products:ict:python_course_ttc_brochure
Differences
This shows you the differences between two versions of the page.
Both sides previous revisionPrevious revision | |||
products:ict:python_course_ttc_brochure [2024/03/07 15:22] – wikiadmin | products:ict:python_course_ttc_brochure [2024/03/07 15:24] (current) – wikiadmin | ||
---|---|---|---|
Line 1: | Line 1: | ||
- | {{: | + | [[products: |
- | + | ||
- | + | ||
- | ====== Python Courses ====== | + | |
- | + | ||
- | {{: | + | |
- | + | ||
- | + | ||
- | {{ : | + | |
- | + | ||
- | {{ : | + | |
- | + | ||
- | {{ : | + | |
- | + | ||
- | {{ : | + | |
- | + | ||
- | ===== Why learn Python ? ===== | + | |
- | + | ||
- | {{: | + | |
- | + | ||
- | + | ||
- | Learning Python offers numerous benefits, making it a popular choice among programmers and individuals interested in computer science. Here are some key advantages of learning Python: | + | |
- | + | ||
- | 1. **Easy to Learn and Read**: Python has a simple and readable syntax that emphasizes code readability and clarity. This makes it easier for beginners to grasp the language and for experienced programmers to write and maintain code quickly. | + | |
- | + | ||
- | 2. **Versatility**: | + | |
- | + | ||
- | 3. **Large and Active Community**: | + | |
- | + | ||
- | 4. **Extensive Libraries and Frameworks**: | + | |
- | + | ||
- | 5. **Cross-Platform Compatibility**: | + | |
- | + | ||
- | 6. **Strong Support for Data Analysis and Visualization**: | + | |
- | + | ||
- | 7. **Career Opportunities**: | + | |
- | + | ||
- | 8. **Integration Capabilities**: | + | |
- | + | ||
- | 9. **Increased Productivity**: | + | |
- | + | ||
- | 10. **Open Source and Free**: Python is an open-source language, which means it is freely available and can be used, modified, and distributed by anyone. This open-source nature encourages collaboration and fosters innovation within the Python community. | + | |
- | + | ||
- | These benefits, among others, make Python an excellent choice for beginners and experienced programmers alike, empowering them to develop a wide range of applications efficiently and effectively. | + | |
- | + | ||
- | ==== Certificates ==== | + | |
- | + | ||
- | === Printed Physical Certificate === | + | |
- | + | ||
- | + | ||
- | + | ||
- | {{: | + | |
- | + | ||
- | === Verifiable online === | + | |
- | + | ||
- | {{: | + | |
- | + | ||
- | {{: | + | |
- | + | ||
- | + | ||
- | + | ||
- | ===== Types of people who can benefit from learning python. ===== | + | |
- | + | ||
- | {{: | + | |
- | + | ||
- | + | ||
- | Python is a versatile programming language that can be beneficial for various types of people. Here are some categories of individuals who may find learning Python advantageous: | + | |
- | + | ||
- | 1. Beginners: Python is often recommended as a beginner-friendly programming language. Its clean syntax and readability make it easier to understand and learn the fundamentals of programming. | + | |
- | + | ||
- | 2. Students: Python is widely used in educational institutions to teach programming concepts. It can be valuable for students studying computer science, data science, artificial intelligence, | + | |
- | + | ||
- | 3. Software Developers: Python offers a robust set of libraries and frameworks that can accelerate the development process. It is suitable for building web applications, | + | |
- | + | ||
- | 4. Data Scientists: Python has become the de facto language for data analysis and machine learning. Popular libraries like NumPy, Pandas, and scikit-learn provide powerful tools for data manipulation, | + | |
- | + | ||
- | 5. Researchers: | + | |
- | + | ||
- | 6. Web Developers: Python frameworks such as Django and Flask enable the development of dynamic and scalable web applications. Python' | + | |
- | + | ||
- | 7. System Administrators: | + | |
- | + | ||
- | 8. Entrepreneurs: | + | |
- | + | ||
- | 9. Scientists and Engineers: Python' | + | |
- | + | ||
- | 10. Anyone interested in programming: | + | |
- | + | ||
- | Ultimately, Python' | + | |
- | + | ||
- | + | ||
- | Python courses, covering both introductory and more advanced topics relevant to Python-related job roles: | + | |
- | + | ||
- | + | ||
- | + | ||
- | + | ||
- | {{: | + | |
- | + | ||
- | ====== Beginning python and advanced python courses by the training company. ====== | + | |
- | + | ||
- | + | ||
- | {{: | + | |
- | + | ||
- | + | ||
- | Physical Classroom | + | |
- | + | ||
- | {{: | + | |
- | + | ||
- | Online Instructor | + | |
- | + | ||
- | {{: | + | |
- | ===== Course One: Beginning Python ===== | + | |
- | + | ||
- | {{: | + | |
- | + | ||
- | + | ||
- | Course Overview: | + | |
- | + | ||
- | This course is designed for beginners who have little to no experience with programming. Through hands-on exercises and practical examples, students will learn the fundamentals of Python programming language. | + | |
- | + | ||
- | **Class 1: Introduction to Python** | + | |
- | + | ||
- | - Overview of Python | + | |
- | + | ||
- | - Installing Python | + | |
- | + | ||
- | - Writing and executing a simple Python program | + | |
- | + | ||
- | - Understanding variables and data types | + | |
- | + | ||
- | **Class 2: Control Flow and Loops** | + | |
- | + | ||
- | + | ||
