Understanding LLM’s: January 13th & 14th, 2025
2 – Half Days (9:00 a.m to 12:00 p.m PST) ENDING IN :
D
H
M
S
-
Introduction to Spark 3.x
Duration: 2 Days Code: BDT168 Category:This course follows the “Introduction to Apache Spark version 2.3, and it will help you to master the Apache Spark platform.
-
Intermediate Spark 3.X
Duration: 2 Days Code: BDT167 Category:This course is an introduction to Apache Spark version 3.x.
-
Summarize Your Data with Pivot Tables in Python
Duration: 6 hours (Two Sessions, 3-3-hours ) Code: BDT166 Category:In this class, you will have the opportunity to develop Python scripts to create pivot tables by leveraging the Pandas module.
-
Python for Beginners
Duration: 12 Hours (Four Sessions, Each 3-hours) Code: BDT165 Category:Learn how to code in Python, one of the most popular programming languages today. This class covers the fundamentals of developing scripts to automate routine work and scale large-load work.
-
Introduction to R Programming
Duration: 3 Days Code: BDT164 Category:In this hands-on course, the R programming language is taught with the objectives to collect, analyze, and visualize datasets from various sources, and apply practical statistical data analysis.
-
Analyzing Data With Python
Duration: 3 Day Code: BDT163 Category:This class will help you to leverage your Python skill and venture into the field of data-analytics.
-
Introduction to Microsoft Power Automate
Duration: 2 Day Code: BDT162 Category:This short course is to you exposed to the capabilities and potential of Microsoft Power Automate and how to get started with it.
-
Introduction to Power BI
Duration: Half Day Code: BDT60 Category:This short course is to you exposed to the capabilities and potential of Microsoft Power BI and how to get started with it.
-
SQL Essentials
Duration: 6 hours (Two Sessions, 3-3-hours ) Code: BDT159 Category:This class covers how to create or delete database and tables, and how to grant/revoke access. Data insertion, deletion, or modification will be practiced.
-
Byte-Sized ML Series: Classification Algorithms
Duration: 90 Minutes Code: BDT178 Category:In this session, we’ll explore the machine learning process and discuss how to train a machine learning model to make predictions and classify data.