Dart Programming Language Full Course from Beginners to Advanced Level

Course Feature
  • Cost
    Free
  • Provider
    Youtube
  • Certificate
    Paid Certification
  • Language
    English
  • Start Date
    On-Demand
  • Learners
    No Information
  • Duration
    2.00
  • Instructor
    /
Next Course
1.5
3 Ratings
This course is designed to teach students the Dart programming language from the ground up. It covers topics such as strings, booleans, integers, double data types, maps, and nested conditional statements. It also provides an introduction to the Dart language for Flutter development. By the end of the course, students will have a comprehensive understanding of the Dart language and be able to use it to create powerful applications.
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Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [May 25th, 2023]

This course provides an overview of the Dart programming language from a beginner to an advanced level. It covers topics such as strings, booleans, integers, double data types, maps, and nested conditional statements. Learners will gain an understanding of the fundamentals of Dart and how to use it in Flutter. By the end of the course, learners will be able to confidently use Dart to create their own applications.

[Applications]
The application of this course can be seen in the development of mobile applications using the Flutter framework. With the knowledge gained from this course, developers can create applications with Dart programming language, using strings, booleans, integers, double data types, maps, and nested conditional statements. Furthermore, developers can use the Dart language to create more complex applications with the help of the Flutter framework.

[Career Paths]
1. Mobile App Developer: Mobile app developers use Dart to create mobile applications for both Android and iOS platforms. They are responsible for designing, coding, testing, and debugging mobile applications. With the increasing demand for mobile applications, mobile app developers are in high demand.

2. Web Developer: Web developers use Dart to create dynamic web applications. They are responsible for designing, coding, testing, and debugging web applications. With the increasing demand for web applications, web developers are in high demand.

3. Data Scientist: Data scientists use Dart to analyze and interpret data. They are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. With the increasing demand for data-driven insights, data scientists are in high demand.

4. Machine Learning Engineer: Machine learning engineers use Dart to develop machine learning models. They are responsible for designing, coding, testing, and debugging machine learning models. With the increasing demand for machine learning applications, machine learning engineers are in high demand.

[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming languages, algorithms, data structures, operating systems, and computer architecture. Students will also learn about the latest trends in computer science, such as artificial intelligence, machine learning, and cloud computing.

2. Master of Science in Software Engineering: This degree path focuses on the development of software applications and systems. Students will learn about software design, development, testing, and maintenance. They will also gain an understanding of software engineering principles and techniques, such as object-oriented programming, software architecture, and software project management.

3. Bachelor of Science in Information Technology: This degree path provides students with a comprehensive understanding of information technology, including computer networks, database systems, web development, and system security. Students will also learn about the latest trends in information technology, such as cloud computing, mobile computing, and big data.

4. Master of Science in Data Science: This degree path focuses on the analysis and interpretation of large datasets. Students will learn about data mining, machine learning, and predictive analytics. They will also gain an understanding of data visualization, data engineering, and data security.

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