Mastering Python, Data Analysis, and Machine Learning

What you'll learn
Python syntax, data structures, and libraries essential for data science, such as NumPy and Pandas.
Learn how to clean, organize, and transform raw data into usable formats for analysis and visualization.
Understand how to explore datasets to identify patterns, trends, and relationships.
Build predictive models using Scikit-learn, covering supervised learning algorithms.
Develop critical thinking and analytical skills to solve complex data challenges.

Requirements
Students should be comfortable using a computer, navigating files, and installing software.
This course is designed for absolute beginners, so no prior experience in Python or programming is necessary.
A positive attitude, curiosity, and the drive to learn new concepts and solve problems are essential.