, Canada, Australia, and Columbia. Are you ready? Let’s go!

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  • 9 hours
  • English
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Design and Interpretation of Clinical Trials

Design and Interpretation of Clinical Trials

Clinical trials are experiments designed to evaluate new interventions to prevent or treat disease in humans. The interventions evaluated can be drugs, devices (e.g., hearing aid), surgeries, behavioral interventions (e.g., smoking cessation program), community health programs (e.g. cancer screening programs) or health delivery systems (e.g., special care units for hospital admissions). We consider clinical trials experiments because the investigators rather than the patients or their doctors select the treatment the patients receive.

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  • 10 hours
  • English
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Getting and Cleaning Data

Getting and Cleaning Data

Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data.

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  • 20 hours
  • English
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Single Variable Calculus

Single Variable Calculus

Calculus is one of the grandest achievements of human thought, explaining everything from planetary orbits to the optimal size of a city to the periodicity of a heartbeat. This brisk course covers the core ideas of single-variable Calculus with emphases on conceptual understanding and applications. The course is ideal for students beginning in the engineering, physical, and social sciences.

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  • 14 hours
  • English
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Exploratory Data Analysis with MATLAB

Exploratory Data Analysis with MATLAB

In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.

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  • 19 hours
  • English
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Building Batch Data Pipelines on Google Cloud

Building Batch Data Pipelines on Google Cloud

Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud for data transformation including BigQuery, executing Spark on Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud using Qwiklabs.

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  • 17 hours
  • English
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Data Processing and Feature Engineering with MATLAB

Data Processing and Feature Engineering with MATLAB

In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate-level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling.

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  • 20 hours
  • English
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API Design and Fundamentals of Google Cloud's Apigee API Platform

API Design and Fundamentals of Google Cloud's Apigee API Platform

In this course, you learn how to design APIs, and how to use OpenAPI specifications to document them. You learn about the API life cycle, and how the Apigee API platform helps you manage all aspects of the life cycle. You learn about how APIs can be designed using API proxies, and how APIs are packaged as API products to be used by app developers.\nThrough a combination of lectures, hands-on labs, and supplemental materials, you will learn how to design, build, secure, deploy, and manage API solutions using Google Cloud's Apigee API Platform.

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  • 8 hours
  • English
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Introduction to Cybersecurity Tools & Cyber Attacks

Introduction to Cybersecurity Tools & Cyber Attacks

This course gives you the background needed to understand basic Cybersecurity. You will learn the history of Cybersecurity, types and motives of cyber attacks to further your knowledge of current threats to organizations and individuals. Key terminology, basic system concepts and tools will be examined as an introduction to the Cybersecurity field.
You will learn about critical thinking and its importance to anyone looking to pursue a career in Cybersecurity.

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  • 18 hours
  • English
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Social Media Advertising

Social Media Advertising

Social media platforms are driven by digital advertising. As a result, social media advertising is affordable and can be purchased at almost any budget. Targeting options in social media advertising are also sophisticated. It is possible to tailor ads around a user’s behaviors (e.g., likes, posts and clicks). This course unpacks small business use cases of Facebook, Instagram and Twitter advertising. From basic campaigns, to advanced techniques including lookalike modeling and audience retargeting, this course shows how to effectively advertise on three major social media platforms.

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  • 17 hours
  • English
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ART of the MOOC: Public Art and Pedagogy

ART of the MOOC: Public Art and Pedagogy

Students of this course may try their hand at their own public art interventions, or simply focus on learning from the theory of public practice and its recent history. Designed by artist and Duke professor, Pedro Lasch, and co-taught by Creative Time artistic director, Nato Thompson, this course presents public culture and art in their radically reinenvented contemporary forms. The lectures link major developments of recent decades to wider topics like spatial politics, everyday social structures, and experimental education.

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  • 9 hours
  • English
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IT Security: Defense against the digital dark arts

IT Security: Defense against the digital dark arts

This course covers a wide variety of IT security concepts, tools, and best practices. It introduces threats and attacks and the many ways they can show up. We’ll give you some background of encryption algorithms and how they’re used to safeguard data. Then, we’ll dive into the three As of information security: authentication, authorization, and accounting. We’ll also cover network security solutions, ranging from firewalls to Wifi encryption options.

