Site Map - skillsoft.digitalbadges-eu.skillsoft.com
- User Authentication
- Jonathan Chan's Credentials
- Jonathan Chan's Wallet
- Data for Leaders and Decision-makers
- Track 5: Data Governance and Management
- Modern Data Management: Data Governance
- Modern Data Management: Data Quality Management
- Modern Data Management: Data Management Systems
- Final Exam: Data Governance and Management
- Data Lakes
- Modern Data Warehouses
- Azure Databricks & Data Pipelines
- Final Exam: Emerging New Age Architectures
- Track 4: Emerging New Age Architectures
- Cloud Data Platforms: Cloud-based Applications & Storage
- Cloud Data Platforms: AWS, Azure, & GCP Comparison
- Cloud Data Platforms: Cloud Computing
- Data Mining and Decision Making: Data Mining for Answering Business Questions
- Data Mining and Decision Making: Modern Data Science Lifecycle
- Data Mining and Decision Making: Data Preparation & Predictive Analytics
- Data Mining and Decision Making: Predictive Analytics for Business Strategies
- Final Exam: Raw Data To Insights
- Track 3: Raw Data to Insights
- Spark for High-speed Big Data Analytics
- Techniques for Big Data Analytics
- Final Exam: Big Data Infrastructures
- Track 2: Big Data Infrastructures
- Big Data Concepts: Getting to Know Big Data
- Big Data Concepts: Big Data Essentials
- Non-relational Data: Non-relational Databases
- Track 1: Data Primer
- Data Nuts & Bolts: Fundamentals of Data
- Traditional Data Architectures: Relational Databases
- Traditional Data Architectures: Data Warehousing and ETL Systems
- Final Exam: Data Primer
- New Age Data Infrastructures: Factors Driving Data Infrastructures
- Harnessing Disruption through Data Analytics
- Exploring Data Visualization
- Motivating Action with a Compelling and Data-driven Story
- Effective Edge Computing
- The Power of Data
- Harnessing the Power of Data Science for Business Growth
- Finding the Quality in Your Data
- Maximizing Value with A/B Testing
- Organizing Business Data with Data Modeling
- Improving Marketing with Big Data
- Turning Social Intelligence into Actionable Insight
- Achieving Digital Dexterity
- Big Data
- Analytics Literacy for Business Professionals
- Embedding Data-driven Decisions into Organizational Culture
- Data Literacy for Business Professionals
- Growing Value through Algorithmic Business
- Basic Analytical Methods
- Understanding and Raising Analytics Maturity
- Big Data Fundamentals
- Big Data Interpretation
- Working with Data for Effective Decision Making
- Guiding the Analysis for Effective Data-driven Decision Making
- Framing Opportunities for Effective Data-driven Decision Making
- Reaching Efficient Solutions with Computational Thinking
- Understanding Data
- Using Data for Decision Making
- Analytics by Function
- Working with Analysts
- Data and Analytics Technologies at Work
- Basics of Data Analysis at Work
- Keeping Your Skill Set Current in the Digital Economy
- Managing Employee Development
- Uncovering and Utilizing Your Talents and Skills
- Cultivating a Passion for Learning in Yourself and Others
- Learning for Agility
- Agile for All
- Becoming a Continuous Learner
- How to Learn Effectively
- Learning from Failure
- Positive Atmosphere: How Organizational Learning Drives Positive Change
- Customer Service: Discovering Customer Needs
- Shaping the Customer Experience across Digital and Physical Channels
- Exploring Customer Journey Mapping
- Achieving Customer-centric Design with User Personas
- Customer Service: Engaging with Customers
- Customer Service: Generating Effective Solutions
- Customer Service: Fostering a Service Mindset
- Customer Feedback and Needs
- Embracing a Customer-obsessed Mentality
- Supporting Agile Team Performance (2021 Update)
- Understanding Agile Fundamentals (2021 Update)
- Customer Service: Interpreting Customers’ Service Priorities
- Customer Service: Adapting to Your Customers' Cues
- Agile Project Planning
- Managing Motivation during Organizational Change
- Leading Your Team through Change
