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- User Authentication
- MUKUL PRATAP SINGH's Credentials
- MUKUL PRATAP SINGH's Wallet
- Data Analyst to Data Scientist
- Data Scientist
- Data Research Techniques
- Final Exam: Data Scientist
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Advanced Visualizations & Dashboards: Visualization Using R
- R for Data Science: Data Visualization
- Data Science Statistics: Applied Inferential Statistics
- Data Recommendation Engines
- Creating Data APIs Using Node.js
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Introduction
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Advanced Visualizations & Dashboards: Visualization Using Python
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Data Research Exploration Techniques
- Data Research Statistical Approaches
- Data Ops
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Final Exam: Data Ops
- Storytelling with Data: Introduction
- Data Access & Governance Policies: Data Classification, Encryption, & Monitoring
- Data Access & Governance Policies: Data Access Governance & IAM
- Data Rollbacks: Transaction Management & Rollbacks in NoSQL
- Data Rollbacks: Transaction Rollbacks & Their Impact
- Data Driven Organizations
- Scalable Data Architectures: Getting Started
- Data Sources: Integration from the Edge
- Data Science Tools
- Delivering Dashboards: Exploration & Analytics
- The Four Vs of Data
- Data Pipeline: Process Implementation Using Tableau & AWS
- Delivering Dashboards: Management Patterns
- Scalable Data Architectures: Using Amazon Redshift
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Cloud Data Architecture: Cloud Architecture & Containerization
- Cloud Data Architecture: Data Management & Adoption Frameworks
- Raw Data to Insights: Data Management & Decision Making
- Implementing Governance Strategies
- Securing Big Data Streams
- Storytelling with Data: Tableau & Power BI
- Scalable Data Architectures: Using Amazon Redshift & QuickSight
- Harnessing Data Volume & Velocity: Turning Big Data into Smart Data
- Building Data Pipelines
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python for Data Science: Basic Data Visualization Using Seaborn
- Tableau Desktop: Real Time Dashboards
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Data Pipeline: Using Frameworks for Advanced Data Management
- Data Sources: Implementing Edge Data on the Cloud
- Streaming Data Architectures: Processing Streaming Data with Spark
- Data Compliance Issues & Strategies
- Data Wrangler
- MongoDB Aggregation
- Python - Pandas Advanced Features
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Final Exam: Data Wrangler
- MongoDB Querying
- Cleaning Data in R
- Data Lake Framework & Design Implementation
- Python - Using Pandas to Work with Series & DataFrames
- Machine Learning & Deep Learning Tools in the Cloud
- Python - Using Pandas for Visualizations and Time-Series Data
- Data Lake Architectures & Data Management Principles
- Data Analysis Using the Spark DataFrame API
- Data Analysis using Spark SQL
- Getting Started with Hive
- Data Architecture Deep Dive - Design & Implementation
- Loading & Querying Data with Hive
- Technology Landscape & Tools for Data Management
- Data Wrangling with Trifacta
- Viewing & Querying Complex Data with Hive
- Filtering Data Using Hadoop MapReduce
- Using Hive to Optimize Query Executions with Partitioning
- Optimizing Query Executions with Hive
- Advanced Operations Using Hadoop MapReduce
- Bucketing & Window Functions with Hive
- Hadoop MapReduce Applications With Combiners
- Data Analyst
- Final Exam: Data Analyst
- Hadoop & MapReduce Getting Started
- Data Lake Sources, Visualizations, & ETL Operations
- Data Engineering Getting Started
- Data Silos, Lakes, & Streams Introduction
- Developing a Basic MapReduce Hadoop Application
- R Classification & Clustering
- Python - Introduction to NumPy for Multi-dimensional Data
- R Regression Methods
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Data Exploration using R
- Hadoop HDFS Getting Started
- Apache Spark Getting Started
- Importing & Exporting Data using R
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- R Data Structures
- Simple Descriptive Statistics
- Applied Data Analysis
- Introduction to the Shell for Hadoop HDFS
- Working with Files in Hadoop HDFS
- Inferential Statistics
- Common Approaches to Sampling Data
- Data Architecture Getting Started
- Hadoop HDFS File Permissions
- Data Lakes on AWS
- Cloud Security Architect
