Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Aditya Garg's Credentials
- Aditya Garg's Wallet
- Performing data analysis and forecasting in Excel 365
- LLMs on Azure: Text Translation with Azure AI Translator
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Functions in Python: Working with Advanced Features of Python Functions
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Functions in Python: Introduction
- Conditional Statements & Loops: The Basics of for Loops in Python
- Python - Introduction to NumPy for Multi-dimensional Data
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- CCSP 2022: Cloud Security Concepts & Design Principles
- Data Access & Governance Policies: Data Classification, Encryption, & Monitoring
- CCSP 2019: Identity & Access Management
- Responsible Use of AI
- Leading Security Teams for GenAI Solutions: Use of Generative AI
- Exploring Business Process Automation
- Using Robots and RPA in the Workplace
- Git & GitHub: Introduction
- Hybrid Environment Pipelines: Hybrid Cloud Transformation
- Code Quality, Testing, & Development
- Testing Methods
- Software Design and Development: Design Patterns & SOLID Principles
- Embracing Agile at Scale
- Exploring Project Management, Then and Now (2021 Update)
- Agile Project Planning
- Validate and Control Scope (PMBOK® Guide Sixth Edition)
- Effective Team Communication
- CAPM®: Performance Measurement Metrics
- Generative AI APIs for Practical Applications: An Introduction
- Artificial Intelligence and Machine Learning
- Getting Started with Design Thinking
- Enabling Business Process Improvement
- Software Product Management: Gathering Requirements
- Being an Effective Team Member
- Business Analysis Activities and Tools
- CompTIA A+ Core 2: Information Management & Change Management Processes
- Business Analysis Overview
- Introduction to PowerShell 5.0
- Aliases, Providers, & Objects
- Cmdlet Structure & Help
- Syntax, Help, & Conditionals
- SQL Concepts & Queries
- CompTIA A+ 220-1001: TCP & UDP ports
- DEVASC: Network & Network Communication Basics
- Migrating to Serverless: Adopting Serverless Computing
- Migrating to Serverless: Implementing Serverless Solutions
- Selenium Deep Dive: Use Cases for Web App Component Automated Testing
- Selenium Deep Dive: Testing Single-page Applications
- Selenium Deep Dive: Applying BDD & TDD Using Selenium
- Selenium Deep Dive: Test Enhancement Using BrowserStack
- Selenium Deep Dive: Database & Log Management in Selenium Testing
- Selenium Deep Dive: Integrating TestNG & Selenium
- Selenium Deep Dive: Security Test Automation
- Selenium Deep Dive: Managing Modern Application Components
- Selenium Deep Dive: Managing Data Elements Using Python & Selenium
- Selenium Deep Dive: Automating Browser Windows & Authentication Tests
- Selenium Deep Dive: Component Testing with Selenium Framework
- Selenium Deep Dive: Managing Synchronization & Page Navigation
- Selenium Deep Dive: Working With WebDriver
- Selenium Deep Dive: Working with Selenium Grid & Patterns
- Track 2: Data Visualization with BI Tools
- Track 4: Data Visualization with Python
- Data Visualization Mastery
- Track 3: Creating Infographics for Data Visualizations
- Selenium Deep Dive: Working with Selenium IDE
- Python & Matplotlib: Getting Started with Matplotlib for Data Visualization
- Python & Matplotlib: Creating Box Plots, Scatter Plots, Heatmaps, & Pie Charts
- QlikView: Creating Line Charts, Combo Charts, Pivot Tables, & Block Charts
- Data Visualization: Getting Started with Plotly
- Advanced Python Topics: Migrating from Python 2 to Python 3
- Selenium Deep Dive: Setting Up Selenium for Automated Testing
- Final Exam: Data Visualization with Python
- QlikView: Creating Mekko Charts, Radar Charts, Gauge Charts, & Scatter Charts
- Final Exam: Data Visualization with BI Tools
- Final Exam: Creating Infographics for Data Visualizations
- Data Visualization: Visualizing Data Using Advanced Charts in Plotly
- Visme: Exploring Charts
- Infogram: Getting Started
- Infogram: Advanced Features
- Visme: Introduction
- Visme: Designing a Presentation
- Data Visualization: Building Interactive Visualizations with Bokeh
- Data Visualization: More Specialized Visualizations in Bokeh
- QlikView: Getting Started with QlikView for Data Visualization
- Track 1: Data Visualization with Excel
- Excel Visualization: Building Box Plots, Sunburst Plots, Gantt Charts, & More
- Excel Visualization: Plotting Stock Charts, Radar Charts, Treemaps, & Donuts
- Final Exam: Data Visualization with Excel
- Excel Visualization: Getting Started with Excel for Data Visualization
- Excel Visualization: Building Column Charts, Bar Charts, & Histograms
- Data Visualization: Best Practices for Creating Visuals
- Excel Visualization: Visualizing Data Using Line Charts & Area Charts
- Apache Kafka: Development
- Track 5: Resource Optimization with Python
- Pythonista to Python Master
- Final Exam: Resource Optimization with Python
- Track 4: Building Restful Web Services with Python
- Apache Kafka: Concepts & Components
- Final Exam: Building Restful Web Services with Python
- Faust: Getting Started with Stream Processing
- Faust: Stream Processing Using Models, Agents, & Channels
