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Data Science and Generative AI: Leveraging Best Practices and Avoiding Pitfalls
Data science is the key to business success in the information economy. This course will teach you about best practices in deploying a data science capability for your organization.
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Modern Data Warehouse Platforms and Architectures for the Cloud
This course will give you the technical reasons why scaling up is sometimes easy and sometimes very hard—at a level that architects, strategists, and decision makers can understand. You need this understanding to choose the best platform for your cloud data warehouse or workload—and to avoid platform mistakes that can be catastrophic.
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Modern Data Platforms and Architectures for Advanced Analytics, AI, and Machine Learning at Scale
In this course, you will learn how to select a data platform that meets the unique requirements of your organization for artificial intelligence (AI), machine learning (ML) and advanced analytics.
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AI and Deep Learning: Techniques and Use Cases for Profitable Applications
In this course, Keith McCormick will teach students what deep learning is and how it has become the tool of choice for certain applications. Then the instructor will present a series of examples.
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Explainable AI: Making Sense of Complex Machine Learning Models with XAI
This half-day session will introduce terms and concepts that can be applied in any setting. The focus will be practical traditional machine learning examples drawn from established industries. Participants will also get to see these concepts applied in some brief examples using a credit scoring data set, but there will not be a hands-on component.
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The Ethics of Data, Analytics, and AI
This workshop will cover a range of ethical, privacy, and legal issues that surround data and analytics activities today, as well as what may be expected in the future.
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Hands-On: Introduction to Codeless Machine Learning with KNIME
In this course, we’ll navigate the entire machine-learning lifecycle, from data ingestion to data integration and preparation to modeling and beyond.
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TDWI Data Warehouse Automation: Better, Faster, Cheaper … You Can Have It All
Data warehouse automation (DWA) is a relatively new class of technology that accelerates warehouse development and change cycles while simultaneously assuring quality and consistency. More than simply generating ETL scripts, DWA automates the entire life cycle from source system analysis to testing and documentation. Productivity gains, cost savings, and quality improvement are all possible with DWA.
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Machine Learning Bootcamp // Hands-On: Machine Learning with Python Made Easy - No, Really!
In this hands-on course, you will be provided with all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm. Focusing on core concepts and intuitions means that no complicated math is required.
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Machine Learning Bootcamp // Hands-On: Data Wrangling with Python Made Easy!
This course aims for you to return to work and immediately employ these techniques to wrangle data, enhance data analyses, and craft the most valuable machine learning models. You will get hands-on experience wrangling data using the Python pandas library via a series of labs.
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