- Making Change Stick
- Facilitating Sustainable Change
- Moving Forward with Change Planning
- Agile Project Management
- Change Management
- Embracing Agile at Scale
- The Essential Role of the Agile Product Owner
- Developing and Supporting an Agile Mindset
- Building Agile Capabilities in Your Organization
- Cultivating Enterprise Agile
- Product Management: Building a Product Roadmap and Agile Product Management
- Agile Basics
- Track 4: Cloud Computing and MLOps in AI/ML
- AI and ML for Decision-makers
- Final Exam: AI and ML for Decision-makers
- Visualizing Data for Impact: Introduction to Data Visualization
- Visualizing Data for Impact: Visual Design Theory
- Visualizing Data for Impact: Data Storytelling
- Cloud Computing and MLOps: Cloud and AI
- Cloud Computing and MLOps: Introduction to MLOps
- Cloud Computing and MLOps: ML Pipelines
- Visualizing Data for Impact: Analyzing Misleading Visualizations
- Track 3: Visualizing Data for Impact
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Developing an AI/ML Data Strategy: The Data Analytics Maturity Model
- Developing an AI/ML Data Strategy: Building an AI-powered Workforce
- Developing an AI/ML Data Strategy: Data Analytics & Data Ethics
- Fundamentals of AI & ML: Advanced Data Science Methods
- Fundamentals of AI & ML: Foundational Data Science Methods
- Track 1: Fundamentals of AI and ML
- Track 2: Developing an AI/ML Data Strategy
- Perspectives for Effective Business Analysis
- Business Analysis Professional Effectiveness Competencies
- Personal Skills for Effective Business Analysis
- Business Analysis Documentation & Criteria
- Business Analysis Activities and Tools
- Business Analysis Analytical Techniques
- The Solution Evaluation Knowledge Area
- RADD Knowledge Area: Part 1
- RADD Knowledge Area: Part 2
- The Requirements Life Cycle Management Knowledge Area
- The BA Elicitation and Collaboration Knowledge Area
- The Strategy Analysis Knowledge Area
- Business Analysis Overview
- The BA Planning and Monitoring Knowledge Area
- Leading in the Age of Generative AI
- Leading through the AI Disruption with Empathy
- Encouraging Innovation and Experimentation with AI
- Fostering a Growth Mindset in the Age of AI
- Leveraging AI as a Team Member
- Leveraging Analytical and Critical Thinking to Implement AI
- Embracing Risk and Learning from Setbacks with AI Projects
- Leading an AI Transformation
- Human Skills to Sustain an AI Transformation
- Generative AI Business Transformation
- Navigating AI Ethical Challenges and Risks
- Recognizing Hallucinations, Inaccuracies, and Bias in AI
- Reimagining the Customer Experience with Generative AI
- Establishing AI Guardrails and Governance
- Using AI to Improve the Employee Experience
- Reimagining the Sales Process with Generative AI
- Unlocking Business Solutions with AI-Powered Analytics
- Foundations of Generative AI
- Responsible Application and Guardrails for Generative AI
- Reimagining Work with Generative AI
- Harnessing the Disruption of Generative AI
- Using Strategic Thinking as a Manager
- Generative AI and Its Impact to Everyday Business
- Planning Documents
- Quality & Procurement Planning
- Documents & Terminology
- Project Management Practical Exercises
- Communication, Changes & Documentation
- Scope, Schedule, & Cost Planning
- Resource & Risk Planning
- Controlling Project Work & Closing
- Planning & Controlling the Project Schedule
- Creating a Project Schedule and Budget
- New Project Manager Essentials
- Defining a Project Scope and Team
- Navigating through Changes and Conflicts in Projects
- Managing a Project to Minimize Risk and Maximize Quality
- Taking Final Steps to Bring a Project to its Close
- Project Selection & Initiation
- CAPM®: Common Project Management Models
- Lean Concepts, Tools, & Strategies for Kanban Projects
- Agile Best Practices for Tech Leaders: Organization Fundamentals
- Agile Principles and Methodologies
- PRINCE2® Project Management Overview (2017 Update)
- Data Analyst to Data Scientist
