Our Courses

Writing and Editing: Structure and Organization

Writing and Editing: Structure and Organization

This second course in the Good with Words: Writing and Editing series will help you become an effective architect of information, both with your sentences and with your paragraphs. You’ll learn that the traditional advice to “Show, don’t tell” is incomplete and that skilled writers actually switch back and forth between showing and telling.

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  • 15 hours
  • English
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Regression Models

Regression Models

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated.

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  • 54 hours
  • English
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Introduction to Social Media Marketing

Introduction to Social Media Marketing

This course lays the foundation of social media marketing. You’ll learn what social media marketing entails, including the history and the different social media channels that exist. You’ll learn how to select a social media channel that fits your needs, set goals and success metrics, and determine who your target audience is.
By the end of this course, you will be able to:
• Understand the landscape of traditional, digital, and social media marketing
• Understand how to become certified as a Digital Marketing Associate

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  • 33 hours
  • English
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Data Collection and Processing with Python

Data Collection and Processing with Python

This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.

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  • 16 hours
  • English
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Building Resilient Streaming Analytics Systems on Google Cloud

Building Resilient Streaming Analytics Systems on Google Cloud

Processing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud. Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud using QwikLabs.

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  • 8 hours
  • English
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Natural Language Processing with Probabilistic Models

Natural Language Processing with Probabilistic Models

In Course 2 of the Natural Language Processing Specialization, you will:
a) Create a simple auto-correct algorithm using minimum edit distance and dynamic programming,
b) Apply the Viterbi Algorithm for part-of-speech (POS) tagging, which is vital for computational linguistics,
c) Write a better auto-complete algorithm using an N-gram language model, and
d) Write your own Word2Vec model that uses a neural network to compute word embeddings using a continuous bag-of-words model.

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  • 31 hours
  • English
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State Estimation and Localization for Self-Driving Cars

State Estimation and Localization for Self-Driving Cars

Welcome to State Estimation and Localization for Self-Driving Cars, the second course in University of Toronto’s Self-Driving Cars Specialization. We recommend you take the first course in the Specialization prior to taking this course.
This course will introduce you to the different sensors and how we can use them for state estimation and localization in a self-driving car. By the end of this course, you will be able to:
- Understand the key methods for parameter and state estimation used for autonomous driving, such as the method of least-squares

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  • 27 hours
  • English
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Teach English Now! Technology Enriched Teaching

Teach English Now! Technology Enriched Teaching

This course focuses on the key concepts you need in order to effectively integrate technology into your teaching, without letting it overshadow language learning. Discover current and future trends in educational technology, along with strategies for implementing these trends in the classroom and beyond. As technology is continually evolving, learn how to keep up on current technological applications through professional development networks and training opportunities.

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  • 19 hours
  • English
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Natural Language Processing on Google Cloud

Natural Language Processing on Google Cloud

This course introduces the products and solutions to solve NLP problems on Google Cloud. Additionally, it explores the processes, techniques, and tools to develop an NLP project with neural networks by using Vertex AI and TensorFlow.
- Recognize the NLP products and the solutions on Google Cloud.
- Create an end-to-end NLP workflow by using AutoML with Vertex AI.
- Build different NLP models including DNN, RNN, LSTM, and GRU by using TensorFlow.
- Recognize advanced NLP models such as encoder-decoder, attention mechanism, transformers, and BERT.

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  • 13 hours
  • English
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Python Data Analysis

Python Data Analysis

This course will continue the introduction to Python programming that started with Python Programming Essentials and Python Data Representations. We'll learn about reading, storing, and processing tabular data, which are common tasks. We will also teach you about CSV files and Python's support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.

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  • 9 hours
  • English
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Introduction to Computer Vision and Image Processing

Introduction to Computer Vision and Image Processing

Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries, such as self-driving cars, robotics, augmented reality, and much more. In this beginner-friendly course, you will understand computer vision and learn about its various applications across many industries.
As part of this course, you will utilize Python, Pillow, and OpenCV for basic image processing and perform image classification and object detection.

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  • 22 hours
  • English
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Introduction to Cloud Computing

Introduction to Cloud Computing

Start your cloud computing journey with this self-paced introductory course! Whether you need general cloud computing knowledge for school or business, or you are considering a career change, this beginner-friendly course is right for you.
In this course you’ll learn about essential characteristics of cloud computing and emerging technologies supported by cloud. You’ll explore cloud service models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Public, Private, and Hybrid deployment models.

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  • 25 hours
  • English
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Healing with the Arts

Healing with the Arts

Through art projects—including visual arts, dance, writing, and music—along with spiritual practices and guided imagery, Healing With the Arts gives you the tools to heal what you need to heal in your life: physical, mental, emotional, and spiritual.

