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1. Data_Science_SpecializationData_Science_SpecializationPublic

   In this repository, you’ll learn in-demand skills used by data scientists, like Data Gathering, Analysis & Visualization, Statistical Analysis, Predictive Modeling, Machine Learning, and Data Minin…

   Jupyter Notebook 2

2. Generative_AI_Fundamentals_SpecializationGenerative_AI_Fundamentals_SpecializationPublic

   This repository contains Gen AI Fundamentals, Pormpt Engineering techniques, AI Ethics, AI Tools usage and Gen AI Impact on businesses.

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3. Generative_AI_Engineering_SpecializationGenerative_AI_Engineering_SpecializationPublic

   This repository has Fundamentals and Advanced concepts in Generative Artificial Intelligence. It has hands-on Generative AI projects and notes focused on building and deploying AI applications, cha…

   Jupyter Notebook 1

4. R_Basics_For_Data-ScienceR_Basics_For_Data-SciencePublic

   Introduction to R programming for Data Science — covering fundamentals like data types, conditional statements, loops etc, and data structures, manipulation techniques, and programming fundamentals…

   Jupyter Notebook 1

5. Data_Engineering_SpecializationData_Engineering_SpecializationPublic

   This repository contains the concepts needed to master Data Engineering. You’ll learn SQL, RDBMS, ETL, Data Warehousing, NoSQL, Big Data, and Spark with hands-on labs and projects.

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6. Python_for_AI_and_DevelopmentPython_for_AI_and_DevelopmentPublic

   This repository covers a Comprehensive Python journey — covering fundamentals, data structures, OOP, best practices, debugging, testing, standard libraries (datetime, csv, os, subprocess, requests,…

   Jupyter Notebook 1