TDWI | Training & Research | Business Intelligence, Analytics, Big Data, Data Warehousing

Upcoming Event Courses

• Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights

  Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process. more

• Hands-On: Logistic Regression Made Easy with Excel

  In this hands-on class you will learn the fundamentals of applying logistic regression to business data using Excel. more

• Hands-On: Machine Learning Made Easy - No, Really!

  In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers. more

• Introduction to Machine Learning

  Machine learning encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of machine learning. The tendency, however, is to focus primarily on the technology rather than the process. more

• Hands-On Machine Learning Made Easy - No, Really!

  In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers. more

• Supervised Machine Learning with Python

  Enroll in this new 7-week course to learn how to perform supervised machine learning using Python, one of the most popular languages in data science and predictive analytics. more

• Supervised Machine Learning: Preparing Data and Deploying Analytic Models for Classification and Prediction

  Regression, decision trees, neural networks—along with many other supervised learning techniques—provide powerful predictive insights. These data-driven insights inform the forces shaping your organization’s outcomes. more

• Unsupervised Machine Learning: Preparing Data and Deploying Analytic Models for Clustering and Association

  One of the striking things about machine learning is the wealth of techniques and algorithms available for modeling. There is seemingly a solution for every class of problem. It is easy to forget that data preparation is just as diverse. Each class of problem has a different optimal data structure associated with it. more

• Predictive Modeling with Ensembles and XAI: Advanced Techniques for Deeper Insights

  Join us for a problem-focused, applied experience where you learn to apply the analytics process to produce meaningful and valuable insights. more