- Data Scientist
- Planning and Managing the Project Budget (2021 Update)
- Managing the Project Resources (2021 Update)
- Final Exam: Data Scientist
- Creating Data APIs Using Node.js
- Selecting a Project Management Approach (2021 Update)
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Planning the Project Schedule (2021 Update)
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Integrating Project Activities and Changes (2021 Update)
- Machine & Deep Learning Algorithms: Introduction
- Machine & Deep Learning Algorithms: Regression & Clustering
- Data Science Statistics: Applied Inferential Statistics
- Data Research Techniques
- Data Research Exploration Techniques
- Data Research Statistical Approaches
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- R for Data Science: Data Visualization
- Advanced Visualizations & Dashboards: Visualization Using Python
- Data Recommendation Engines
- Advanced Visualizations & Dashboards: Visualization Using R
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Python for Data Science: Basic Data Visualization Using Seaborn
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Storytelling with Data: Introduction
- Tableau Desktop: Real Time Dashboards
- Storytelling with Data: Tableau & Power BI
- Raw Data to Insights: Data Management & Decision Making
- Managing the Project Schedule (2021 Update)
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- The Four Vs of Data
- Data Driven Organizations
- Agile Best Practices for Tech Leaders: Core Concepts
- Agile Best Practices for Tech Leaders: User-centered Design & Agile
- Data Ops
- Data Rollbacks: Transaction Rollbacks & Their Impact
- Data Rollbacks: Transaction Management & Rollbacks in NoSQL
- Final Exam: Data Ops
- Development & Testing with Agile: Agile Methodologies in Software Development
- Securing Big Data Streams
- Data Sources: Implementing Edge Data on the Cloud
- Harnessing Data Volume & Velocity: Turning Big Data into Smart Data
- Agile Best Practices for Tech Leaders: Agile Frameworks
- Building Data Pipelines
- Data Pipeline: Using Frameworks for Advanced Data Management
- Data Pipeline: Process Implementation Using Tableau & AWS
- Data Sources: Integration from the Edge
- Estimating Agile Project Work (2021 Update)
- Communicating and Engaging Teams and Stakeholders (2021 Update)
- Agile Stakeholder Engagement and Team Development
- Agile Project Scheduling and Monitoring
- Scalable Data Architectures: Using Amazon Redshift
- Scalable Data Architectures: Getting Started
- Scalable Data Architectures: Using Amazon Redshift & QuickSight
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Streaming Data Architectures: Processing Streaming Data with Spark
- Data Access & Governance Policies: Data Classification, Encryption, & Monitoring
- Cloud Data Architecture: Cloud Architecture & Containerization
- Data Compliance Issues & Strategies
- Cloud Data Architecture: Data Management & Adoption Frameworks
- Implementing Governance Strategies
- Data Access & Governance Policies: Data Access Governance & IAM
- Data Science Tools
- Delivering Dashboards: Exploration & Analytics
- Delivering Dashboards: Management Patterns
- Data Wrangler
- Final Exam: Data Wrangler
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Data Lake Framework & Design Implementation
- Data Architecture Deep Dive - Design & Implementation
- Data Lake Architectures & Data Management Principles
- Data Analysis Using the Spark DataFrame API
- Data Analysis using Spark SQL
- Advanced Operations Using Hadoop MapReduce
- Filtering Data Using Hadoop MapReduce
- Hadoop MapReduce Applications With Combiners
- Using Hive to Optimize Query Executions with Partitioning
- Bucketing & Window Functions with Hive
- Optimizing Query Executions with Hive
- Loading & Querying Data with Hive
- Viewing & Querying Complex Data with Hive
- MongoDB Querying
- MongoDB Aggregation
- Getting Started with Hive
- Data Wrangling with Trifacta
- Technology Landscape & Tools for Data Management