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  • 13 hours
  • English
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Recommendation Systems on Google Cloud

Recommendation Systems on Google Cloud

In this course, you apply your knowledge of classification models and embeddings to build a ML pipeline that functions as a recommendation engine.
This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

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  • 15 hours
  • English
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Hardware Security

Hardware Security

In this course, we will study security and trust from the hardware perspective. Upon completing the course, students will understand the vulnerabilities in current digital system design flow and the physical attacks to these systems. They will learn that security starts from hardware design and be familiar with the tools and skills to build secure and trusted hardware.

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  • 12 hours
  • English
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Blockchain and Cryptocurrency Explained

Blockchain and Cryptocurrency Explained

The sudden rise in the value of Bitcoin and other cryptocurrencies, and its subsequent decline, focused the world’s attention on cryptocurrencies as a means of payment. Blockchain technology powers Bitcoin and has been hyped as the next new, transformative technology.
In this course, we first discuss the technical underpinnings of blockchain and review key concepts such as decentralization and consensus algorithms.
We then examine blockchain as an asset and review the dynamics of the cryptocurrency markets.

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  • 9 hours
  • English
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Bookkeeping Basics

Bookkeeping Basics

This is the first course in a series of four that will give you the skills needed to start your career in bookkeeping. If you have a passion for helping clients solve problems, this course is for you. In this course, you will be introduced to the role of a bookkeeper and learn what bookkeeping professionals do every day. You will dive into the accounting concepts and terms that will provide the foundation for the next three courses. You will learn how to work your way through the accounting cycle and be able to read and produce key financial statements.

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  • 16 hours
  • English
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DevOps Culture and Mindset

DevOps Culture and Mindset

This course gives you the basic foundational principles of DevOps with a particular focus on culture and the DevOps mindset. We’ll learn about how DevOps is grounded in lean principles, and how it can help improve collaboration between developers and operations team members. We'll learn about ideas regarding systems thinking, feedback loops, continuous improvement, loosely coupled architecture and teams, managing risk, and dealing with unplanned work.

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  • 15 hours
  • English
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English for Journalism

English for Journalism

Welcome to English for Journalism, a course created by the University of Pennsylvania, and funded by the U.S. Department of State Bureau of Educational and Cultural Affairs, Office of English Language Programs.
To enroll in this course for free, click on “Enroll now” and then select "Full Course. No certificate."

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  • 43 hours
  • English
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Architecting with Google Kubernetes Engine: Workloads

Architecting with Google Kubernetes Engine: Workloads

In this course, "Architecting with Google Kubernetes Engine: Workloads," you learn about performing Kubernetes operations; creating and managing deployments; the tools of GKE networking; and how to give your Kubernetes workloads persistent storage.
This is the second course of the Architecting with Google Kubernetes Engine series. After completing this course, enroll in the Architecting with Google Kubernetes Engine: Production course.

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  • 16 hours
  • English
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Getting Started With Application Development

Getting Started With Application Development

In this course, application developers learn how to design and develop cloud-native applications that seamlessly integrate managed services from Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants learn how to apply best practices for application development and use the appropriate Google Cloud storage services for object storage, relational data, caching, and analytics.

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  • 13 hours
  • English
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Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital

Advanced Valuation and Strategy - M&A, Private Equity, and Venture Capital

Hi and welcome to this course!
Would you like to learn about the latest valuation methods that may help you to make better business decisions? Then 'Advanced Valuation and Strategy – M&A, Private Equity, and Venture Capital' by Erasmus University Rotterdam is the right course for you! This course is helpful for executives that need to value complete strategies and for all students interested in corporate finance and strategy. We present the latest tools and show you how to apply them!

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  • 16 hours
  • English
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Fixing Healthcare Delivery 2.0: Advanced Lean

Fixing Healthcare Delivery 2.0: Advanced Lean

Lean or Toyota Production System (TPS) is responsible for revolutionizing the auto industry by creating highly reliable and safe cars and trucks. In this course healthcare providers, administrators, engineers, and healthcare professional students will be taught how to apply the principles and tools of Lean to health care.

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  • 17 hours
  • English
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Machine Learning in the Enterprise

Machine Learning in the Enterprise

This course takes a real-world approach to the ML Workflow through a case study. An ML team faces several ML business requirements and use cases. The team must understand the tools required for data management and governance and consider the best approach for data preprocessing.
The team is presented with three options to build ML models for two use cases. The course explains why they would use AutoML, BigQuery ML, or custom training to achieve their objectives.

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  • 20 hours
  • English
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Advanced System Security Topics

Advanced System Security Topics

In this MOOC, we learn RBAC and ABAC access control to facilitate the specification and management of access policies. We learn examples of how RBAC is supported by modern systems such as Docker and AWS IAM. We learn XACML 3.0 and an ABAC implementation for controling secure access to web documents and network resources with attribute certificates, and XACML architecture components. We show how to exhance the data security with GeoEncryption, Secure Enhanced Geolocking, and R2D2 concepts which deliver data to right places via right path. We show how Google Map and Web Crytpo

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  • 15 hours
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