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PROGRAMMING PYTHON INTERMEDIATE - ADAVANCE
About the course
Python is a high-level, general-purpose programming language known for its simplicity, readability, and versatility. It is widely used for a variety of applications, including web development, data analysis, artificial intelligence, automation, and scient
Structure of the course and Entry requirements.
This 3-month Intermediate to Advanced Python Programming course delves deeper into various aspects of Python, including advanced programming concepts, data analysis and visualization, web development, and practical applications of the language. The course structure is designed to provide a comprehensive and hands-on learning experience for students who have a strong foundation in Python and are looking to further enhance their skills.
Cost + Duration
Bafoussam and Buea have the same prices
The course is designed to be completed over a 3-month period, with classes typically held 2-3 times a week, each session lasting 2-3 hours. The cost of the 3-month Python Beginner to Intermediate course is 350,000 francs with study materials and exam fees included.
Benefits of the program
Certification: Upon completion of the Python Intermediate to Advanced Programming course, the student will be registered for an online Python certification exam as a Python expert programmer or a Python Data Analyst.
Employability: Python is in high demand in the job market, with numerous opportunities in industries like software engineering, data science, and information technology.
Transferable Skills: Learning Python in this course can help develop problem-solving, logical thinking, and analytical skills, which are valuable across various disciplines.
Scalability and Efficiency: Python's ability to handle large-scale projects and its efficient resource utilization make it a suitable choice for developing robust and scalable applications.
Portability: Python code can run on multiple operating systems, including Windows, macOS, and Linux, enhancing its cross-platform compatibility.
Automation and Productivity: Python's readability and conciseness make it an excellent choice for automating repetitive tasks, improving productivity, and streamlining workflows.
Scientific and Data-Driven Applications: Python's strength in data manipulation, visualization, and scientific computing makes it a popular choice for fields like machine learning, data analysis, and scientific research.
