You can also learn how to...

• communicate clearly with the best visual representation of your data
• tell stories, spark discussion, and create calls to actions for readers
• design graphics like ones from the NYTimes and other media companies
• how to use open web technologies to create an online portfolio of your work
• use visualization libraries (dimple.js and D3.js) to create graphics

• Be able to build ANY website you want.
• Craft a portfolio of websites to apply for junior developer jobs.
• Build fully-fledged websites and web apps for your startup or business.
• Work as a freelance web developer.
• Master backend development with Node
• Master frontend development with React
• Learn the latest frameworks and technologies, including Javascript ES6, Bootstrap 4, MongoDB.
• Learn professional developer best practices.

• Become an advanced, confident, and modern JavaScript developer from scratch
• Build 6 beautiful real-world projects for your portfolio (not boring toy apps)
• Become job-ready by understanding how JavaScript really works behind the scenes
• How to think and work like a developer: problem-solving, researching, workflows
• JavaScript fundamentals: variables, if/else, operators, boolean logic, functions, arrays, objects, loops, strings, etc.
• Modern ES6+ from the beginning: arrow functions, destructuring, spread operator, optional chaining (ES2020), etc.
• Modern OOP: Classes, constructors, prototypal inheritance, encapsulation, etc.
• Complex concepts like the 'this' keyword, higher-order functions, closures, etc.
• Asynchronous JavaScript: Event loop, promises, async/await, AJAX calls and APIs
• How to architect your code using flowcharts and common patterns
• Modern tools for 2021 and beyond: NPM, Parcel, Babel and ES6 modules
• Practice your skills with 50+ challenges and assignments (solutions included)
• Get friendly support in the Q&A area
• Design your unique learning path according to your goals: course pathways

• Be able to build ANY website you want.
• Craft a portfolio of websites to apply for junior developer jobs.
• Build fully-fledged websites and web apps for your startup or business.
• Work as a freelance web developer.
• Master backend development with Node
• Master frontend development with React
• Learn the latest frameworks and technologies, including Javascript ES6, Bootstrap 4, MongoDB.
• Learn professional developer best practices.

• Completely refilmed for 3rd edition
• Build, test, and launch Node apps
• Create Express web servers and APIs
• Store data with Mongoose and MongoDB
• Use cutting-edge ES6/ES7 JavaScript
• Deploy your Node apps to production
• Create real-time web apps with SocketIO

The goal of the Front End Web Developer Nanodegree program is to equip learners with the unique skills they need to build and develop a variety of websites and applications. Graduates of this Nanodegree program will be able to construct responsive websites using CSS, Flexbox and CSS Grid, develop interactive websites and UI (User Interface) applications using JavaScript and HTML, and connect a web application to backend server data using JavaScript. Students will also build competency automating application build and deployment using Webpack and improving offline performance of websites using Service Worker.

The goal of the Intermediate JavaScript Nanodegree program is to prepare students for roles in web development, server-side application development, and desktop development that require a more advanced set of JavaScript skills. This program will also prepare students with the skills required to use JavaScript frameworks like React, Angular, and Vue.

• Use SQL to query a database
• Use SQL to perform data analysis
• Be comfortable putting SQL and PostgreSQL on their resume
• Learn to perform GROUP BY statements
• Replicate real-world situations and query reports

• Use SQL to query a database
• Use SQL to perform data analysis
• Be comfortable putting SQL and PostgreSQL on their resume
• Learn to perform GROUP BY statements
• Replicate real-world situations and query reports

The goal of the Full Stack Web Developer Nanodegree program is to equip learners with the unique skills they need to build database-backed APIs and web applications. A graduate of this program will be able to design and build databases for software applications, create and deploy database-backed web APIs, and secure and manage user authentication and access control for an application backend. Students will also learn how to deploy a Flask-based web application to the cloud using Docker and Kubernetes.

Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use R, SQL, Command Line, and Git.

Why Take This Course

• Develop modern, complex, responsive and scalable web applications with Angular 12
• Fully understand the architecture behind an Angular application and how to use it
• Use the gained, deep understanding of the Angular fundamentals to quickly establish yourself as a frontend developer
• Create single-page applications with one of the most modern JavaScript frameworks out there

You’ll master the skills necessary to become a successful full-stack developer. Learn how to build UI and UX, create APIs and server-side business logic and develop the persistence layer to store, process, and retrieve data.

You will start by learning the basics of iOS app development using the Swift programming language and Xcode, Apple's development environment. You'll develop your first iOS apps using layouts, views, UIKit, and more. Then, you’ll progress to build more complex and advanced applications, using networking, and Apple’s Grand Central Dispatch and Core Data, and will be ready to publish your capstone project to the App Store.

What will you achieve?

Perform analysis on data stored in relational and non-relational database systems to power strategic decision-making. Learn to determine, create, and execute SQL and NoSQL queries that manipulate and dissect large scale datasets. Begin by leveraging the power of SQL commands, functions, and data cleaning methodologies to join, aggregate, and clean tables, as well as complete performance tune analysis to provide strategic business recommendations. Finally, apply relational database management techniques to normalize data schemas in order to build the supporting data structures for a social news aggregator.

