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Apprentice Mode
10 Modules / ~100 pages
Wizard Mode
~25 Modules / ~400 pages

Data Analytics for Transportation Optimization
( 24 Modules )

Module #1
Introduction to Transportation Optimization
Overview of the importance of data analytics in transportation optimization, course objectives, and expected outcomes.
Module #2
Data Sources for Transportation Optimization
Exploration of data sources used in transportation optimization, including GPS, sensors, and other IoT devices.
Module #3
Data Preprocessing for Transportation Data
Understanding the importance of data preprocessing and cleaning in transportation data analytics.
Module #4
Descriptive Analytics for Transportation Data
Introduction to descriptive analytics, including data visualization and summary statistics for transportation data.
Module #5
Exploratory Data Analysis for Transportation Data
Techniques for exploratory data analysis, including correlation analysis and clustering for transportation data.
Module #6
Predictive Analytics for Transportation Demand
Introduction to predictive analytics, including regression analysis and machine learning for transportation demand forecasting.
Module #7
Predictive Analytics for Transportation Supply
Predictive analytics for transportation supply, including route optimization and vehicle allocation.
Module #8
Machine Learning for Transportation Optimization
Advanced machine learning techniques for transportation optimization, including neural networks and deep learning.
Module #9
Network Analysis for Transportation Systems
Introduction to network analysis, including graph theory and network optimization for transportation systems.
Module #10
Route Optimization Algorithms
Route optimization algorithms, including the Traveling Salesman Problem (TSP) and the Vehicle Routing Problem (VRP).
Module #11
Vehicle Allocation and Dispatch
Optimization techniques for vehicle allocation and dispatch, including dynamic programming and metaheuristics.
Module #12
Fleet Management Analytics
Fleet management analytics, including vehicle maintenance and fuel consumption optimization.
Module #13
Traffic Flow Modeling and Simulation
Introduction to traffic flow modeling and simulation, including microsimulation and macroscopic models.
Module #14
Real-time Traffic Analytics
Real-time traffic analytics, including traffic monitoring and prediction using IoT sensors and machine learning.
Module #15
Mobility-as-a-Service (MaaS) Analytics
Mobility-as-a-Service (MaaS) analytics, including demand forecasting and supply optimization for MaaS platforms.
Module #16
Electric Vehicle (EV) Adoption Analytics
Electric Vehicle (EV) adoption analytics, including demand forecasting and charging infrastructure optimization.
Module #17
Autonomous Vehicle (AV) Analytics
Autonomous Vehicle (AV) analytics, including AV deployment strategies and infrastructure optimization.
Module #18
Transportation Policy and Regulatory Analytics
Transportation policy and regulatory analytics, including impact analysis and policy evaluation.
Module #19
Case Studies in Transportation Optimization
Real-world case studies in transportation optimization, including successful implementations and lessons learned.
Module #20
Data Visualization for Transportation Analytics
Data visualization techniques for transportation analytics, including Tableau, Power BI, and D3.js.
Module #21
Communication and Storytelling in Transportation Analytics
Effective communication and storytelling in transportation analytics, including data storytelling and executive reporting.
Module #22
Ethics and Bias in Transportation Analytics
Ethics and bias in transportation analytics, including fairness, accountability, and transparency in AI decision-making.
Module #23
Big Data and Cloud Computing for Transportation Analytics
Big data and cloud computing for transportation analytics, including Hadoop, Spark, and cloud-based analytics platforms.
Module #24
Course Wrap-Up & Conclusion
Planning next steps in Data Analytics for Transportation Optimization career


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