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Intermediate Spark 3.X
Duration: 2 Days Code: BDT167 Category:This course is an introduction to Apache Spark version 3.x.
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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.
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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.
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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.
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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.
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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.
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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.
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Go Lang IDE
Duration: 3 Hour Code: BDT136 Category:This course introduces you to gain good insight about Golang IDE language
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Programming Basics
Duration: 1 Day Code: BDT15 Category:Programming is used to control nearly everything around us, from websites to phone apps. You may have heard of programming languages like Java or Python, but want to learn more about what programming is, and how to use it. This is the course for you!
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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.