Lecture 1 - Introduction - Part 1
Lecture 2 - Introduction - Part 2
Lecture 3 - Data Driven Governance and Digital - Participation - Part 1
Lecture 4 - Data Driven Governance and Digital - Participation - Part 2
Lecture 5 - Open Data Platforms
Lecture 6 - Types of Data and Data format
Lecture 7 - Types of Database
Lecture 8 - Database Normalization - Part 1
Lecture 9 - Database Normalization - Part 2
Lecture 10 - NoSQL and Non-Relational Databases
Lecture 11 - Querying Databases
Lecture 12 - SQL - Part 1
Lecture 13 - SQL - Part 2
Lecture 14 - SQL - Part 3
Lecture 15 - Data Access and APIs
Lecture 16 - Introduction to Python
Lecture 17 - Python - Part 1
Lecture 18 - Python - Part 2
Lecture 19 - Object Oriented Programming
Lecture 20 - Classes and Instances in Python
Lecture 21 - Data Access and Manipulation - Part 1
Lecture 22 - Data Access and Manipulation - Part 2
Lecture 23 - Data Access and Manipulation - Part 3
Lecture 24 - Data Analysis and Visualization - Part 1
Lecture 25 - Data Analysis and Visualization - Part 2
Lecture 26 - Machine Learning Basics
Lecture 27 - Foundational Theories
Lecture 28 - Machine Learning Typology
Lecture 29 - Data Analysis and Visualization - Part 3
Lecture 30 - Data Analysis and Visualization - Part 4
Lecture 31 - Introduction to Supervised Learning and Linear Regression
Lecture 32 - MI Workflow via Linear Regression in Python
Lecture 33 - Decision Tree - Part 1
Lecture 34 - Decision Tree - Part 2
Lecture 35 - Decision Tree - Part 3
Lecture 36 - Binary Logistic Regression
Lecture 37 - Multinomial Logistic Regression
Lecture 38 - k-Nearest Neighbours (k-NN)
Lecture 39 - Support Vector Machine (SVM)
Lecture 40 - Semi-Supervised Learning
Lecture 41 - Clustering - Part 1
Lecture 42 - Clustering - Part 2
Lecture 43 - Clustering - Part 3
Lecture 44 - Association Rule Learning
Lecture 45 - Dimensionality reduction and feature extraction
Lecture 46 - Neural Networks
Lecture 47 - Deep Learning
Lecture 48 - Convolutional Neural Networks (CNNs)
Lecture 49 - Recurrent Neural Networks (RNN) and Long Short-Term Memory (LSTM)
Lecture 50 - Reinforcement Learning
Lecture 51 - Introduction to IoT
Lecture 52 - IoT System Architecture - Part 1
Lecture 53 - IoT System Architecture - Part 2
Lecture 54 - Building with Arduino - Part 1
Lecture 55 - Building with Arduino - Part 2
Lecture 56 - IoT Systems
Lecture 57 - Querying with GIS
Lecture 58 - Geospatial Analysis - Part 1
Lecture 59 - Geospatial Analysis - Part 2
Lecture 60 - Geospatial Analysis - Part 3
