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Course Requirements
Prerequisites: Basic understanding of programming concepts (preferably in Python) and familiarity with algebra and statistics.
Software: Students must have Python installed on their computers, along with libraries such as Pandas, NumPy, Matplotlib, Scikit-learn, TensorFlow/PyTorch, and Flask/Django.
Tools: Access to a code editor (e.g., Jupyter Notebook, VSCode, or PyCharm) and basic knowledge of Git for version control.
Course Description
This course provides a comprehensive introduction to Python, focusing on its applications in data science, artificial intelligence, and software development. Students will learn to leverage Python's powerful libraries and frameworks to analyze data, build machine learning models, and develop web applications. Through hands-on projects and practical exercises, participants will gain a solid foundation in Python programming and its use in real-world scenarios.
Upon successful completion of this course, students will be able to:
Programming Proficiency: Write and debug Python code effectively using standard libraries and tools.
Data Analysis: Manipulate, analyze, and visualize data using Pandas and Matplotlib.
Statistical Modeling: Apply statistical techniques and methods to draw insights from data.
Machine Learning: Build and evaluate machine learning models using Scikit-learn and understand the principles of supervised and unsupervised learning.
Deep Learning: Implement and train neural networks using TensorFlow or PyTorch for various applications.
Web Development: Develop and deploy web applications using Flask or Django, including RESTful APIs.
Real-World Application: Work on a capstone project that integrates data science, AI, and development skills to solve a real-world problem.
Senior IT Specialist
Expert in network security and certified ethical hacker.
John has over 20 years of experience in the IT industry. He specializes in network security and has worked with several top companies to improve their security infrastructure. He is also a certified ethical hacker and enjoys teaching others about cybersecurity.
Python for Data Science ,Ai and Development
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