Data Science Academy
This repository contains resources and projects from the course "Foundations of Python for Data Analysis and Data Science". The course covers essential Python concepts, including object-oriented programming, numerical processing with NumPy, data manipulation with Pandas, and data visualization with Matplotlib and Seaborn. It also explores the integration of Python with SQL for database queries and analyses. At an intermediate level, it dives into statistical analysis with Statsmodels, machine learning with Scikit-Learn, time series analysis, deep learning fundamentals with TensorFlow, and an introduction to reinforcement learning.