Our Courses

Introduction to R Programming for Data Science

Introduction to R Programming for Data Science

When working in the data science field you will definitely become acquainted with the R language and the role it plays in data analysis. This course introduces you to the basics of the R language such as data types, techniques for manipulation, and how to implement fundamental programming tasks.
You will begin the process of understanding common data structures, programming fundamentals and how to manipulate data all with the help of the R programming language.

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  • 11 hours
  • English
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Leading Oneself with Purpose and Meaning

Leading Oneself with Purpose and Meaning

Before we can lead others well, we must first learn to lead ourselves well. Knowing your why is an important part of this journey. In this course, you will identify your core purpose and recognize meaning in your life, explore the power of spirituality and embracing our mortality, create a lasting impact by serving a greater good, describe your character and practice personal excellence.

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  • 33 hours
  • English
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3D Interaction Design in Virtual Reality

3D Interaction Design in Virtual Reality

This course will teach you about one of the most important aspects of VR, how you interact with a VR world. Virtual Reality is completely different from an on screen app or game. You are completely immersed in a VR world…

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  • English
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Creating Custom Callbacks in Keras

Creating Custom Callbacks in Keras

In this 1.5-hour long project-based course, you will learn to create a custom callback function in Keras and use the callback during a model training process.

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  • 2 hours
  • English
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Quantum Optics 2 - Two photons and more

Quantum Optics 2 - Two photons and more

"Quantum Optics 1, Single photons", allowed learners to be introduced to the basic principles of light quantization, and to the standard formalism of Quantum Optics. All the examples were taken in single photons phenomena, including applications to quantum technologies.

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  • 13 hours
  • English
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Stability and Capability in Quality Improvement

Stability and Capability in Quality Improvement

In this course, you will learn to analyze data in terms of process stability and statistical control and why having a stable process is imperative prior to perform statistical hypothesis testing. You will create statistical process control charts for both continuous and discrete data using R software. You will analyze data sets for statistical control using control rules based on probability. Additionally, you will learn how to assess a process with respect to how capable it is of meeting specifications, either internal or external, and make decisions about process improvement.

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  • 10 hours
  • English
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Fundamentals of Digital Image and Video Processing

Fundamentals of Digital Image and Video Processing

In this class you will learn the basic principles and tools used to process images and videos, and how to apply them in solving practical problems of commercial and scientific interests.

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  • 36 hours
  • English
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Dice Game in Python

Dice Game in Python

By the end of this project, you will create a dice game using Python.

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  • 2 hours
  • English
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Scikit-Learn For Machine Learning Classification Problems

Scikit-Learn For Machine Learning Classification Problems

Hello everyone and welcome to this new hands-on project on Scikit-Learn Library for solving machine learning classification problems.

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  • 2 hours
  • English
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Accessibility Tutorial

Accessibility Tutorial

Start learning Web Accessibility with the W3Schools course and improve your Web Development skills. In this tutorial you will learn how to make accessible websites. That means websites that can be used by everyone, also…

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  • 7 hours
  • English
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Surviving Disruptive Technologies (On Demand)

Surviving Disruptive Technologies (On Demand)

The purpose of this course is to help individuals and organizations survive when confronted with disruptive technologies that threaten their current way of life. We will look at a general model of survival and use it to analyze companies and industries that have failed or are close to failing. Examples of companies that have not survived include Kodak, a firm over 100 years old, Blockbuster and Borders. It is likely that each of us has done business with all of these firms, and today Kodak and Blockbuster are in bankruptcy and Borders has been liquidated.

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  • 8 hours
  • English
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Concurrent Programming in Java

Concurrent Programming in Java

This course teaches learners (industry professionals and students) the fundamental concepts of concurrent programming in the context of Java 8. Concurrent programming enables developers to efficiently and correctly mediate the use of shared resources in parallel programs.

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  • 19 hours
  • English
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Rigid Body Dynamics

Rigid Body Dynamics

This course teaches dynamics, one of the basic mechanics subjects of Mechanical Engineering. Students would be able to organize their knowledge about force and motion, work-energy, impulse-momentum in view of Newton's 2nd law and its integration over time and displacement. The Engineering Dynamics consists of two parts: particle dynamics and rigid body dynamics. This is the second part of the dynamics: rigid body dynamics

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  • 14 hours
  • English
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What Are the 4 A’s of Marketing - Jagdish Sheth

What Are the 4 A’s of Marketing - Jagdish Sheth

The most common framework in marketing is the 4Ps of Marketing (Price, Product, Place, and Promotion). However, this is a company perspective about marketing and the 4A’s of marketing is a customer perspective on marketing. Customers are looking for value and the 4A’s is a value creation framework. Each A has two dimensions. For instance, acceptability is functional and psychological. Affordability encapsulates the ability and willingness to pay, and accessibility focuses on availability and convenience. Lastly, awareness looks at product and brand knowledge.