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  • 32 hours
  • English
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The Social and Technical Context of Health Informatics

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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  • 9 hours
  • English
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The Ancient Greeks

The Ancient Greeks

This is a survey of ancient Greek history from the Bronze Age to the death of Socrates in 399 BCE. Along with studying the most important events and personalities, we will consider broader issues such as political and cultural values and methods of historical interpretation.

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  • 20 hours
  • English
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3D Models for Virtual Reality

3D Models for Virtual Reality

This course will begin your journey to creating Virtual Reality experiences. A Virtual Reality experience is a new world that you step into and are entirely immersed in. Creating a VR experience means creating that world and all the objects in it.

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  • 16 hours
  • English
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Smart Analytics, Machine Learning, and AI on Google Cloud

Smart Analytics, Machine Learning, and AI on Google Cloud

Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces Notebooks and BigQuery machine learning (BigQuery ML). Also, this course covers how to productionalize machine learning solutions using Vertex AI.

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  • 7 hours
  • English
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Reliable Google Cloud Infrastructure: Design and Process

Reliable Google Cloud Infrastructure: Design and Process

This course equips students to build highly reliable and efficient solutions on Google Cloud using proven design patterns. It is a continuation of the Architecting with Google Compute Engine or Architecting with Google Kubernetes Engine courses and assumes hands-on experience with the technologies covered in either of those courses. Through a combination of presentations, design activities, and hands-on labs, participants learn to define and balance business and technical requirements to design Google Cloud deployments that are highly reliable, highly available, secure, and cost-effective.

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  • 8 hours
  • English
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Project Planning: Putting It All Together

Project Planning: Putting It All Together

This is the third course in the Google Project Management Certificate program. This course will explore how to map out a project in the second phase of the project life cycle: the project planning phase. You will examine the key components of a project plan, how to make accurate time estimates, and how to set milestones. Next, you will learn how to build and manage a budget and how the procurement processes work. Then, you will discover tools that can help you identify and manage different types of risk and how to use a risk management plan to communicate and resolve risks.

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  • 29 hours
  • English
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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization

In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically.

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  • 24 hours
  • English
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Capstone: Applying Project Management in the Real World

Capstone: Applying Project Management in the Real World

In this final, capstone course of the Google Project Management Certificate, you will practice applying the project management knowledge and skills you have learned so far. We encourage learners to complete Courses 1-5 before beginning the final course, as they provide the foundation necessary to complete the activities in this course.

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  • 34 hours
  • English
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Cybersecurity Roles, Processes & Operating System Security

Cybersecurity Roles, Processes & Operating System Security

This course gives you the background needed to understand basic Cybersecurity around people. process and technology. You will learn:
● Understand the key cybersecurity roles within an Organization. ● List key cybersecurity processes and an example of each process.● Describe the architecture, file systems, and basic commands for multiple operating systems including Windows, Mac/OS, Linux and Mobile.● Understand the concept of Virtualization as it relates to cybersecurity

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  • 12 hours
  • English
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Introduction to Scrum Master Training

Introduction to Scrum Master Training

This course is designed to help Scrum beginners learn the foundational knowledge to become proficient with Agile Scrum. Throughout the course, learners will explore Agile methodologies and benefits of building incrementally. They will also learn about the roles within Scrum teams, events that happen during a Sprint, Agile artifacts, and the Definition of Done for a Sprint.

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  • 10 hours
  • English
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Six Sigma Advanced Define and Measure Phases

Six Sigma Advanced Define and Measure Phases

This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the "Define" and "Measure" phases of the DMAIC structure of Six Sigma.

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  • 15 hours
  • English
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AWS Cloud Practitioner Essentials

AWS Cloud Practitioner Essentials

Welcome to AWS Cloud Practitioner Essentials. If you’re new to the cloud, whether you’re in a technical or non-technical role such as finance, legal, sales, marketing, this course will provide you with an understanding of fundamental AWS Cloud concepts to help you gain confidence to contribute to your organization’s cloud initiatives. This course is also the starting point to prepare for your AWS Certified Cloud Practitioner certification whenever it’s convenient for you.

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  • 18 hours
  • English
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