- Faust: Performing Operations & Maintaining State Using Tables
- Faust: Stream Processing Using Windowing Operations
- Web Applications with Django: Working with Models
- Web Applications with Django: Models and Class-based Views
- Web Applications with Django: Building Multiple Apps in a Project
- Web Applications with Django: Developing REST APIs
- Web Applications with Django: Introducing the Django Web Framework
- OpenCV: Manipulating Images
- OpenCV: Advanced Image Operations
- Web Applications with Django: Using Built-in and Custom Applications
- Flask-RESTful: Integrating the API Server with a MySQL Database
- Flask-RESTful: Parsing & Validating Input Requests
- Molten Framework: Building HTTP APIs
- Molten Framework: Advanced Features
- Track 3: Dynamic Data Handling with Python
- OpenCV: Introduction
- Operations with petl: Basic Data Transformations
- HTTP Requests with HTTPX: Introduction
- Operations with petl: Advanced Extractions & Transformations
- HTTP Requests with HTTPX: Advanced Topics
- Final Exam: Dynamic Data Handling with Python
- Flask-RESTful: Getting Started with Flask-RESTful to Build APIs
- SQL Databases Using SQLAlchemy: Chaining Joins, Views, & Indexes
- Operations with petl: Introduction
- SQL Databases Using SQLAlchemy: Using Triggers, Stored Procedures, & Transactions
- SQL Databases Using SQLAlchemy: Using the SQLAlchemy ORM
- Track 2: Data Visualization for Web App Using Python
- SQL Databases Using SQLAlchemy: Getting Started
- Dash Python Framework: Creating Widgets in Dash Apps
- SQL Databases Using SQLAlchemy: Manipulating Data
- Final Exam: Data Visualization for Web Apps Using Python
- SQL Databases Using SQLAlchemy: Querying Data
- Track 1: Python for Developers
- Dash Python Framework: Leveraging Dash with User Input & Dash DataTable
- Python Development: Leveraging Functions with Lambdas, Generators, Closures, & Decorators
- Python with Altair: Working with Specialized Graphs
- Dash Python Framework: Dash for Interactive Web Apps
- Implementing Unit Testing Best Practices
- Test Automation: Automated Software Testing
- Be Liked and Respected in the Workplace
- Software Testing Foundation 2018: Fundamentals
- Writing Effective E-mails and Instant Messages
- Managing Project Work (PMBOK® Guide Sixth Edition)
- Clean Coding Techniques: Introduction
- Cybersecurity and Networking Fundamentals
- Becoming Your Own Best Coach
- Taking Responsibility for Your Accountability
- Stakeholder Communication: Software Projects & Stakeholder Communication
- Managing and Engaging Stakeholders
- Becoming an Effective Cross-functional Team Member
- Low-code ML with KNIME: Getting Started with the KNIME Analytics Platform
- Python with Altair: Plotting Fundamental Graphs
- Python with Altair: An Introduction to Altair
- Python Statistical Plots: Time Series Data & Regression Analysis in Seaborn
- Python Statistical Plots: Visualizing & Analyzing Data Using Seaborn
- Python Development: Defining, Configuring, & Invoking Functions
- Final Exam: Python for Developers
- Python Development: Creating Classes, Handling Errors, & Importing Modules
- Python Development: Working with If Statements, Loops, & Comprehensions
- Python Development: Getting Started with Programming in Python
- Python Development: Performing Operations with Complex Data Types
- Adopting IT Automation
- IT Infrastructure Automation: Python Automation Programming
- Version & Source Control: Basics
- DevOps- More Than Just Dev & Ops
- DevOps with Ansible: Overview
- Jenkins for DevOps: Jenkins Configuration for DevOps
- CompTIA Linux+: Introduction to Linux & the Command Line
- Model Management: Building Machine Learning Models & Pipelines
- Computational Theory: Using Turing, Transducers, & Complexity Classes
- Linear Regression Models: Introduction to Logistic Regression
- Simplifying Regression and Classification with Estimators
- Computational Theory: Language Principle & Finite Automata Theory
- Linear Regression Models: Multiple & Parsimonious
- Cloud Security Fundamentals: Cloud Application Security
- Automated Software Testing
- Need for Design Patterns & the Principles Guiding Design Patterns
- Linear Regression Models: Building Models with Scikit Learn & Keras
- Linear Regression Models: Introduction
- Linear Algebra & Probability: Advanced Linear Algebra
- Linear Algebra and Probability: Fundamentals of Linear Algebra
- NLP for ML with Python: Advanced NLP Using spaCy & Scikit-learn
- Machine Learning & Data Analytics
- NLP for ML with Python: NLP Using Python & NLTK
- Machine & Deep Learning Algorithms: Introduction
- Top 10 List Items
- Secure Application Architecture & IAM
- API Security
- Application Security Awareness & Validation
- Indexer Clusters & Advanced Search
- Monitoring & Reporting
- Information Security Management
- Dashboards
- Indexes & Storage
- Fundamental Concepts
- Searching for Data & Saving Reports
- Splunk: Getting Started
- Administration
- Data Models & Pivot Reports
- Alerts & Capacity Planning
- Basic Analytical Methods
- Analytics Literacy for Business Professionals
- Defensive Programmer: Defensive Techniques
- SOLID & GRASP
- Aditya Garg's Transcript
- Aditya Garg's Wallet
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