Data Manipulation in JavaScript
This course is perfect for developers who want to learn how to manipulate data with JavaScript. With this course, you will gain the skills to create a seat reservation system and pull data from an external source. Learn the basics of validation and the features of the jQuery form validation plugin. Master arrow functions, asynchronous functions, and the JavaScript event loop. Sign up today and start mastering data manipulation in JavaScript! ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Start Date:
22nd May, 2023
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [June 30th, 2023]
This course, Data Manipulation in JavaScript, builds on the skills from the previous course and goes further into managing and manipulating data with JavaScript. Students will learn methods for validating and handling data provided by users or coming from an external data source. The course objectives include validation basics in JavaScript and jQuery; jQuery form validation plugin features; arrow functions; asynchronous functions; and the JavaScript event loop. Additionally, the course includes a challenge in the form of a seat reservation system, as well as a project that pulls data in from an external data source.
[Applications]
Upon completion of this course, students will have the skills to apply the concepts learned to create their own data manipulation projects. They will be able to use JavaScript to validate user input, handle data from external sources, and create a seat reservation system. Additionally, they will be able to use arrow functions and asynchronous functions to create more efficient code. Finally, they will understand the JavaScript event loop and how it works.
[Career Paths]
[Recommended Career Path]Data Scientist
Data Scientists are responsible for analyzing and interpreting large amounts of data to identify trends and patterns. They use a variety of techniques, such as machine learning, statistical analysis, and data mining, to uncover insights from data. Data Scientists are also responsible for developing predictive models and algorithms to help organizations make better decisions.
The demand for Data Scientists is growing rapidly, as organizations are increasingly relying on data-driven decision making. As a result, the job outlook for Data Scientists is very positive. Companies are looking for Data Scientists with strong technical skills, such as programming, data analysis, and machine learning, as well as strong communication and problem-solving skills.
Data Scientists are expected to stay up-to-date with the latest technologies and trends in the field. They must also be able to work with a variety of data sources and be able to interpret and present data in a meaningful way. The skills learned in this course, such as data manipulation in JavaScript, will be invaluable for Data Scientists as they work to uncover insights from data.
[Education Paths]
The recommended educational path for learners of this course is to pursue a Bachelor's degree in Computer Science. This degree will provide learners with a comprehensive understanding of the fundamentals of computer science, including programming, data structures, algorithms, software engineering, and computer architecture. Additionally, learners will gain an understanding of the principles of computer networks, operating systems, databases, and artificial intelligence.
The development trend of this degree is to focus on the application of computer science in the real world. This includes the development of software applications, web development, mobile development, and data science. Additionally, learners will gain an understanding of the principles of machine learning, natural language processing, and computer vision. This degree will also provide learners with the skills to develop and maintain computer systems, as well as the ability to design and implement algorithms.
Course Provider
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