Statistics on customs

Statistics, Probability and AI in Customs

Map of Tracks Topics

Tracks of the Course Statistics and Probability in Customs

Course methodology, tools, and first concepts

Creating maps and inserting graphs and statistics

Descriptive statistics: creating reports with visual and numerical insights

Probability of events, Simple and Conditional Probability

Probability distribution of discrete variables

Probability distribution of continuous variables

Confidence interval

Test of hypothesis and P-Value

Linear Regression

Machine learning models

Non-parametric tests

Capstone Project

Books available on Amazon

Statistics and Probability in Customs with Python - Hardcopy link

Statistics and Probability in Customs with Python - Ebook link

Statistics, Probability and Machine Learning in customs with Python - Hardcopy link

Statistics, Probability and Machine Learning in customs with Python - Ebook link

Online content support of the Book - Statistics and Probability in Customs

Week 1 [2:40 - 3:40h]

Course methodology, tools, and first concepts

Week 2 [2:56 - 5:20h]

Building assistant bots to read and analyze statistics from several databases

Week 3 [2:50 - 3:55]

Maps and descriptive statistics: creating reports with visual and numerical insights.

Week 4 [2:30 - 3:30]

Using probability to better understand chances of fraud based on historical records

Week 5 [2:40 - 3:40h]

Discrete and Continuous random variables and its distributions

Free online books about Statistics and Python

Introductory Statistics by Barbara Illowsky and Susan Dean

Think Stats: Probability and Statistics for Programmers by Allen B. Downey

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