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- User Authentication
- Nancharaiah Pulugujju's Credentials
- Nancharaiah Pulugujju's Wallet
- OWASP Overview
- Generative AI APIs for Practical Applications: An Introduction
- Agile Best Practices for Tech Leaders: Scrum Artifacts
- The Language of DevOps: DevOps Principles & Practices
- Automation Using Bash & Expect
- Introduction to Bash Scripting
- Bash Scripting Flow Control & Data Types
- Shell Scripting
- Bash Advanced Scripting & File I/O
- Configuration, Advanced Help, & Queries
- Introduction to PowerShell 5.0
- The Unix Command Line & GUI
- Aliases, Providers, & Objects
- Cmdlet Structure & Help
- Remote Management
- Syntax, Help, & Conditionals
- Users, Groups, and Authentication
- Output Formatting, Modules, & Customization
- API Security
- Application Security Awareness & Validation
- Secure Application Architecture & IAM
- SQL Concepts & Queries
- CompTIA A+ 220-1001: TCP & UDP ports
- CompTIA Linux+: Introduction to Linux & the Command Line
- DEVASC: Network & Network Communication Basics
- Cloud Security Fundamentals: Cloud Application Security
- Need for Design Patterns & the Principles Guiding Design Patterns
- Automated Software Testing
- Top 10 List Items
- Controlling Conflict, Stress, and Time in Customer Service
- Communicating Effectively with Customers
- Polishing Your Skills for Excellent Customer Service
- R Regression Methods
- Importing & Exporting Data using R
- AI Fundamentals
- Python - Introduction to NumPy for Multi-dimensional Data
- Cleaning Data in R
- Machine Learning & Data Analytics
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- IT Infrastructure Automation: Python Automation Programming
- Python for Data Science: Basic Data Visualization Using Seaborn
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python - Pandas Advanced Features
- R Data Structures
- Deep Learning & Neural Network Implementation
- Introduction
- Data Exploration using R
- R Classification & Clustering
- R for Data Science: Data Visualization
- Supervised, Unsupervised & Deep Learning
- Implementing ML Algorithm Using scikit-learn
- Machine Learning Implementation
- SOLID & GRASP
- Big Data Fundamentals
- Big Data Essentials
- Introduction to Hadoop
- Working with Data Definition Language (DDL)
- Introducing SELECT Statement Queries
- Working with DML, Optimization, & Temporal Concepts
- Primary & Partitioned Indexes
- Relational Database & Data Warehouse Basics
- Excel 2019: Working with Excel Tables
- Excel 2019: Inserting PivotTables
- Excel 2019: Creating Charts & Graphics
- Excel 2019: Referencing Data
- Excel 2019: Managing Data
- Working with Macros in Excel 2019
- Access 2019: Working with Databases
- Access 2019: Tables, Fields & Entries
- Access 2019: Finding & Organizing Data
- Access 2019: Using the Report & Analysis Tools
- Access 2019: Saving, Printing & Exporting Databases
- Access 2019: Inserting, Importing & Formatting Data
- Client Communication
- Relational Database Management System (RDBMS)
- Nancharaiah Pulugujju's Transcript
- Nancharaiah Pulugujju's Wallet
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