Learning Objectives:

• Coding with Java
• Programming fundamentals
• Loops, functions, and classes
• Learn how to use them to crate programs
• How to debug your programs

What will you achieve?

• This course will teach you the basics of command line programming and shell commands. You will navigate the directory tree, understand paths and files and directories and run a bash program. This is an incredible tool to have in your toolset as a programmer. The aim is not to make you a super duper system admin, but you should come away with a solid understanding of the Unix Command Line Interface.

What you will learn

• A broad and robust understanding of computer science and programming
• How to scale your web applications
• How to keep track of changes made to code, synchronize code between different people, and test changes to code
• The various ways an API can be used
• How to design and implement web pages and web apps
• Familiarity in a number of languages, including C, Python, SQL, and JavaScript plus CSS and HTML

What you will learn

• A broad and robust understanding of computer science and programming
• Graph search algorithms
• Reinforcement learning
• Machine learning
• Artificial intelligence principles
• How to design intelligent systems
• How to use AI in Python programs

• The course provides the entire toolbox you need to become a data scientist
• Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
• Impress interviewers by showing an understanding of the data science field
• Learn how to pre-process data
• Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
• Start coding in Python and learn how to use it for statistical analysis
• Perform linear and logistic regressions in Python
• Carry out cluster and factor analysis
• Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
• Apply your skills to real-life business cases
• Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
• Unfold the power of deep neural networks
• Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
• Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations

• Learn to use Python professionally, learning both Python 2 and Python 3!
• Create games with Python, like Tic Tac Toe and Blackjack!
• Learn advanced Python features, like the collections module and how to work with timestamps!
• Learn to use Object Oriented Programming with classes!
• Understand complex topics, like decorators.
• Understand how to use both the Jupyter Notebook and create .py files
• Get an understanding of how to create GUIs in the Jupyter Notebook system!
• Build a complete understanding of Python from the ground up!

Learn the basics of programming through HTML, CSS, and Python. Explore possible programming paths with our final project selection. Get confident in your ability to think and problem-solve like a programmer. Be primed and ready for our career-ready programs after mastering these projects.

Learn the programming fundamentals required for a career in data science. By the end of the program, you will be able to use Python, SQL, Command Line, and Git.

Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.

• Learn C#, a powerful modern language, from scratch. No prior programming experience is necessary.
• Become excellent at using the Unity game engine.
• Build a solid foundation for game design and game development that will help you build your own games.
• Learn how object oriented programming works in practice.
• Create playable game projects - good for your portfolio, or just for your own sense of achievement.
• Transfer your knowledge from this course to .NET, other languages, and more.
• Develop highly transferable coding problem solving skills.
• Be part of an amazing and supportive community of people similar to you.

• Work with ID, Name, CSSPath and XPath selectors
• Work with Input boxes, Check boxes, Radio buttons, Alert boxes and more

• Learn C# from scratch. A powerful modern language.
• Get experience using Unity 2017 - a very versatile 3D tool.
• Gain an excellent general knowledge of video game design.
• Make 2.5D and 3D games in Unity.
• Transfer your knowledge to .NET, other languages, and more.
• Learn how object oriented programming works in practice.
• Develop a positive attitude to problem solving.
• Practical exercises EVERY VIDEO to build actual skills.
• Learn good coding and design patterns.
• Learn to use source control, a valuable tool for working in small teams.

• Learn C#, a powerful modern language, from scratch. No prior programming experience is necessary.
• Become excellent at using the Unity game engine.
• Build a solid foundation for game design and game development that will help you build your own games.
• Learn how object oriented programming works in practice.
• Create playable game projects - good for your portfolio, or just for your own sense of achievement.
• Transfer your knowledge from this course to .NET, other languages, and more.
• Develop highly transferable coding problem solving skills.
• Be part of an amazing and supportive community of people similar to you.

Begin your exploration into the world of robotics software engineering with a practical, system-focused approach to programming robots using the ROS framework and C++. In addition, learn and apply robotics software engineering algorithms such as localization, mapping, and navigation.

What will you achieve?

Learn the essential foundations of AI: the programming tools (Python, NumPy, PyTorch), the math (calculus and linear algebra), and the key techniques of neural networks (gradient descent and backpropagation).

• Coding is something we already do everyday!
• Coding in programming languages is something you CAN achieve
• If you can read and write, you can code!

Learning objectives

• Writing source code
• Basic statements and expressions
• Working with numbers and strings
• Writing conditional code
• Increasing your efficiency with functions
• Working with comments
• Making decisions in code
• Troubleshooting errors
• Learning about other languages

Learning Objectives:

• Get a hands-on introduction to the programming language
• Install Python
• Examine the basics of the language
• How to build our first Python prgram

• The course provides the entire toolbox you need to become a data scientist
• Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
• Impress interviewers by showing an understanding of the data science field
• Learn how to pre-process data
• Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
• Start coding in Python and learn how to use it for statistical analysis
• Perform linear and logistic regressions in Python
• Carry out cluster and factor analysis
• Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
• Apply your skills to real-life business cases
• Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
• Unfold the power of deep neural networks
• Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
• Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations