Unit 1: Core Python Data Structures
Unit 2: Introduction to Pandas DataFrames
Unit 3: Data Selection and Filtering
Unit 4: Data Cleaning and Manipulation
Unit 5: Data Aggregation and Visualization
Python for Traffic Engineering: Data Analysis and Modeling
Master Python for traffic engineering: analyze data, simulate traffic, and optimize transportation networks.
Unit 1: NumPy for Traffic Data Analysis
Unit 2: Descriptive Statistics with SciPy
Unit 3: Hypothesis Testing and Regression
Unit 4: Probability Distributions & Outliers
Unit 1: Introduction to Discrete-Event Simulation and SimPy
Unit 2: Modeling Traffic Elements in SimPy
Unit 3: Analyzing Simulation Output and Validation
Unit 1: Matplotlib Fundamentals for Traffic Data
Unit 2: Advanced Visualizations with Seaborn
Unit 3: Interactive Dashboards with Plotly
Unit 1: Optimization Fundamentals
Unit 2: Mathematical Programming for Traffic Signals
Unit 3: Optimization Algorithms in Python
Unit 4: Evaluating and Advanced Techniques
Unit 1: Introduction to Geospatial Analysis with Python
Unit 2: Spatial Data Manipulation and Analysis
Unit 3: Network Analysis and Interactive Mapping
Unit 1: Introduction to SUMO
Unit 2: Introduction to TraCI
Unit 3: Advanced Traffic Management