Python Data Science Project: Build a Data Dashboard

Transitioning from learning Python syntax to solving real-world data problems can feel like a major hurdle. This text-based course bridges that gap by guiding you through a practical, hands-on data science project from start to finish. You will step into the role of a data analyst to solve a realistic business scenario. By extracting data from web sources, cleaning it with modern pandas techniques, and structuring it for analysis, you will build a functional dashboard that highlights key trends and patterns. What you'll learn: - Extract data from web pages using modern web scraping libraries - Clean and manipulate datasets using up-to-date pandas dataframe conventions - Analyze real-world data to identify trends, patterns, and anomalies - Create clear and functional data visualizations to represent your findings - Build a structured data dashboard to present insights clearly - Apply clean code practices and basic type hints to make your data scripts robust The course begins with foundational concepts of data extraction and structures before moving into step-by-step implementation. You will read through clear explanations, analyze structured code examples, and complete practical exercises to build your project. This course is designed for beginners who have a basic understanding of Python syntax and want to apply their knowledge to a real data science workflow. No advanced mathematical or programming background is required. Start reading today to turn your Python knowledge into practical data science skills.