- Principles of Database Management: The Practical Guide to Storing, Managing and Analyzing Big and Small Data - Jan 10, 2019.
This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more.
Bart Baesens, Book, Database Management
- Principles of Database Management: The Practical Guide to Storing, Managing and Analyzing Big and Small Data - Sep 26, 2018.
This comprehensive textbook teaches the fundamentals of database design, modeling, systems, data storage, and the evolving world of data warehousing, governance and more.
Bart Baesens, Book, Database Management
- OLAP queries in SQL: A Refresher - Sep 3, 2018.
Based on the recent book - Principles of Database Management - The Practical Guide to Storing, Managing and Analyzing Big and Small Data - this post examines how OLAP queries can be implemented in SQL.
Bart Baesens, OLAP, SQL
- YouTube videos on database management, SQL, Datawarehousing, Business Intelligence, OLAP, Big Data, NoSQL databases, data quality, data governance and Analytics – free - May 18, 2018.
Watch over 20 hours of YouTube videos on databases and database design, Physical Data Storage, Transaction Management and Database Access, and Data Warehousing, Data Governance and (Big) Data Analytics - all free.
Analytics, Bart Baesens, Big Data, Business Intelligence, Data Governance, Data Quality, Data Warehousing, Databases, NoSQL, SQL, Youtube
- New Book: Credit risk analytics, The R Companion - Mar 16, 2018.
Credit risk analytics in R will enable you to build credit risk models from start to finish, with access to real credit data on accompanying website, you will master a wide range of applications.
Analytics, Bart Baesens, Credit Risk, R
- New E-learning course: Profit-driven Business Analytics - Jan 8, 2018.
The e-learning course on profit-driven business analytics presents a toolbox of advanced analytical approaches that support subsequent cost-optimal decision making.
Bart Baesens, Business Analytics, Descriptive Analytics, Online Education, Predictive Analytics, Profit
- Web Scraping for Data Science with Python - Dec 6, 2017.
We take a quick look at how web scraping can be useful in the context of data science projects, eg to construct a social graph based of S&P 500 companies, using Python and Gephi.
Bart Baesens, Data Science, Python, S&P 500, Web Mining, Web Scraping
- E-learning courses on Advanced Analytics, Credit Risk Modeling, and Fraud Analytics - Apr 18, 2017.
These online courses, developed by Prof. Bart Baesens and SAS, include videos, case studies, quizzes, and focus on focusses on the concepts and modeling methodologies and not on specific software.
Advanced Analytics, Bart Baesens, Credit Risk, Fraud analytics, Online Education, SAS
- New e-learning course: Fraud Analytics using Descriptive, Predictive and Social Network Analytics - Jan 31, 2017.
This online course teaches how to find fraud patterns from historical data using descriptive analytics, and social network learning.
Bart Baesens, Fraud analytics, Fraud Detection, SAS, Social Media Analytics
- Self-Paced E-learning course: Advanced Analytics in a Big Data World. - Mar 15, 2016.
The course covers the entire analytics process, from data preprocessing to advanced modeling, including ensemble methods (bagging, boosting, random forests), neural networks, SVMs, Bayesian networks, social networks, monitoring and more.
Advanced Analytics, Bart Baesens, Big Data, Online Education
- Self-Paced E-Learning course: Credit Risk Modeling - Mar 8, 2016.
The course covers basic and advanced modeling, including stress testing Probability of Default (PD), Loss Given Default (LGD ) and Exposure At Default (EAD) models.
Bart Baesens, Credit Risk, Online Education, Risk Modeling
- Online course: Credit Risk Modeling - Oct 7, 2015.
The course covers basic and advanced modeling, including stress testing Probability of Default (PD), Loss Given Default (LGD ) and Exposure At Default (EAD) models.
Bart Baesens, Credit Risk, Online Education, Risk Modeling
- Self-Paced E-learning course: Advanced Analytics in a Big Data World - Oct 6, 2015.
The course covers the entire analytics process, from data preprocessing to advanced modeling, including ensemble methods (bagging, boosting, random forests), neural networks, SVMs, Bayesian networks, social networks, monitoring and more.
Advanced Analytics, Bart Baesens, Big Data, Online Education
- Poll: Machine Learning APIs - Apr 4, 2015.
Poll from Bart Baesens at KU Leuven asks about your usage of Machine Learning APIs and other predictive analytics tools.
API, Bart Baesens, Machine Learning, Poll
- New Book: Analytics in a Big Data World – The Essential Guide to Data Science - May 13, 2014.
For organizations looking to enhance their capabilities via data analytics, this book is the go-to reference for applying Data Science to make the right business decisions.
Analytics, Applications, Bart Baesens, Big Data, Book, Data Science, Wiley
