Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Ashish Ashok Patil's Credentials
- Ashish Ashok Patil's Wallet
- Leading Security Teams for GenAI Solutions: Use of Generative AI
- Responsible Use of AI
- CCSP 2019: Identity & Access Management
- CCSP 2022: Cloud Security Concepts & Design Principles
- Using Robots and RPA in the Workplace
- Exploring Business Process Automation
- Hybrid Environment Pipelines: Hybrid Cloud Transformation
- Software Design and Development: Design Patterns & SOLID Principles
- Advanced Agile: Leadership Techniques
- Exploring Project Management, Then and Now (2021 Update)
- Validate and Control Scope (PMBOK® Guide Sixth Edition)
- Effective Team Communication
- CAPM®: Performance Measurement Metrics
- Artificial Intelligence and Machine Learning
- ChatGPT Prompt Engineering Examples & Use Cases
- Generative AI APIs for Practical Applications: An Introduction
- Finetuning Your ChatGPT Prompts
- Professional Data Engineer
- Data Lake Architectures & Data Management Principles
- Data Ops
- Data Analyst to Data Scientist
- Data Lake Framework & Design Implementation
- Data Architecture Deep Dive - Design & Implementation
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Data Wrangler
- Final Exam: Data Ops
- Final Exam: Data Analyst
- Data Analyst
- Final Exam: Data Scientist
- Data Pipeline: Using Frameworks for Advanced Data Management
- Data Rollbacks: Transaction Rollbacks & Their Impact
- Final Exam: Data Wrangler
- Data Scientist
- Data Sources: Integration from the Edge
- Data Sources: Implementing Edge Data on the Cloud
- Securing Big Data Streams
- Harnessing Data Volume & Velocity: Turning Big Data into Smart Data
- Data Rollbacks: Transaction Management & Rollbacks in NoSQL
- Data Science Tools
- Delivering Dashboards: Management Patterns
- Delivering Dashboards: Exploration & Analytics
- Cloud Data Architecture: Cloud Architecture & Containerization
- Cloud Data Architecture: Data Management & Adoption Frameworks
- Data Compliance Issues & Strategies
- Implementing Governance Strategies
- Data Access & Governance Policies: Data Access Governance & IAM
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Streaming Data Architectures: Processing Streaming Data with Spark
- Scalable Data Architectures: Getting Started
- Scalable Data Architectures: Using Amazon Redshift
- Scalable Data Architectures: Using Amazon Redshift & QuickSight
- Building Data Pipelines
- Data Pipeline: Process Implementation Using Tableau & AWS
- Data Access & Governance Policies: Data Classification, Encryption, & Monitoring
- Data Research Statistical Approaches
- Data Research Exploration Techniques
- Machine & Deep Learning Algorithms: Introduction
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Creating Data APIs Using Node.js
- Hadoop & MapReduce Getting Started
- Data Silos, Lakes, & Streams Introduction
- Introduction to the Shell for Hadoop HDFS
- Data Lake Sources, Visualizations, & ETL Operations
- MongoDB Aggregation
- Getting Started with Hive
- Loading & Querying Data with Hive
- Data Analysis Using the Spark DataFrame API
- Importing & Exporting Data using R
- Data Exploration using R
- R Classification & Clustering
- Applied Data Analysis
- Hadoop HDFS Getting Started
- Working with Files in Hadoop HDFS
- Data Lakes on AWS
- Apache Spark Getting Started
- Simple Descriptive Statistics
- Inferential Statistics
- Developing a Basic MapReduce Hadoop Application
- Common Approaches to Sampling Data
- Hadoop HDFS File Permissions
- Python - Using Pandas for Visualizations and Time-Series Data
- Python - Using Pandas to Work with Series & DataFrames
- Python - Pandas Advanced Features
- Cleaning Data in R
- Technology Landscape & Tools for Data Management
- Machine Learning & Deep Learning Tools in the Cloud
- Data Wrangling with Trifacta
- MongoDB Querying
- Viewing & Querying Complex Data with Hive
- Optimizing Query Executions with Hive
- Using Hive to Optimize Query Executions with Partitioning
- Bucketing & Window Functions with Hive
- Filtering Data Using Hadoop MapReduce
- Hadoop MapReduce Applications With Combiners
- Advanced Operations Using Hadoop MapReduce
- Data Analysis using Spark SQL
- Tableau Desktop: Real Time Dashboards
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Raw Data to Insights: Data Management & Decision Making
- Storytelling with Data: Tableau & Power BI
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Advanced Visualizations & Dashboards: Visualization Using Python
- R for Data Science: Data Visualization
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Data Science Statistics: Applied Inferential Statistics
- Data Research Techniques
- Storytelling with Data: Introduction
- Python for Data Science: Basic Data Visualization Using Seaborn
- R Regression Methods
- Advanced Visualizations & Dashboards: Visualization Using R
- Data Recommendation Engines
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- The Four Vs of Data
- Data Driven Organizations
- R Data Structures
- Data Engineering Getting Started
- Cloud Security Fundamentals: Cloud Application Security
- Leading through Inspiration
- Application Security Awareness & Validation
- Secure Application Architecture & IAM
- API Security
- Top 10 List Items
- Big Data Fundamentals
- Traditional Data Architectures: Data Warehousing and ETL Systems
- New Age Data Infrastructures: Factors Driving Data Infrastructures
- Modern Data Management: Data Governance
- Data Architecture Getting Started
- Python - Introduction to Pandas and DataFrames
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Functions in Python: Introduction
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Getting Started with Python: Introduction
- Associate Cloud Engineer
- Provisioning and Modules
- Introduction to Automation
- Jenkins for DevOps: Jenkins Configuration for DevOps
- Cloud Computing Fundamentals: Introduction
- Software Testing for DevOps: DevOps Test Tools
- Using Docker for DevOps: Introduction to Docker
- Agile Test-Driven Development
- Using Kanban in IT & Software Development
- The Language of DevOps: DevOps Tools & Processes
- Agile Software Development - Scrum
- Developing the Product & Sprint Backlogs
- Release & Sprint Planning
- Software Data Analysis: Project Management Metrics
- SOLID & GRASP
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