Understanding LLM’s: January 13th & 14th, 2025
2 – Half Days (9:00 a.m to 12:00 p.m PST) ENDING IN :
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Introduction to GitHub and Code Collaboration
Duration: Half Day (3 hours) Code: BDT118 Category:Once you’ve learned the basics of coding it’s important to have the ability to both share your expertise as well as to learn from others’ code.
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Advancing into Data Analytics from Excel to Python
Duration: 1 Day Code: BDT117 Category:Excel users will review the foundations of data analytics using Excel and then transfer and advance that knowledge to perform a complete data analysis using the Python programming language.
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AI/ML Byte-Sized Series: Machine Learning Introduction
Duration: 90 Minutes Code: BDT115 Category:A short session indented to understand machine learning, what is involved in doing machine learning development. This session is an initial step to getting started with machine learning development using python.
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AI/ML Byte-Sized Series: Unsupervised Learning
Duration: 90 Minutes Code: BDT114 Category:Cluster analysis is a vital component of unsupervised learning and data science. In this short session, we will explore the couple of unsupervised learning techniques – perform data clustering, reduce data dimensionality.
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AI/ML Byte-Sized Series: Recommendation Systems
Duration: 90 Minutes Code: BDT113 Category:A short course on understanding what are recommendation systems. Understand different types of recommendation systems and the tools used to build them.
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Byte-Sized ML Basic Series: Unsupervised Learning
Duration: 90 Minutes Code: BDT114 Category:I Cluster analysis is a vital component of unsupervised learning and data science.
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Data Science with Hadoop and Spark
Duration: 3 Days Code: BDT62 Category:This course will teach participants how to use Apache Hadoop and Apache Spark to solve sophisticated data science problems, producing valuable insights in a wide range of scenarios.
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Explore The World Of Data Science (Lecture)
Duration: 1 Day Code: BDT40 Category:This lecture will give a broad overview of Data Science. We’ll clarify the relationship between Data Science and Machine Learning and explore the Data Science process.
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Introduction to the Art & Science of Data Management
Duration: 1 Day Code: BDT36 Category:The Introduction to the Art & Science of Data Management course will expose you to the data practices that allow you to get the most value from your data. Good data management is necessary to find the delicate balance between data enablement and data security and privacy.
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Python for Data Science
Duration: 1 Day Code: BDT20 Category:Python is the language of data science and this Python for Data Science class will expose you to the most important libraries (i.e., NumPy, Pandas, Matplotlib, and Scikit-learn) that will enable you to effectively do data science using Python.