Data Crime Stories

Learn data science hands-on by investigating crime stories with datasets and Jupyter notebooks.
What you'll learn
Solve crime-inspired mysteries while learning Python, Pandas, and data visualization step by step.
Use Python and Pandas to clean, transform, and visualize data for storytelling and investigation.
Build problem-solving skills by reconstructing timelines and detecting anomalies in noisy datasets.
Present findings clearly with data-driven storytelling, charts, and investigative reasoning.
Requirements
Basic knowledge of Python programming (variables, functions, lists).
Familiarity with Jupyter Notebook
No prior experience with Pandas or data visualization is required - everything will be explained step by step.
Description
Learning data science doesn't have to feel dry. In this course, every dataset tells a story - and every story is a mystery to solve.Data Crime Stories is a unique, story-driven course where you step into the role of a data detective. Each chapter begins with a crime-inspired scenario - a missing passenger, a stolen necklace, a locked hotel suite, or a vanishing hiker. Your job: use Python, Pandas, and visualization to uncover the truth hidden in the data.You'll investigate original crime-inspired stories - each built around real-world datasets. Scenarios include:Whispers at Dusk - A politician disappears at a foggy festival.Stillness on Floor Thirteen - A nurse sees a man not on the patient list.No Return from Room 9B - A hotel guest checks in but never checks out.Echoes at Blackwood Hall - A pianist collapses mid-performance.Glass Shards & Guest Lists - A necklace vanishes at an island wedding.The Final Room Service - A journalist is found lifeless in her suite.The Forgotten Ticket - A poisoned actor during a premiere.The Midnight Departure - A missing passenger on a luxury train.The Widow's Ledger - A disputed will in a countryside estate.Vanishing Point - A hiker goes missing.With each case, you'll work through a Jupyter Notebook that guides you step by step through the analysis. By the end of every lecture, you'll have solved a mystery - and mastered new data science skills along the way.How to follow alongUnder each lecture, download the Resources (.zip) with the dataset and the notebook.Split your screen between the video and the notebook to code side by side.Practice each step in real time to build confidence in analysis, visualization, and storytelling with data.What you'll gainConfidence using Python and Pandas for real-world data analysis.The ability to visualize data, detect anomalies, and reconstruct timelines.Critical thinking to connect clues and evidence into compelling insights.A portfolio of case-based analyses that showcase your problem-solving abilities.By the end, you won't just use Pandas or plot graphs - you'll think like a data detective. Open your notebook, examine the evidence, and let's solve these mysteries together.
Who this course is for
Beginners who want to learn data science through engaging, story-driven projects.
Anyone curious about Python, Pandas, and data visualization in a fun, practical way.
Aspiring data analysts or enthusiasts starting their data science journey.
Homepage