- Cloud Security Admin
- Network Security Specialist to CloudOps Security Architect
- Final Exam: Cloud Security Admin
- Final Exam: Cloud Security Architect
- Network Security Specialist
- Security Admin
- Final Exam: Security Admin
- Final Exam: Network Security Specialist
- Cloud Platform Security: Infrastructure Protection
- Cloud Platform Security: Incident Response & Remediation
- Cloud Platform Security: Designing Secure Access
- Cloud Platform Security: Platform & Infrastructure Security
- Cloud Platform Security: System Monitoring & Protection
- Cloud Security Management: Data Security
- Cloud Security Management: Operations Security
- Cloud Security Management: Legal & Compliance
- Cloud Security Management: Platform & Infrastructure Security
- Securing AWS: Infrastructure Security
- Cloud Security Management: Architecture Security
- Cloud Security Management: Risk Management
- Securing AWS: Identity & Access Management
- Securing AWS: Fundamentals
- Securing AWS: Data Protection
- Cloud Security Administration: Cloud Data & Application Security
- Cloud Security Administration: Introduction
- Cloud Security Administration: Continuous Operational Improvement
- Cloud Security Administration: Regulatory Conformance
- Cloud Security Administration: Infrastructure Planning
- Cloud Security Administration: Hardened Cloud Security
- Cloud Security Fundamentals: Cloud Data Security
- Business Continuity: Secure Cloud Computing
- Cloud Security Fundamentals: Cloud Application Security
- Cloud Security Fundamentals: Legal & Compliance
- Cloud Security Fundamentals: Cloud Infrastructure Security
- Cloud Management
- Business Continuity: Cloud Integration
- Cloud Security Fundamentals: Architectural & Design Concepts
- Cloud Services: Cloud Computing Concepts
- Cloud Security Fundamentals: Basics of Cloud Operations
- DevOps Security Considerations: DevSecOps Principles
- CI/CD Implementation for DevOps
- OWASP: Top 10 Item A10
- OWASP: Top 10 & Web Applications
- Azure Fundamentals: Azure Security Services
- OWASP: Top 10 Items A3, A2, & A1
- OWASP: Top 10 Items A6, A5, & A4
- OWASP: Top 10 Items A9, A8, & A7
- SecOps Engineer: System Infrastructure Security
- OWASP: Web Application Security
- Penetration Testing Fundamentals
- DevOps Security Considerations: Securing DevOps Pipeline
- Certified Secure Software Lifecycle Professional (CSSLP) 2019: Core Concepts
- Pen Testing Awareness: Results Management
- Certified Secure Software Lifecycle Professional (CSSLP) 2019: Security Design Principles
- CompTIA Security+: Security Concepts in an Enterprise Environment
- CompTIA Security+: Authentication & Authorization Design Concepts
- SecOps Engineer: Threat Mitigation
- PenTesting for Physical Security
- Certified Secure Software Lifecycle Professional (CSSLP) 2019: Security Requirements
- Monitoring & Reporting
- Access Controls
- SecOps Engineer: Cloud & IoT security
- Secure Programmer: Resiliency Coding
- Secure Programmer: Encryption
- Secure Programmer: Attacks
- OWASP Overview
- Risk Assessment and Management
- Secure Programmer: Vulnerabilities
- System Security Certified Practitioner (SSCP 2018): Cryptography Primer
- CompTIA Cybersecurity Analyst+: Cloud Computing
- CompTIA Security+: Incident Response, Digital Forensics, & Supporting Investigations
- Clean Coding Techniques: Functions, Type Checking, Error Handling, & Testing
- Clean Coding Techniques: Defensive Programming, MVC, & DDD
- Clean Coding Techniques: Introduction to SOLID
- Clean Coding Techniques: Implementation
- Clean Coding Techniques: Syntax, Variables, Objects, & Classes
- Clean Coding Techniques: Introduction
- Clean Coding Techniques: Architecture & Testable Code
- Information Security: Security Governance
- Security Architecture and Engineering
- CISSP: Software Development Security
- CCSP 2019: Application Development & Security
- Secure Agile Programming: Testing
- Access Control and Security Architecture Design
- CompTIA Security+: Analyzing Application & Network Attacks
- CompTIA Cybersecurity Analyst+: Business Continuity
- CompTIA Security+: Social Engineering Techniques & Other Attack Types
- MySQL: Querying Data
- MySQL Database Development: DDL Statements
- MySQL Database Development: Introduction
- MySQL: Getting Started
- MySQL: Understanding & Implementing Joins
- System Security Certified Practitioner (SSCP 2018): Security Concepts
- MUKUL PRATAP SINGH's Transcript
- MUKUL PRATAP SINGH's Wallet
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