Data Analysis and Machine Learning with Python

Data analysis and machine learning are essential skills for extracting insights from information and building intelligent tools. This text-based course provides a step-by-step path to exploring datasets, creating clear visual representations, and building predictive models. You will gain a solid grounded understanding of foundational data concepts, analytical workflows, and the core libraries used across the industry. What you will learn: Understand essential data science terminology, core statistical concepts, and data workflows; Perform numerical calculations and structured array operations using NumPy; Clean, reshape, and inspect complex tabular datasets with Pandas; Produce clear data visualizations and graphs using Matplotlib; Train classical machine learning models for classification and regression using scikit-learn; Build foundational neural networks for deep learning tasks using Keras. The course starts with basic definitions and theory before moving into practical data manipulation, visual exploratory analysis, and model training through written explanations and code snippets. This course is designed for beginners who want to build practical data analysis skills with a basic background in Python programming. Start learning data analysis and machine learning today.