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- Aditya Pranshu Sharma's Credentials
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- AWS Cloud Practitioner 2019: AWS Cloud & the Value Proposition
- Databricks Certified Data Engineer Associate
- Need for Design Patterns & the Principles Guiding Design Patterns
- Academy Accreditation - Databricks Lakehouse Fundamentals
- API Security
- Application Security Awareness & Validation
- Secure Application Architecture & IAM
- AWS Cloud Practitioner 2020: Cloud Architecture Design Principles
- AWS Cloud Practitioner 2020: Cloud Deployment & Operation
- AWS Cloud Practitioner 2020: Core Services
- AWS Cloud Practitioner 2020: Cloud Security & Compliance
- AWS Cloud Practitioner 2020: Cloud Economics
- AWS Cloud Practitioner 2020: Technology Support Resources
- AWS Cloud Practitioner 2020: Access Management
- AWS Cloud Practitioner 2020: Security Support Resources
- AWS Cloud Practitioner 2020: Cloud & the Value Proposition
- Software Data Analysis: Project Management Metrics
- Developing the Product & Sprint Backlogs
- SOLID & GRASP
- Cloud Security Fundamentals: Cloud Application Security
- Jenkins for DevOps: Jenkins Configuration for DevOps
- Using Docker for DevOps: Introduction to Docker
- Software Testing for DevOps: DevOps Test Tools
- The Language of DevOps: DevOps Tools & Processes
- Agile Test-Driven Development
- Automated Software Testing
- Top 10 List Items
- Cloud Computing Fundamentals: Introduction
- Release & Sprint Planning
- Using Kanban in IT & Software Development
- Agile Software Development - Scrum
- Data Analysis Using the Spark DataFrame API
- Data Analysis using Spark SQL
- Apache Spark Getting Started
- Techniques for Big Data Analytics
- Spark for High-speed Big Data Analytics
- Data Engineering Getting Started
- Data Silos, Lakes, & Streams Introduction
- Organizational IT Trends, Analytics, and Application Development
- Big Data Concepts: Getting to Know Big Data
- Big Data Concepts: Big Data Essentials
- Transforming Data
- Installation & Introduction
- Data Mapping
- Job Orchestrations & Process Automation
- Data Warehouse Essential: Architecture Frameworks & Implementation
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Functions in Python: Introduction
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Getting Started with Python: Introduction
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- Data Warehouse Essential: Concepts
- Azure Databricks & Data Pipelines
- Modern Data Warehouses
- Introduction to SQL Bootcamp: Session 2 Replay
- Introduction to SQL Bootcamp: Session 3 Replay
- Introduction to SQL Bootcamp: Session 4 Replay
- Introduction to SQL Bootcamp: Session 1 Replay
- Modern Data Management: Data Governance
- Modern Data Management: Data Quality Management
- Modern Data Management: Data Management Systems
- Data Nuts & Bolts: Fundamentals of Data
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