Node.js Web Development Fundamentals
Master full-stack JavaScript development with Node.js, from basic programming concepts to building complete web applications with data visualization.
Master full-stack JavaScript development with Node.js, from basic programming concepts to building complete web applications with data visualization.
This comprehensive course takes you from JavaScript basics to advanced web application development using Node.js. Starting with fundamental programming concepts, you'll progress through object-oriented JavaScript, server-side development with Node.js, and data visualization using D3.js. Perfect for aspiring full-stack developers, the course covers web application architecture, API development, database integration, and the MVC pattern. Whether you're starting a development career or enhancing your technical skills, you'll gain practical experience in building end-to-end JavaScript applications.
Instructors:
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What you'll learn
Master JavaScript programming fundamentals and advanced concepts
Build complete web applications using Node.js framework
Implement server-side JavaScript functionality
Create interactive data visualizations with D3.js
Understand web application architecture and API development
Apply Model View Controller (MVC) pattern in JavaScript applications
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
Shareable certificate
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There are 4 modules in this course
The course is structured in four comprehensive weeks, starting with JavaScript language basics and progressing to advanced concepts. Week 1 covers fundamental JavaScript programming concepts. Week 2 focuses on functions and object-oriented programming principles. Week 3 introduces server-side JavaScript with Node.js, web application architecture, and the MVC pattern. The final week explores data visualization using D3.js, teaching students how to create interactive and insightful data presentations. Throughout the course, students learn practical skills through hands-on exercises and real-world applications.
Language basics
Module 1
Functions and Objects
Module 2
Server-side JavaScript
Module 3
Data Visualization
Module 4
Fee Structure
Instructors
Pioneering Expert in Computational Biology and Protein Structure Prediction
Burkhard Rost is a distinguished scientist leading the Department for Computational Biology & Bioinformatics at the Technical University of Munich (TUM), where he has served as Chair of Bioinformatics since 2009. His multidisciplinary background includes studies in physics, history, philosophy, and psychology, culminating in a doctorate from EMBL Heidelberg in 1994. Rost's career spans influential roles at Columbia University and leadership positions such as President of the International Society for Computational Biology. His research combines machine learning and evolutionary information to advance understanding of protein structure and function, pioneering technologies like PredictProtein, the first internet server for protein structure prediction. Rost's lab has developed advanced tools for predicting enzymatic activity, protein interactions, and subcellular localization, significantly impacting the field of computational biology. His scientific excellence is recognized through numerous honors, including the Alexander von Humboldt Professorship and fellowship of the International Society for Computational Biology. With over 300 scientific publications and an h-index of 100, Rost's work has established him as one of the most influential figures in computational biology, continuously pushing the boundaries of protein structure prediction and functional annotation.
Multidisciplinary Expert in Bioinformatics, Data Visualization, and Entrepreneurship
Guy Yachdav is a Senior Director of Software Engineering at Immunai and a Guest Lecturer at the Technical University of Munich (TUM), where he teaches the JavaScript Technology seminar. With a diverse academic background including a PhD in Bioinformatics from TUM, an MBA from Columbia Business School, and a BSc in Computer Science from Columbia University, Yachdav brings a unique blend of expertise to his work. He is renowned for his contributions to bioinformatics, particularly as a key developer of PredictProtein, a pioneering web server for protein structure and function prediction that has been in use since 1992. Yachdav's work on PredictProtein has significantly impacted the field, with the service processing over 1.5 million requests from users in 104 countries. His research interests span bioinformatics, data visualization, and the application of machine learning to diverse problems, as evidenced by his work on predicting character deaths in Game of Thrones. As co-founder and co-CEO of Biosof LLC, Yachdav has commercialized software tools for pharmaceutical genomic research, demonstrating his entrepreneurial acumen. His expertise in JavaScript and data visualization has been applied to numerous projects focusing on genomics data presentation, reflecting his belief in the power of data to solve complex problems across various domains.
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