Brief Description of the Python Course
Python is a high-level, interpreted programming language that was first released in 1991. It is designed to be easy to read, write and understand, and it is widely used for a variety of applications such as web development, scientific computing, data analysis, machine learning, and more.
Python has a simple and clean syntax that makes it easy to learn and use, even for beginners. It supports multiple programming paradigms, including procedural, object-oriented, and functional programming, and it has a large and active community that provides many libraries and frameworks to help with development.
Importance to learn Python
There are several reasons why learning Python can be beneficial:
Versatility: Python can be used for a wide range of applications, from web development and scientific computing to data analysis, artificial intelligence, and machine learning.
Simplicity: Python's syntax is easy to learn and read, making it an ideal language for beginners. It has minimal boilerplate code, and its indentation-based block structure forces developers to write more readable and structured code.
Popularity: Python is one of the most popular programming languages, and it has a large and active community that provides support, tutorials, and libraries to help developers.
Career opportunities: Python is widely used in many industries, and there is a high demand for developers who know how to use it. Learning Python can open up job opportunities in fields such as data science, machine learning, web development, and more.
Flexibility: Python can be used with different frameworks and libraries, allowing developers to customize and optimize their code for specific use cases.Overall, learning Python can be a valuable skill for both beginners and experienced developers, and it can lead to many career opportunities and exciting projects.
Learning Instructions:
This is a self-paced online course that follows a structured approach to delivering its content. It provides an opportunity to learn from the comfort of your home, at your own pace, according to your own schedule, from anywhere in the world.
- Key Features:
- This course is divided into 4 weeks.
- Each Topic is further divided into sub-topics/per day
- Each topic/sub-topic has a lesson comprising of activities, videos, exercises, quizzes, and assignments to complete to move to the next part of the course.
- 5 Video lectures per week of 45 minutes total duration (15-20 minutes/per day video lecture)
- Course participants need to complete a minimum of 6 quizzes, 1 Interim exam, and 1 final & comprehensive exam.
- All videos are in the English language
- Reading materials (amounting to approximately = 2-3 hours)
- Recommended resources for further study = 1-2 hours
- E-Certificate (upon completion of all course videos + assignments + quizzes etc.)
NOTE: The time required to complete this course is with flexible hours of study because this is a self-paced course, but you have 6 weeks (1 and ½ months) to complete the course content, but you have the opportunity to view it as many times you want during a week/month.
Future benefits
Python Developer Roles Are in High Demand
Python developer roles are in high demand, as many major companies use them, including Drop Box, Netflix, and Facebook. Google has even made its own Python style. Python developer jobs are also comparatively lucrative.
Python Boasts a Supportive Community
When you’re learning a new programming language — particularly after you’ve completed your boot camp course or degree — you’ll want to feel confident that you have a community of programmers you can turn to with questions when an issue comes up.
Python Is the Fastest-Growing Programming Language
When it comes to Python’s popularity and growth rate, the numbers don’t lie. According to the PYPL Popularity of Programming Language Index, Python is the most-searched programming language on the internet — and that doesn’t look like it will be changing any time soon.
Python Is Versatile
Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries — from its more common applications in data science and software engineering to environments like mobile app development, artificial intelligence, and machine learning
Course Overview/Description
Learning is a life-long process. In this digital age with the huge impact of technology among all industries and at all professional levels, it has become imperative to update, upgrade, improve, build, and mainly develop our current skill level or acquire new skills to compete and earn a decent living for ourselves and our families. We at WeVersity.org are striving to make a difference in the lives of all those who are struggling to meet their ends due to unemployment, distress, loss of hope to earn, are in a stressful situation, and are unable to find the right door of opportunity for themselves.
herefore, WeVersity.org has risen to the occasion to offer free learning, coaching, training, and even job placement opportunities for you in these trying times.
This particular course is designed to guide and equip you with the most desired skills in the current market in the digital age including but not limited toAlgorithm - Basic Syntax - Object -Property -Method -Argument -String -Loop -Variable -Function -Argument -Conditional – Event.
