Data Science and Machine Learning (Theory and Projects) A to Z: Part 01

This is Part 1 of the course series: Data Science and Machine Learning (Theory and Projects) A to Z, designed for both beginners and professionals eager to delve into the realms of data science and machine learning. It kicks off with Python programming basics, progressing through essential concepts such as algorithms, data structures, and introductory data analysis using NumPy and Pandas. Visual storytelling with Matplotlib, Seaborn, and Bokeh is also explored, setting a robust foundation for data manipulation and visualization. This part ensures learners are well-prepared with Python programming skills, laying the groundwork for more complex data science challenges tackled in subsequent parts of the series.