- | - Conditional statements (if, elif, else) | + | |
- | + | ||
- | - Loops (for loops, while loops) | + | |
- | + | ||
- | - Practice exercises | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 3: Lists and Tuples** | + | |
- | + | ||
- | + | ||
- | + | ||
- | - Understanding lists and tuples | + | |
- | + | ||
- | - Accessing elements | + | |
- | + | ||
- | - List manipulation | + | |
- | + | ||
- | - Tuple immutability | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 4: Dictionaries and Sets** | + | |
- | + | ||
- | + | ||
- | + | ||
- | - Introduction to dictionaries and sets | + | |
- | + | ||
- | - Working with dictionary keys and values | + | |
- | + | ||
- | - Set operations | + | |
- | + | ||
- | {{: | + | |
- | + | ||
- | **Class 5: Functions** | + | |
- | + | ||
- | + | ||
- | + | ||
- | - Defining and calling functions | + | |
- | + | ||
- | - Parameters and return values | + | |
- | + | ||
- | - Scope of variables | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 6: Modules and Packages** | + | |
- | + | ||
- | + | ||
- | + | ||
- | - Understanding modules and importing them | + | |
- | + | ||
- | - Creating and using packages | + | |
- | + | ||
- | - Exploring the Python Standard Library | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 7: File Handling** | + | |
- | + | ||
- | - Reading from and writing to files | + | |
- | + | ||
- | - Using context managers (with statement) | + | |
- | + | ||
- | - Error handling with try-except blocks | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 8: Introduction to Object-Oriented Programming (OOP)** | + | |
- | + | ||
- | - Basics of OOP | + | |
- | + | ||
- | - Classes and objects | + | |
- | + | ||
- | - Attributes and methods | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 9: Inheritance and Polymorphism** | + | |
- | + | ||
- | - Extending classes using inheritance | + | |
- | + | ||
- | - Method overriding | + | |
- | + | ||
- | - Polymorphism in Python | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 10: Exception Handling** | + | |
- | + | ||
- | - Handling exceptions in detail | + | |
- | + | ||
- | - Custom exception classes | + | |
- | + | ||
- | - Best practices for exception handling | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 11: Introduction to Regular Expressions** | + | |
- | + | ||
- | - Overview of regular expressions | + | |
- | + | ||
- | - Using regex in Python | + | |
- | + | ||
- | - Pattern matching | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 12: Debugging and Testing** | + | |
- | + | ||
- | - Debugging techniques | + | |
- | + | ||
- | - Unit testing with unittest module | + | |
- | + | ||
- | - Test-driven development (TDD) | + | |
- | + | ||
- | {{: | + | |
- | + | ||
- | + | ||
- | **Class 13: Introduction to Data Analysis with Pandas** | + | |
- | + | ||
- | - Overview of Pandas library | + | |
- | + | ||
- | - Series and DataFrame objects | + | |
- | + | ||
- | - Basic data manipulation | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 14: Introduction to Data Visualization with Matplotlib** | + | |
- | + | ||
- | - Overview of Matplotlib library | + | |
- | + | ||
- | - Creating basic plots | + | |
- | + | ||
- | - Customizing plots | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 15: Introduction to Web Scraping with BeautifulSoup** | + | |
- | + | ||
- | - Overview of web scraping | + | |
- | + | ||
- | - Using BeautifulSoup for scraping | + | |
- | + | ||
- | - Scraping a simple webpage | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Class 16: Final Project** | + | |
- | + | ||
- | - Students will work on a small project to apply the knowledge gained throughout the course. | + | |
- | + | ||
- | + | ||
- | + | ||
- | **Course Fees ( For the course beginning python listed above ) :** | + | |
- | + | ||
- | PKR Rs 30,000 | + | |
- | + | ||
- | LTC 1.1968071394641624 | + | |
- | + | ||
- | NANO XN0 : 72.48828106122843 | + | |
- | + | ||
- | CNY : 772.80 | + | |
- | + | ||
- | USD 107.40 | + | |
- | + | ||
- | ==== Payment methods accepted : ==== | + | |
- | + | ||
- | + | ||
- | Cheque, Credit card, Debit card, Cash, nano, LTC, bank transfer, payoneer, NayaPay. | + | |
- | + | ||
- | + | ||
- | **Guarantee :** If you are not satisfied by the course, then you can request your money back within 14 days of the time you started the course. The start time is of the start time of the first lecture, physical class, or online course. | + | |
- | + | ||
- | You do not have to provide any reason for requesting the money back. Feedback is optional. | + | |
- | + | ||
- | Any financial instrument, payment, transaction or bank charges required to collect and refund the money shall be deducted from the fees. | + | |
- | + | ||
- | + | ||
- | ---- | + | |
- | + | ||
- | [[products: | + | |
- | + | ||
- | + | ||
- | ---- | + | |
- | + | ||
- | + | ||
- | + | ||
- | © Applied Technology Research Center 2023. All Rights Reserved. | + | |
- | + | ||
- | + | ||
- | All content included in or made available through this page, such as text, graphics, logos, icons, images, sounds, music, digital downloads, data compilation, | + | |
- | + | ||
- | + | ||
- | + | ||
- | + |
products/ict/python_course_ttc_brochure.1709806939.txt.gz · Last modified: 2024/03/07 15:22 by wikiadmin