Our Courses

FIFA20 Data Exploration using Python

FIFA20 Data Exploration using Python

By the end of this project, you will learn to use data Exploration techniques in order to uncover some initial patterns, insights and interesting points in your dataset.

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  • 2 hours
  • English
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Structured Query Language (SQL) using SAS

Structured Query Language (SQL) using SAS

Course Description
In this course, you learn about Structured Query Language (SQL) and how it can be used in SAS programs to create reports and query your data.
“By the end of this course, a learner will be able to…”
●\tQuery and subset data.
●\tSummarize and present data.
●\tCombine tables using joins and set operators.
●\tCreate and modify tables and views.
●\tCreate data-driven macro variables using a query.
●\tAccess DBMS data with SAS/ACCESS technology.

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  • 27 hours
  • English
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Marketing Analytics with Meta

Marketing Analytics with Meta

This course explores Meta Marketing Analytics Tools. You'll learn how to create ads using Meta Ads Manager, utilize Meta experiments, optimize ads through A/B testing, integrate data from campaigns and perform an analysis to evaluate the results.
By the end of this course you will be able to:
• Create an ad in Meta Ads Manager
• Evaluate campaign results
• Conduct an A/B Test to compare ad campaigns and see which performs best
• Conduct a Brand Lift test to measure how your ads impact brand awareness or recall

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  • 13 hours
  • English
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Calculus through Data & Modelling: Techniques of Integration

Calculus through Data & Modelling: Techniques of Integration

In this course, we build on previously defined notions of the integral of a single-variable function over an interval. Now, we will extend our understanding of integrals to work with functions of more than one variable. First, we will learn how to integrate a real-valued multivariable function over different regions in the plane. Then, we will introduce vector functions, which assigns a point to a vector. This will prepare us for our final course in the specialization on vector calculus.

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  • 5 hours
  • English
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Aromatherapy: Clinical Use of Essential Oils

Aromatherapy: Clinical Use of Essential Oils

This course provides an overview of essential oil therapy and current aromatherapy practices in clinical settings and gives you the skills to bring aromatherapy into your own practice. By the end of the course, you will be able to: a) explain what essential oils are to a patient and how they work; b) assess if an essential oil might be beneficial to a patient, considering patient preference and the research evidence, as well as any safety issues or contraindications; and c) suggest a protocol for use in a clinical setting.
Continuing Education Credits

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  • 17 hours
  • English
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Arm Cortex-M Processors Overview

Arm Cortex-M Processors Overview

This course is designed for anyone wishing to learn about the range of Cortex-M processors and the different resources that can help you with your Cortex-M project. The course begins with a bit of history about Arm processors and the Arm architecture, covering the differences between the M-profile and other architecture profiles like A-profile and R-profile. This course is suitable for beginners or people without an engineering or computer science background. The introductory material also sets the scene for the courses 2, 3 and 4.

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  • 2 hours
  • English
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Create a Virtual Machine Using AWS EC2

Create a Virtual Machine Using AWS EC2

By the end of this project, you will have successfully set up two virtual machines using Amazon Web Services and tested a Linux-based virtual machine.

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  • 2 hours
  • English
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Supply Chain of Agriculture

Supply Chain of Agriculture

Learners will be introduced to the production and distribution of agricultural commodities and food products. Topics will cover the full range of the agriculture supply chain, from pre-farm to the consumer, to provide students with a better understanding and appreciation for where and how crops and livestock are produced, and the systems used to distribute products to consumers.

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  • 10 hours
  • English
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Comparative Research Designs and Methods

Comparative Research Designs and Methods

Emile Durkheim, one of the founders of modern empirical social science, once stated that the comparative method is the only one that suits the social sciences. But Descartes already had reminded us that “comparaison n’est pas raison”, which means that comparison is not reason (or theory) by itself.

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  • 10 hours
  • English
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Cognitive and Experiential Diversity

Cognitive and Experiential Diversity

"Cognitive and Experiential Diversity" is the second course in the specialization titled "The Journey to Diversity, Inclusion, and Belonging."
This course takes a novel approach to understanding diversity by exploring the nature of cognitive and experiential diversity. Understanding these "invisible" forms of diversity is essential for an organization to thrive, and fostering this diversity among members of an organization will drive innovation and disruption.
Join us on this course to expand and challenge your understanding of diversity.

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  • 9 hours
  • English
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Particle Physics: an Introduction

Particle Physics: an Introduction

This course introduces you to subatomic physics, i.e. the physics of nuclei and particles.
More specifically, the following questions are addressed:
- What are the concepts of particle physics and how are they implemented?
- What are the properties of atomic nuclei and how can one use them?
- How does one accelerate and detect particles and measure their properties?
- What does one learn from particle reactions at high energies and particle decays?
- How do electromagnetic interactions work and how can one use them?

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  • 41 hours
  • English
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Introduction to Deep Learning & Neural Networks with Keras

Introduction to Deep Learning & Neural Networks with Keras

Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.
After completing this course, learners will be able to:
• Describe what a neural network is, what a deep learning model is, and the difference between them.