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  • English
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Optimizing Applications Using Cloud Profiler

Optimizing Applications Using Cloud Profiler

This is a self-paced lab that takes place in the Google Cloud console. In this lab, you will learn how to use the Cloud Operations Tracing and Profiler tools to diagnose and correct application latencies.

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  • 2 hours
  • English
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Theory of Angular Momentum

Theory of Angular Momentum

This course can also be taken for academic credit as ECEA 5611, part of CU Boulder’s Master of Science in Electrical Engineering degree.
This course introduces the quantum mechanical concept of angular momentum operator and its relationship with rotation operator. It then presents the angular momentum operators, their eigenvalues and eigenfunctions. Finally, it covers the theory of angular momentum addition.
At the end of this course learners will be able to:
1. describe and analyze angular momentum states using quantum mechanically defined angular momentum operators,

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  • 13 hours
  • English
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Performance Monitoring For Application Developers

Performance Monitoring For Application Developers

This course is designed for those who want to get the most out of the applications you write. Learn about the different tools and strategies for diagnosing areas of concern regarding application performance. All assignments are hands-on, and there is nothing to install on your own computer. All work can be completed in the browser.

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  • 10 hours
  • English
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Microsoft Azure Services and Lifecycles

Microsoft Azure Services and Lifecycles

In this course, you will learn how Microsoft Azure can help you secure access to cloud resources, what it means to build a cloud governance strategy, and how Microsoft Azure adheres to common regulatory and compliance standards.
With the rise of remote work, bring your own device (BYOD), mobile applications, and cloud applications, the primary security boundary has shifted from firewalls and physical access controls to identity.

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  • 7 hours
  • English
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Machine Learning with Spark on Google Cloud Dataproc

Machine Learning with Spark on Google Cloud Dataproc

This is a self-paced lab that takes place in the Google Cloud console.
In this lab you will learn how to implement logistic regression using a machine learning library for Apache Spark running on a Google Cloud Dataproc cluster to develop a model for data from a multivariable dataset.

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  • 2 hours
  • English
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Support Interactive Learning with Genially

Support Interactive Learning with Genially

By the end of this project, you will be ready to engage your students using the interactive learning opportunites that Genially provides.

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  • 1 hour
  • English
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Panel Data Analysis with R

Panel Data Analysis with R

In this 1-hour long project-based course, you will learn how to conduct Panel Data (Regression) Analysis.

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  • 2 hours
  • English
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Digital Communication and Emotion

Digital Communication and Emotion

Communication online can be hard, especially when emotions get involved. Whether you’re facing someone’s sarcastic joke or a heated discussion, digital communication requires finesse. Even in normal situations, this communication can benefit from specific skills that let you get your message across clearly on any medium. However, you may still wonder about the best ways to go about online communication.

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  • 7 hours
  • English
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Analyzing Video with OpenCV and NumPy

Analyzing Video with OpenCV and NumPy

In this one hour long project-based course, you will learn the basics of reading, analyzing and writing video using Python, NumPy and OpenCV.

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  • 3 hours
  • English
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Internet of Things V2: Setting up and Using Cloud Services

Internet of Things V2: Setting up and Using Cloud Services

Have you wondered what exactly AWS is and why is it important? Do you want to make informed design decisions about which services to use? Do you want to gain expertise to leverage the cloud for your own projects?
In this course, you will learn to interface with the AWS cloud. You will then develop software to send data to and receive data from the cloud. Along the way, you’ll learn how to structure your project with a variety of these difference services.
Learning Goals:
After completing this course, you will be able to:

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  • 10 hours
  • English
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Accountability and Employee Engagement

Accountability and Employee Engagement

Being a successful leader in complex technical organization requires being ultimately accountable for your team’s performance and meeting commitments to all your stakeholders. This second Leading Technical Organizations course, "Accountability and Employee Engagement", explores how organizational leaders use different decision-making processes for different situations and that they are ultimately accountable for all results. You will also learn how a company’s culture affects strategy, risk and meeting stakeholder commitments.

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  • 25 hours
  • English
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