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Master Python, data analysis with Pandas, and visualization to become a professional data analyst.
View Career Path →Learn Python programming, statistical analysis, and data visualization to launch your data science career.
View Career Path →Python programming, data analysis, and visualization courses
Learn Python fundamentals: variables, control flow, functions, and data structures.
Start Course →Master OOP, decorators, generators, and advanced Python design patterns.
Start Course →Arrays, vectorization, and numerical operations for efficient data processing.
Start Course →DataFrames, grouping, merging, time series, and real-world data analysis.
Start Course →Create professional charts and visualizations with Matplotlib and seaborn.
Start Course →Core software engineering concepts, principles, and best practices
Learn SOLID principles, design patterns, SDLC methodologies, and industry best practices.
Start Course →Upcoming courses in machine learning, deep learning, databases, and AI
Introduction to supervised and unsupervised learning algorithms.
Neural networks, CNNs, RNNs, and modern deep learning architectures.
Relational databases, SQL queries, normalization, and optimization.
LLMs, prompt engineering, RAG, and building AI applications.