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  • 8 hours
  • English
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Get Up and Running with TypeScript

Get Up and Running with TypeScript

In this 1.5 hour class you will learn about TypeScript and start writing code that compile to JavaScript.

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  • 3 hours
  • English
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Dart: Introducing Class Abstraction

Dart: Introducing Class Abstraction

This is a self-paced lab that takes place in the Google Cloud console. In this lab you will learn how to work with Classes in Dart. Object oriented programming provides an abstraction of code and Dart is perfectly place…

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  • English
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COVID-19 Contact Tracing

COVID-19 Contact Tracing

The COVID-19 crisis has created an unprecedented need for contact tracing across the country, requiring thousands of people to learn key skills quickly. The job qualifications for contact tracing positions differ throughout the country and the world, with some new positions open to individuals with a high school diploma or equivalent.

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  • 7 hours
  • English
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Social Norms, Social Change II

Social Norms, Social Change II

This course is Part 2 of the Social Norms, Social Change series. In this course, we will examine social change, the tools we may use to enact change, and put into practice all we have learned in Part 1. See Social Norms, Social Change Part I at this link: https://coursera.org/learn/norms

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  • 9 hours
  • English
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Juniper Networks Automation Using Ansible and the REST API

Juniper Networks Automation Using Ansible and the REST API

This course demonstrates how to automate the Junos OS using DevOps automation tools, protocols, and technologies. This course focuses on using Ansible, and the Junos Representational State Transfer (REST) API to automate Junos platforms.

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  • 4 hours
  • English
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Understanding the U.S. Healthcare Landscape

Understanding the U.S. Healthcare Landscape

This course is best suited for individuals currently in the healthcare sector, as a provider, payer, or administrator. Individuals pursuing a career change to the healthcare sector may also be interested in this course.
This course is the continuation of An Overview of the U.S. Healthcare System course . If you have not yet taken the introductory course, it is recommend that you complete that course prior to this course. The foundational knowledge from the introduction is carried through in this deeper dive into learning about how the U.S. Healthcare System operates.

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  • 19 hours
  • English
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Transformer Models and BERT Model

Transformer Models and BERT Model

This course introduces you to the Transformer architecture and the Bidirectional Encoder Representations from Transformers (BERT) model. You learn about the main components of the Transformer architecture, such as the self-attention mechanism, and how it is used to build the BERT model. You also learn about the different tasks that BERT can be used for, such as text classification, question answering, and natural language inference. This course is estimated to take approximately 45 minutes to complete.

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  • 1 hour
  • English
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Fundamentals of Accounting Capstone

Fundamentals of Accounting Capstone

**You should complete all other courses in the Fundamentals of Accounting Specialization before beginning this course.**
The capstone project will be set in the context of a realistic small-business enterprise, and will require you to think deeply and apply the accounting concepts presented in the other courses in the Fundamentals of Accounting. While navigating the daily operations of the business, you will have an opportunity to consider the accounting implications of the economic events encountered, as well as how these economic events should be communicated to decision makers.

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  • 38 hours
  • English
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Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

Advanced Engineering Systems in Motion: Dynamics of Three Dimensional (3D) Motion

This course is an advanced study of bodies in motion as applied to engineering systems and structures. We will study the dynamics of rigid bodies in 3D motion. This will consist of both the kinematics and kinetics of motion. Kinematics deals with the geometrical aspects of motion describing position, velocity, and acceleration, all as a function of time. Kinetics is the study of forces acting on these bodies and how it affects their motion.
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Recommended Background:

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  • 18 hours
  • English
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UI Automation and Selectors

UI Automation and Selectors

The UI Automation and Selectors course provides a deep understanding of the different methods used while interacting with the User Interface of different applications like Excel, Word, CRM, Websites while building automation projects.
It introduces the Recording feature and the different recordings available in Studio to record user actions and generate workflows. It will also provide knowledge about Selectors and how they are beneficial while building automation projects.

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  • 9 hours
  • English
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Game Design and Development 1: 2D Shooter

Game Design and Development 1: 2D Shooter

If you love games and want to learn how to make them, then this course will start you down that path. Making games is a creative and technical art form. In this course you will familiarize yourself with the tools and practices of game development and well as the process. You will get started developing video games using industry standard game development tools, including the Unity 2020 game engine.

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  • 15 hours
  • English
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Empathy, Data, and Risk

Empathy, Data, and Risk

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course introduces empathy as a professional competency. It explains the psychological processes that inhibit empathy-building and the processes that determine how organizational stakeholders respond to risk. The course guides you through techniques to gather risk information by understanding a stakeholder’s thoughts, feelings, and goals. These techniques include interviewing, brainstorming, and empathy mapping.

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  • 13 hours
  • English
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Image Data Augmentation with Keras

Image Data Augmentation with Keras

In this 1.5-hour long project-based course, you will learn how to apply image data augmentation in Keras.

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  • 3 hours
  • English
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