In this 2-hour project, you'll master Angular Schematics. After completing the hands-on exercises, you'll be able to create your own schematics collection, effectively use templates, modify files, compose multiple rules and use them through the Angular CLI.

In this hands-on project, we will build and train an XG-Boost classifier to predict whether a person has a risk of having cervical cancer. Cervical cancer kills about 4,000 women in the U.S. and about 300,000 women worldwide. Data has been obtained from 858 patients and include features such as number of pregnancies, smoking habits, Sexually Transmitted Disease (STD), demographics, and historic medical records.

By the end of this project, you will create a fully functioning fast typing game using Java Swing in Eclipse. This project will give you a great head start towards learning more and mastering one of the most used programming languages in the world. In this project you will be able to identify and apply many basic fundamentals such as data structures, variables, loops etc. Moreover, you will be able to perform simple String manipulation, save and compare the user's input to the original correct word and finally, you will be able to create dynamic labels for many applications. Learning and understanding Java Swing will help you progress in the programming field by creating simple Java applications.

Learn the inner workings of operating systems without installing anything! This course is designed for learners who are looking to maximize performance by understanding how operating systems work at a fundamental level. The modules in this course cover input and output, directories, file systems, data integrity and protection, and distributed systems. To allow for a truly hands-on, self-paced learning experience, this course is video-free. Assignments contain short explanations with images and runnable code examples with suggested edits to explore code examples further, building a deeper understanding by doing. You’ll benefit from instant feedback from a variety of assessment items along the way, gently progressing from quick understanding checks (multiple choice, fill in the blank, and un-scrambling code blocks) to slowly building features, resulting in large coding projects at the end of the course.

A graphical user interface can be a nice alternative to using the command line for running programs, as there is no need to memorize how to execute a command with arguments. A label may be added to describe what is needed for the application, for example. There are many choices for building a graphical user interface in Python. Some of them require licensing for commercial use and each have their own sets of learning curves. Using Tkinter avoids the licensing issues and is quite simple to use as well. It is a GUI package that is the standard GUI toolkit for python applications and is widely available on multiple platforms including Windows, Mac, and Linux. In this course, you will implement a Tkinter GUI to read from a user-provided file containing data. The GUI will allow the user to plot columnar data as X and Y coordinates on a regression graph, and display statistics about the data from each of the selected columns. 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 is a self-paced lab that takes place in the Google Cloud console. This lab will teach you about the architecture and basic functioning of Application Programming Interfaces (APIs). This will be supplemented with hands-on practice, where you will configure and run Cloud Storage API methods in Cloud Shell.

In this 1-hour long project-based course, you will learn how to load a dataset into a pandas dataframe, you will learn how to tidy a messy dataset (Data Tidying), you will get to also visualize the dataset using Matplotlib and seaborn, you will learn how to engineer new features, you will also get to learn how to merge datasets (Data Integration) By the end of this project, you will be able to fully analyze a FIFA dataset using python’s Pandas library. Throughout the tasks you will be able to identify and apply the key aspects about data analysis such as Data Cleaning, Data transformation, Data Visualization , Data tidying and feature engineering. All these skills are crucial to the world of data engineering and are very beneficial in today’s job market that is leaning more and more towards utilizing data in every way 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.

In this 45-min guided project, you will learn the basics of using the Keras interface to R with Tensorflow as its backend to solve an image classification problem. By the time you complete this project, you will have used the R programming language to build, train, and evaluate a neural network model to classify images of clothing items into categories such as t-shirts, trousers, and sneakers. We will be training the deep learning based image classification model on the Fashion MNIST dataset which contains 70000 grayscale images of clothes across 10 categories. In order to be successful in this project, you should be familiar with R programming, and basics of neural networks. 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.

Improve your English, boost your tech career, and move toward a higher-paying job by leveling up your communication skills in English Communication for Tech Professionals brought to you by Arizona State University and English4IT. This course is for all business roles, both technical and non-technical, from developers to CEOs. The course targets 6 main skill areas: - vocabulary - grammar - pronunciation - soft skills - speaking & writing After completing this course, you will: - improve your English for professional communication; - build your vocabulary with at least 30 new useful words and phrases from each module; - master key grammar topics; - have templates for emails and meetings which you can start using in your work right away; - create a professional and attention-grabbing resume (or CV) in English and upgrade your LinkedIn profile; - prepare for a job interview by learning useful strategies and skills that will help you preform better in interviews.

By the end of this project, you will have an understanding of the basics of YAML syntax. This course is for absolute beginners who have no previous experience and want to gain an understanding of YAML syntax. This course will provide an overview of YAML data serialization language. YAML is a human-readable data serialization standard within the software industry and can be used in conjunction with all programming languages and is most commonly used to write configuration files. There are no prerequisites for completing the course, however, you should have a basic understanding of software engineering principles. 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.