Professional certifications and achievements
Showcasing verified credentials and accomplishments.
Comprehensive introduction to Python programming, covering NumPy, Pandas, Matplotlib, Seaborn, and FastAPI with practical applications.
Comprehensive introduction to SQL, covering database concepts, queries, joins, aggregations, and data analysis techniques for data science applications.
Comprehensive foundation in mathematics and statistics and hypothesis testing for AI and data science applications.
In-depth exploration of machine learning algorithms, model building, evaluation, and practical applications in data science and AI.