Overview Robotic Process Automation (RPA) is reshaping the accounting and finance profession. 40% of transactional accounting work is expected to be automated by 2020 and predicted to touch 230 million knowledge workers, 9% of the global workforce, according to McKinsey Research. Driven by the need to stay competitive, decrease costs and increase efficiency, RPA is quickly making a significant impact on the profession. Companies no longer think about "if" but "when" to implement RPA. Short Description: • Robotic Process Automation (RPA) can transform business processes by eliminating the mundane, time-consuming, manual tasks that professionals complete; enabling them more time to focus on critical thinking. This course for accounting and finance professionals worldwide will show through use cases how robotic process automation can be utilized to decrease errors and increase productivity. Course description/ Overarching Learning Goal This course is intended to provide accounting and financial professionals with practical literacy on robotic process automation through a real-world, relevant data preparation use case. It will help identify potential uses and the benefits and considerations for robotic process automation. This course will help you make the business case by helping you assess requirements, define proof of value and measure and validate the ROI for automation.

In this 1-hour long project-based course, you will learn how to create a Java Stream object based on an array of data, and understand the distinction between terminal and intermediate stream operations. You will iterate through the data stream using the forEach method, and use a range of Stream methods to perform logical operations on the data stream. You will perform basic statistical calculations on a stream of numeric data, and string operations on a stream of string data. You will learn how to use the map, filter, and reduce Stream methods. Finally, you will learn how to load a CSV file, the COVID vaccination dataset, and turn it into a data stream, and perform basic exploratory analysis of the data. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This course can also be taken for academic credit as ECEA 5316, part of CU Boulder’s Master of Science in Electrical Engineering degree. This course provides an in-depth and full mathematical derivation and review of models for scheduling policies and feasibility determination by hand and with rate monotonic tools along with comparison to actual performance for real-time scheduled threads running on a native Linux system. By the end of this course the learner will be able to full derive the fixed priority rate monotonic least upper bound for feasibility as well as justifying the rate monotonic policy and will be able to compare to dynamic priority scheduling including earliest deadline first and least laxity policies. At the end of this course learners will be able to fully derive and explain the math model for the rate monotonic least upper bound as well as performing timing diagram analysis for fixed and dynamic priority software services. Tools to provide analysis will be learned (Cheddar) to automate timing analysis and to compare to actual performance. Specific objectives include: ● Rate monotonic theory (complete math models) ● Differences between fixed priority rate monotonic policy and dynamic priority earliest deadline first and least laxity policies ● Scheduling theory and practice writing code for multi-frequency executives, priority preemptive RTOS services, and real-time threaded services on traditional operating systems (Linux) ● Building a simple Linux multi-service system using POSIX real-time extensions on Raspberry Pi 3b using sequencing and methods to log and verify agreement between theory and practice ● Timing diagram generation and analysis using Cheddar

Step into RPA is a 4-hour course where you will learn the basic concepts of Robotic Process Automation, commonly known as RPA, and understand the capabilities of software robots. The course equips you with skills to automate repetitive day-to-day tasks. This course is tailored for non-technical audience who want to learn the basics of Robotic Process Automation and have basic knowledge of computers.

In this two-hour, project-based course, you’ll use Unity to learn about directly manipulating certain properties of GameObjects, including color, scale and position. In a simple space environment, you'll calculate distances between objects to derive color, use random numbers to teleport, and use Unity’s physics engine to engage gravity and make objects bouncy! This Unity guided project is focused on C# coding.

This course will introduce you to the wonderful world of Python programming! We'll learn about the essential elements of programming and how to construct basic Python programs. We will cover expressions, variables, functions, logic, and conditionals, which are foundational concepts in computer programming. We will also teach you how to use Python modules, which enable you to benefit from the vast array of functionality that is already a part of the Python language. These concepts and skills will help you to begin to think like a computer programmer and to understand how to go about writing Python programs. By the end of the course, you will be able to write short Python programs that are able to accomplish real, practical tasks. This course is the foundation for building expertise in Python programming. As the first course in a specialization, it provides the necessary building blocks for you to succeed at learning to write more complex Python programs. This course uses Python 3. While many Python programs continue to use Python 2, Python 3 is the future of the Python programming language. This first course will use a Python 3 version of the CodeSkulptor development environment, which is specifically designed to help beginning programmers learn quickly. CodeSkulptor runs within any modern web browser and does not require you to install any software, allowing you to start writing and running small programs immediately. In the later courses in this specialization, we will help you to move to more sophisticated desktop development environments.

Cypress is a complete end-to-end test automation tool built to test modern-day web applications. It is capable of automating both UI and API. This project is for beginner's in Cypress and helps you automate real-time scenarios like -- 1. Understanding Cypress and its architecture 2. Integration with form elements 3. Adding assertions to the test cases 4. Handling multiple elements 5. Scroll down operation 6. IFrame handling 7. Drag and drop operation 8. Multiple tab handling 9. Fixtures in Cypress

This is a self-paced lab that takes place in the Google Cloud console. Lab has instructions to conduct distributed load testing with Kubernetes, which includes a sample web application, Docker image, and Kubernetes deployments/services.

This course is the second course in a series that aims to prepare you for a role working as a programmer. In this course, you will be introduced to the four main concepts in programming: Advanced String Operations and Dates, Modeling Classes, Development of Classes and Collections. Labs will allow the students to apply the material in the lectures in simple computer programs designed to re-enforce the material in the lesson.

In this 1-hour long project-based course, you will learn how to (Set up a new project in Android Studio, Implement the application’s Design, Make the application responsive in Java, Run the application and add an Icon). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.