Data Science Fundamentals with Python for Beginners

Data science is transforming industries, but getting started can feel overwhelming without a clear conceptual foundation. This course provides a structured introduction to the essential concepts, workflows, and tools that drive modern data-driven decision-making. You will build a solid grasp of how to analyze raw information, prepare data for modeling, and extract actionable insights using industry-standard methodologies. What you will learn: - Understand essential data science terminology, core workflows, and modern project lifecycles - Clean, transform, and manipulate datasets using fundamental Python data libraries - Perform exploratory data analysis to uncover patterns, trends, and correlations - Apply basic statistical principles and probability concepts to real-world data problems - Evaluate baseline machine learning algorithms for classification and regression tasks - Explore modern data workflows, including basic prompt engineering and feature preparation The course begins with foundational definitions and data literacy principles before progressing step-by-step into hands-on data manipulation and introductory modeling techniques. This course is designed for complete beginners with no prior programming or mathematics background required. Start reading today to build your foundational understanding of data science.