Course Description

This course covers legal analytics and crime evaluation. You will learn to analyze crime data, evaluate legal outcomes, and apply statistical methods to understand patterns in criminal justice.

Course Curriculum

5 sections • 14.75 hours total length

  • How Legal Analytics is Changing the Field (12m)

    Understand the core concepts and see real-world examples of how data is transforming legal work and policy.

  • Finding and Vetting Public Crime Data (18m)

    A step-by-step guide to sourcing reliable data from government portals and academic archives.

  • Essential Statistics for Legal Professionals (25m)

    Learn the key statistical concepts you actually need, without the jargon, to interpret data confidently.

  • Setting Up Your Analytical Toolkit (8m)

    An introduction to the accessible software and tools we'll use for data cleaning and visualization.

  • Defining Your Research Question (15m)

    How to frame a clear, data-driven question that guides your analysis and keeps it focused.

  • Data Cleaning Fundamentals (22m)

    A practical session on cleaning messy public data to prepare it for accurate analysis.

  • Understanding Bias in Crime Data (20m)

    A critical look at where bias enters datasets and how to account for it in your evaluation.

  • Ethical Use of Predictive Analytics (11m)

    A framework for making responsible and ethical decisions when using data to evaluate crime.

  • Mapping Crime Hotspots with GIS (28m)

    Learn how to use geographic data to visualize crime density and identify spatial patterns.

  • Analyzing Arrest and Charging Data (19m)

    A real case study analysis of how to evaluate charging patterns across different demographics.

  • Time-Series Analysis for Crime Trends (23m)

    How to track crime rates over time to spot seasonal patterns and long-term shifts.

  • Comparative Analysis of Jurisdictions (17m)

    A problem-solving session on comparing crime rates and legal outcomes between different cities or states.

  • Building Your First Crime Dashboard (32m)

    A step-by-step guide to creating an interactive dashboard to monitor key metrics.

  • Correlation vs. Causation in Legal Data (14m)

    Learn to spot misleading relationships in data and draw sound conclusions.

  • Evaluating Recidivism Data (26m)

    How to analyze recidivism rates and the factors that influence them, using a downloadable dataset.

  • Introduction to Regression Models (29m)

    A beginner-friendly look at how regression can help predict sentencing outcomes.

  • Visualizing Data for Stakeholders (13m)

    Techniques for presenting complex data in a clear, compelling way for judges, partners, or the public.

  • Building a Risk Assessment Model (35m)

    A practical walkthrough of creating a simple, transparent model to evaluate risk factors.

  • Analyzing Sentencing Disparities (21m)

    A real case study analysis of judicial data to identify potential sentencing biases.

  • Predictive Modeling for Resource Allocation (24m)

    How to use historical data to forecast future needs for law enforcement or social services.

  • Case Study: Drug Offense Evaluation (18m)

    Applying our techniques to a specific, sensitive crime category with a focus on policy impact.

  • Using NLP to Analyze Court Transcripts (30m)

    An introduction to using natural language processing to extract insights from unstructured text data.

  • Evaluating the Impact of Policy Changes (16m)

    A step-by-step guide to using data to measure the effect of new laws or policing strategies.

  • Auditing Your Analytical Model (12m)

    A checklist for testing your model for accuracy, fairness, and reliability before presenting findings.

  • From Analysis to Actionable Strategy (15m)

    How to translate your data findings into concrete recommendations for legal teams or policymakers.

  • Building a Data-Driven Legal Argument (20m)

    A workshop on incorporating statistical evidence into briefs and motions effectively.

  • Advanced GIS for Crime Evaluation (27m)

    Layering socioeconomic and demographic data onto your crime maps for deeper insights.

  • Clustering Algorithms for Crime Type Identification (25m)

    Using unsupervised learning to discover natural groupings in crime data you didn't know existed.

  • Network Analysis of Criminal Organizations (31m)

    A fascinating look at mapping relationships between actors in complex criminal cases.

  • Forecasting Future Crime Trends (22m)

    A problem-solving session on building a simple forecasting model to anticipate future challenges.

  • Interactive Data Storytelling (19m)

    Learn to create narratives that guide users through your data, making it persuasive and memorable.

  • Handling Sensitive and Confidential Data (14m)

    Best practices for maintaining security and privacy when working with real case information.

  • Peer Reviewing an Analytical Report (10m)

    A guided exercise on how to critically evaluate the work of another analyst.

  • Staying Current: Legal Analytics Trends (9m)

    Resources and tips for keeping your skills sharp as the field evolves.

  • Your First 30 Days: A Practical Plan (13m)

    A downloadable template and guide for integrating legal analytics into your daily workflow.

  • Presenting Your Findings to Non-Experts (16m)

    Techniques for explaining complex statistical concepts to a lay audience or skeptical leadership.

  • Building a Portfolio of Your Work (11m)

    How to document your projects to showcase your skills to employers or clients.

  • Sourcing Ongoing, Updated Datasets (14m)

    A guide to setting up alerts and finding reliable sources for continuous data streams.

  • Automating Your Data Analysis Pipeline (26m)

    An introduction to scripting simple tasks to save time and reduce manual errors.

  • Collaborating with Data Scientists (12m)

    How to effectively partner with technical experts when you need more advanced modeling.

  • Creating an Organizational Data Policy (18m)

    A step-by-step guide to advocating for and drafting policies on ethical data use in your organization.

  • Common Pitfalls in Legal Analytics (And How to Avoid Them) (17m)

    A problem-solving session covering the most frequent mistakes analysts make.

  • Final Project: Complete Crime Evaluation (38m)

    A capstone project where you'll apply all your skills to a new dataset and present your findings.

  • Course Wrap-Up and Future Learning Paths (7m)

    Reviewing key takeaways and outlining resources for deepening your expertise in specific areas.

  • Bonus: Interview with a Legal Data Analyst (24m)

    An insightful conversation with a professional in the field about their day-to-day work and career advice.

  • Bonus: Template for a Data-Driven Legal Memo (6m)

    A downloadable template to help you structure your own data-backed legal arguments.

  • Bonus: Glossary of Legal Analytics Terms (5m)

    A quick reference guide to the key terms and concepts covered in the course.

Course Details

  • Duration: 14.75 hours
  • Level: Adaptative
  • Language: English
  • Lessons: 47+ video lessons
  • Categories: Criminology
  • Access: Lifetime access
  • Device: Mobile & Desktop
  • Certificate: Yes. After completion and Exam

The course is totally free. Seriously appreciated attribution