- Cleaning Data in R
- Machine Learning & Deep Learning Tools in the Cloud
- Python - Pandas Advanced Features
- Python - Using Pandas to Work with Series & DataFrames
- Python - Using Pandas for Visualizations and Time-Series Data
- Data Analyst
- Final Exam: Data Analyst
- Applied Data Analysis
- Data Lake Sources, Visualizations, & ETL Operations
- Data Lakes on AWS
- Data Silos, Lakes, & Streams Introduction
- Working with Files in Hadoop HDFS
- Hadoop HDFS File Permissions
- Developing a Basic MapReduce Hadoop Application
- Hadoop HDFS Getting Started
- Introduction to the Shell for Hadoop HDFS
- Apache Spark Getting Started
- Inferential Statistics
- Hadoop & MapReduce Getting Started
- R Classification & Clustering
- Simple Descriptive Statistics
- Common Approaches to Sampling Data
- R Regression Methods
- Importing & Exporting Data using R
- Data Exploration using R
- Python - Advanced Operations with NumPy Arrays
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Python - Introduction to Pandas and DataFrames
- R Data Structures
- Data Engineering Getting Started
- Python - Introduction to NumPy for Multi-dimensional Data
- Data Architecture Getting Started
- Python Novice to Pythonista
- Pythonista
- Final Exam: Pythonista
- Python Design Patterns: Working with Structural Design Patterns
- Python Design Patterns: Working with Behavioral Design Patterns
- Python Design Patterns: Working with Creational Design Patterns
- Python Design Patterns: Principles of Good Design
- Socket Programming in Python: Introduction
- Socket Programming in Python: Advanced Topics
- Excel with Python: Performing Advanced Operations
- Excel with Python: Constructing Data Visualizations
- Introduction to Using PyCharm IDE
- Excel with Python: Working with Excel Spreadsheets from Python
- Python Journeyman
- Final Exam: Python Journeyman
- Python Concurrent Programming: Asynchronous Executions in Python
- Python Concurrent Programming: Multiprocessing in Python
- Python Concurrent Programming: Multithreading in Python
- Python Concurrent Programming: Introduction to Concurrent Programming
- Flask in Python: User Authentication in a Flask Application
- Flask in Python: User Interactions in Flask Applications
- Flask in Python: Building a Simple Web Site Using Flask
- Flask in Python: An Introduction to Web Frameworks & Flask
- Python Requests: HTTP Requests with Python
- Python Unit Testing: Testing Python Code Using doctest
- Python Unit Testing: Testing Python Code Using pytest
- Python Unit Testing: Advanced Python Testing Using the unittest Framework
- Python Unit Testing: An Introduction to Python's unittest Framework
- Python Apprentice
- Final Exam: Python Apprentice
- Data Structures & Algorithms in Python: Implementing Trees & Graphs
- Data Structures & Algorithms in Python: Trees & Graphs
- Data Structures & Algorithms in Python: Implementing Sorting Algorithms
- Data Structures & Algorithms in Python: Sorting Algorithms
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Data Structures & Algorithms in Python: Implementing Data Structures
- Python Classes & Inheritance: Advanced Functionality Using Python Classes
- Python Classes & Inheritance: Working with Inheritance in Python
- Python Classes & Inheritance: Getting Started with Classes in Python
- Python Classes & Inheritance: Introduction
- Advanced Python Topics: Migrating from Python 2 to Python 3
- Advanced Python Topics: Modules & Virtual Environments
- Advanced Python Topics: Exceptions & Command Line Arguments
- Advanced Python Topics: File Operations in Python
- Python Novice
- Final Exam: Python Novice
- Functions in Python: Working with Advanced Features of Python Functions
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Functions in Python: Introduction
- Conditional Statements & Loops: While Loops in Python
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Getting Started with Python: Introduction
- Jonathan Chan's Transcript
- Jonathan Chan's Wallet
- About Accredible