AI Atmosphere Core skills and Knowledge layers

AI and ML Algorithms: Neural Networks, Supervised, Unsupervised, and Reinforcement Learning.
Python Programming: Functions, Object-Oriented Programming, data visualization with Matplotlib and Seaborn.
R Programming: Statistical analysis and data visualization with ggplot2 and dplyr.
SQL and Databases: Queries, joins, procedures, and indexing.
Power BI and Excel: Data analysis, reporting, and business intelligence.
Mathematical Foundations: Linear Algebra, Statistics, Calculus, Probability.
Tool Integration: Integration strategies for efficient data management.