Our Courses

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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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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Advertising with Meta

Advertising with Meta

This course will establish you as an expert in Meta Ads Manager. Learn how to structure campaigns in Ads Manager by selecting ad objectives, target audience, budget, and placement that fit your unique goals. Learn to create and manage ads across Facebook and Instagram and evaluate and optimize the results of your Ads Manager campaigns. You will end the course by creating an actual ad campaign in Ads Manager to expand not only your knowledge, but your social media marketing portfolio.

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  • 23 hours
  • English
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The Brain and Space

The Brain and Space

This course is about how the brain creates our sense of spatial location from a variety of sensory and motor sources, and how this spatial sense in turn shapes our cognitive abilities.

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  • 10 hours
  • English
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Writing and Editing: Drafting

Writing and Editing: Drafting

This third course in the “Good with Words: Writing and Editing” series will give you a number of strategies to help with what is often the most intimidating, even paralyzing part of the writing process: getting started.
You’ll learn about the “planning fallacy” and “temptation bundling.” You’ll get a chance to experiment with “freewriting” and “writing before you are ready.” And you’ll continue to benefit, through our ongoing “Good Sentences” and “Takeaways” segments, from the models and advice of a diverse set of writers.

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  • 14 hours
  • English
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Data Visualization and Dashboards with Excel and Cognos

Data Visualization and Dashboards with Excel and Cognos

Learn how to create data visualizations and dashboards using spreadsheets and analytics tools. This course covers some of the first steps for telling a compelling story with your data using various types of charts and graphs. You'll learn the basics of visualizing data with Excel and IBM Cognos Analytics without having to write any code.

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  • 24 hours
  • English
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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

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  • 18 hours
  • English
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Custom Models, Layers, and Loss Functions with TensorFlow

Custom Models, Layers, and Loss Functions with TensorFlow

In this course, you will:

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  • 31 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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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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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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Introduction to Relational Databases (RDBMS)

Introduction to Relational Databases (RDBMS)

Are you ready to dive into the world of data engineering? In this beginner level course, you will gain a solid understanding of how data is stored, processed, and accessed in relational databases (RDBMSes). You will work with different types of databases that are appropriate for various data processing requirements.

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  • 19 hours
  • English
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Getting started with TensorFlow 2

Getting started with TensorFlow 2

Welcome to this course on Getting started with TensorFlow 2!
In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and including regularisation, implementing callbacks, and saving and loading models.

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  • 26 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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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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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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Exploring and Preparing your Data with BigQuery

Exploring and Preparing your Data with BigQuery

In this course, we see what the common challenges faced by data analysts are and how to solve them with the big data tools on Google Cloud. You’ll pick up some SQL along the way and become very familiar with using BigQuery and Dataprep to analyze and transform your datasets.

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  • 8 hours
  • English
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Solar Energy Basics

Solar Energy Basics

This course gives you an introduction to the fundamentals of solar power as it applies to solar panel system installations. You will learn to compare solar energy to other energy resources and explain how solar panels, or photovoltaics (PV for short), convert sunlight to electricity. You will be able to identify the key components needed in a basic photovoltaic (solar panel) system, such as is found on a house or building, and explain the function of each component in the system.

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  • 15 hours
  • English
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Research Proposal: Initiating Research

Research Proposal: Initiating Research

Market Research is a growing and important field that is used in many industries around the world. Given all the data that is collected whether by organizations, industries, social media, governments, etc., it’s important that someone can review and sift through all the noise to provide valuable insights. And that’s where you come in as a market researcher. This course will only scratch the surface and provide you a foundational understanding of this field.

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  • 11 hours
  • English
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A Blueprint for Success - Your Video Pre-Production

A Blueprint for Success - Your Video Pre-Production

In this course, we will learn about pre-production, which requires levels of planning before you ever pick up a camera. We will share with you the terminology used widely in production work, along with our ideas for affordable camera gear and editing applications. We’ll also discuss strategies to help you generate story ideas and the focus, find characters, write treatments and scripts, draw storyboards, and even pointers on how to pitch your stories.

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  • 11 hours
  • English
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Generative Design for Additive Manufacturing

Generative Design for Additive Manufacturing

This course introduces you to one of the more common applications of generative design: Additive Manufacturing or 3D printing as it’s also known. In this course, we explore the basics of geometry creation and the mindset shift needed to build a generative design—a deeper understanding of generative design, its parameters, and how to work with the results specifically aimed at making a 3D printed metal part. We develop insightful understanding of the generative workflow by exploring Autodesk® Fusion 360™ tools and combining them with the creative process of taking an idea to a 3D model.

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  • 26 hours
  • English
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Six Sigma Principles

Six Sigma Principles

This course is for you if you are looking to learn more about Six Sigma or refresh your knowledge of the basic components 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 introduce you to the purpose of Six Sigma and its value to an organization. You will learn about the basic principles of Six Sigma and Lean.

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  • 13 hours
  • English
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Vector Calculus for Engineers

Vector Calculus for Engineers

This course covers both the theoretical foundations and practical applications of Vector Calculus. During the first week, students will learn about scalar and vector fields. In the second week, they will differentiate fields. The third week focuses on multidimensional integration and curvilinear coordinate systems. Line and surface integrals are covered in the fourth week, while the fifth week explores the fundamental theorems of vector calculus, including the gradient theorem, the divergence theorem, and Stokes' theorem.

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  • 30 hours
  • English
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Data Science in Real Life

Data Science in Real Life

Have you ever had the perfect data science experience? The data pull went perfectly. There were no merging errors or missing data. Hypotheses were clearly defined prior to analyses. Randomization was performed for the treatment of interest. The analytic plan was outlined prior to analysis and followed exactly. The conclusions were clear and actionable decisions were obvious. Has that every happened to you? Of course not. Data analysis in real life is messy. How does one manage a team facing real data analyses? In this one-week course, we contrast the ideal with what happens in real life.

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  • 7 hours
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Introduction to Machine Learning in Production

Introduction to Machine Learning in Production

In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.

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  • 12 hours
  • English
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