It is a common situation that, in any company, employees want to get general information about a topic they are interested in, for example, how many vacation days they have, when was the company founded, do they work on weekends, are there any dressing rules, who is the CEO and so on. Of course, there is always a person or multiple persons in the company who can give those answers, but there is a much better way of providing your colleagues with information they need then chasing those all-knowing employees for answers, and that is a fully automated chatbot created with Power Virtual Agent, which is one of the 4 main parts of the Power Platform. In this 35-minutes long guided project, “Use SharePoint & Power Virtual Agent to Create Smart Chatbot”, you will create a SharePoint site and list, add some data to it and create a Power Virtual Agent chatbot which will automate the information flow from your company to the employees. Once the chatbot is up and running, you and your colleagues won’t have to bother other colleagues in person or send them emails or texts anymore, you will be able to have a nice and easy-going conversation with the bot behind the chatbot and find out the information you need. Since this project uses Office 365 services like SharePoint and Power Virtual Agent (part of the Microsoft Power Platform), you will need access to a Microsoft account and a Microsoft 365 Developer Program subscription account. In the video at the beginning of the project you will be given instructions on how to sign up for both. If you are ready to create your artificial co-worker which will help you and your colleagues provide information to others, then this project is for you! Let's get started!

This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs. By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.

Have you wondered how “Things” talk to each other and the cloud? Do you understand the alternatives for conveying latency-sensitive real time data versus reliable signaling data? Building on the skills from the Sensing and Actuation course, we will explore protocols to exchange information between processors. In this course, you will learn how VoIP systems like Skype work and implement your own app for voice calls and text messages. You will start by using the Session Initiation Protocol (SIP) for session management. Next, you will learn how voice codecs such as Adaptive Multi Rate (AMR) are used in 3G networks and use them for voice traffic in your app. Learning Goals: After completing this course, you will be able to: 1. Implement session initiation, management and termination on your DragonBoard™ 410c using SIP. 2. Discover other users and exchange device capabilities. 3. Compare and contrast narrowband and wideband codecs and experience the voice quality differences between them. 4. Implement and demonstrate VoIP calls using the DragonBoard 410c.

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

What makes for a great user experience? How can you consistently design experiences that work well, are easy to use and people want to use? This course will teach you the core process of experience design and how to effectively evaluate your work with the people for whom you are designing. You'll learn fundamental methods of design research that will enable you to effectively understand people, the sequences of their actions, and the context in which they work. Through the assignments, you’ll learn practical techniques for making sense of what you see and transform your observations into meaningful actionable insights and unique opportunity areas for design. You’ll also explore how to generate ideas in response to the opportunities identified and learn methods for making your ideas tangible. By answering specific questions and refining your concepts, you’ll move closer to making your ideas real. We’ll use cases from a variety of industries including health, education, transportation, finance, and beyond to illustrate how these methods work across different domains. Good luck and we hope you enjoy the course!

This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.

This UX course provides an introduction to the fields of UX research and design. Learners will gain an understanding of what is involved in UX research, including conducting interviews, evaluating systems, and analyzing systems using principles of good design. Learners will also learn about the work involved in UX Design, including the generation of promising design solutions and the creation of prototypes at multiple levels of fidelity. By interleaving successive phases of UX Research and Design, learners will see how to learn from inevitable mistakes and improve towards a product with a great UX. What you'll learn: - The skills needed for UX research and design
 - How UX researchers discover and assess user needs and assess possible designs
 - How to conduct a micro-usability test
 - How UX designers use sketching and prototyping to develop design concepts - How to incorporate a user-centered focus into the design process
 - Key features of human behavior and describe their impact on the design of interactive systems
 - Techniques for critiquing and designing interactive systems based on human capabilities and behavior


A frontend application is expected to have an attractive, responsive UI and a seamless UX with swift navigable views. Single Page Applications (SPAs) fulfill these expectations as they are lighter and efficient. React, a popular JavaScript library is used for developing complex user interfaces for single page applications (SPAs). Facebook, Instagram, Netflix, Airbnb etc., are some of the famous websites that use React. In this course, you will learn to construct an SPA by developing reusable and testable React Class components. The library helps you explore React features that enhance the performance of web applications by enabling partial page updates.

By the end of this project, you will have written and tested JavaScript and HTML code that validates data values entered into input fields on an HTML form. Data validation is a valuable skill in web development. Notifying users of input errors not only improves the user experience it also helps to ensure that any data collected via a form is as accurate as possible before sending it to a server for processing. 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 covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project. The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data. The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems. We expect the best projects can potentially lead to scientific publications.