This will be 6 weeks course to be delivered through the online format. The course comprises multiple modalities including discussions, videos, readings, practice tests, quizzes, and assignments. Essential and additional resources will be provided along the way including blogs, articles, books/magazines, website links, and videos to watch, diagrams, infographic images to view, etc.
Course Title: |
The Python Programming |
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Course Delivery Mode: |
Online Course (Self-paced) |
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Course Duration |
4 Weeks (1 Month) |
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Course Pre-requisites |
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Course Level |
Beginner/ Intermediate level |
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Who this course is for? |
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Skills You will learn |
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Course Instructor/Designer |
Shahbaz AslamQualification: Master in software engineering Comsats University Islamabad,March 2018. Specialization: Cloud Native Computing, March 2019.Bachelor in Education 2015. |
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The python course page learning Outcomes:
- Data Scientist: Data scientists use Python to collect, clean, and analyze large data sets. They also use machine learning algorithms to build predictive models and make data-driven decisions.
- Machine Learning Engineer: Machine learning engineers build and deploy machine learning models using Python. They are responsible for optimizing models for performance and scalability.
- Web Developer: Python can be used to build web applications using frameworks such as Django and Flask. Web developers use Python to build and maintain web applications that are scalable and user-friendly.
- DevOps Engineer: DevOps engineers use Python to automate the deployment and management of applications. They are responsible for optimizing the development process and ensuring that applications are running smoothly.
- Cybersecurity Analyst: Cybersecurity analysts use Python to detect and prevent cyber-attacks. They use Python to build tools that can identify
Course Evaluation Breakdown
Evaluation Breakdown |
Percentage |
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| Assignments | All Assignments | 25% |
| Discussions | Two Posts each=5% | 10% |
| Quiz | Each Quiz=5% | 20% |
| Activities | All Activities | 25% |
| Reading Resources | Each project (analysis/role play) | 20% |
| Total= 100 | ||
FAQ’s about the python course
1. Do I need any prior programming experience to learn Python?
2. What resources are available for learning Python?
3. What are some good beginner projects to practice Python?
4. How can I practice Python coding?
5. How long does it take to learn Python?
6. Is Python hard to learn?
7. What are some common mistakes beginners make when learning Python?
8. How can I stay motivated when learning Python?
9. How can I know if I'm making progress in learning Python?
10. What can I do with Python once I've learned it?
1. Do I need any prior programming experience to learn Python?
Answer: No, you don't need any prior programming experience to learn Python. Python is a beginner-friendly language, and many resources are available for learners of all levels
2. What resources are available for learning Python?
Answer:There are many resources available for learning Python, including weversity.org.
3. What are some good beginner projects to practice Python?
Answer: Some good beginner projects to practice Python include building a calculator, creating a simple game, and automating repetitive tasks using Python scripts.
4. How can I practice Python coding?
Answer: How can I practice Python coding? You can practice Python coding by working on projects, participating in coding challenges and competitions, and contributing to open-source projects
5. How long does it take to learn Python?
Answer: How long does it take to learn Python? The amount of time it takes to learn Python depends on your prior experience, the amount of time you can dedicate to learning, and your learning goals. Some learners can pick up the basics of Python in a few weeks, while others may take several months.
6. Is Python hard to learn?
Answer: Python is considered one of the easiest programming languages to learn due to its simple syntax and intuitive structure. However, like any programming language, it takes practice and dedication to master.
7. What are some common mistakes beginners make when learning Python
Answer:Some common mistakes beginners make when learning Python include not understanding basic concepts such as data types and control structures, not following best practices for writing code, and not seeking help when they get stuck. .
8. How can I stay motivated when learning Python?
Answer: How can I stay motivated when learning Python? You can stay motivated when learning Python by setting goals, working on projects that interest you, and seeking support and guidance from the Python community.
9. How can I know if I'm making progress in learning Python?
Answer: You can know if you're making progress in learning Python by tracking your progress through completing projects, participating in coding challenges, and testing your knowledge through quizzes and assessments.
10. What can I do with Python once I've learned it?
Answer:Once you've learned Python, you can use it to build web applications, analyze data, automate tasks, build machine learning models, and more. The possibilities are endless!