Superb Python Course - Become Certified Python Developer
This comprehensive Python course provides the necessary skills to become a certified Python Developer. Register now to gain the knowledge and expertise to take your programming skills to the next level. ▼
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Course Feature
Cost:
Paid
Provider:
Eduonix
Certificate:
No Information
Language:
English
Start Date:
Self Paced
Course Overview
❗The content presented here is sourced directly from Eduonix platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [March 06th, 2023]
This Superb Python Course is designed to help students become certified Python Developers. Through this course, students will learn the fundamentals of Python programming, including data types, variables, functions, and classes. They will also learn how to use Python to create applications, automate tasks, and work with databases. Additionally, students will gain an understanding of the various frameworks and libraries available for Python development. Upon completion of the course, students will be able to confidently create and deploy Python applications.
[Applications]
This superb Python course provides students with the opportunity to become certified Python Developers. After completing the course, students can apply their knowledge to develop applications, create scripts, and automate tasks. They can also use their skills to develop web applications, create data visualizations, and analyze data. Additionally, they can use their knowledge to develop machine learning models and build artificial intelligence applications. With the help of this course, students can become proficient in Python and use it to create powerful applications.
[Career Paths]
1. Python Developer: Python Developers are responsible for writing and testing code, debugging programs and integrating applications with third-party web services. They are also responsible for developing back-end components, connecting applications with other web services, and supporting front-end developers. Python Developers are in high demand due to the increasing popularity of Python as a programming language.
2. Data Scientist: Data Scientists use Python to analyze large datasets and uncover patterns and trends. They use Python to develop predictive models and algorithms, and to create visualizations to present their findings. Data Scientists are in high demand due to the increasing need for data-driven decision making in businesses.
3. Machine Learning Engineer: Machine Learning Engineers use Python to develop and deploy machine learning models. They are responsible for building and maintaining machine learning systems, and for optimizing them for performance and accuracy. Machine Learning Engineers are in high demand due to the increasing need for automation and artificial intelligence in businesses.
4. Web Developer: Web Developers use Python to create dynamic websites and web applications. They are responsible for developing the front-end and back-end of websites, and for integrating applications with third-party web services. Web Developers are in high demand due to the increasing need for web-based applications and services.
[Education Paths]
1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, such as programming languages, algorithms, data structures, operating systems, and software engineering. It also covers topics such as artificial intelligence, computer graphics, and computer networks. This degree path is ideal for those looking to pursue a career in software engineering, web development, or data science. Additionally, the developing trend in this field is the increasing demand for professionals with expertise in machine learning and artificial intelligence.
2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. This degree path is ideal for those looking to pursue a career in data science, analytics, or business intelligence. Additionally, the developing trend in this field is the increasing demand for professionals with expertise in big data and analytics.
3. Bachelor of Science in Software Engineering: This degree path provides students with a comprehensive understanding of software engineering principles, such as software design, development, testing, and maintenance. It also covers topics such as software architecture, software project management, and software quality assurance. This degree path is ideal for those looking to pursue a career in software engineering, web development, or mobile application development. Additionally, the developing trend in this field is the increasing demand for professionals with expertise in cloud computing and mobile application development.
4. Master of Science in Artificial Intelligence: This degree path focuses on the application of artificial intelligence techniques to solve real-world problems. It covers topics such as machine learning, natural language processing, and computer vision. This degree path is ideal for those looking to pursue a career in artificial intelligence, robotics, or machine learning. Additionally, the developing trend in this field is the increasing demand for professionals with expertise in deep learning and natural language processing.
Pros & Cons
Excellent teaching
Learn a lot
Good
Super complete and useful
Nice informative course
Nice platform to learn online
Videos of more length needed
No explanation of code
Short lesson duration
Poor course for certification
Course Provider
Provider Eduonix's Stats at AZClass
This comprehensive Python course provides the skills needed to become a certified Python developer. This super-Python course is designed to help learners become certified Python developers. It covers all the basic topics of Python programming, from basic to advanced. Learners will gain a comprehensive understanding of the Python language, syntax, and its libraries. They will also learn how to use Python to create applications, automate tasks and develop web applications. Additionally, learners will understand best practices for developing and deploying Python applications.
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