Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Shadi Matthew Halabi's Credentials
- Shadi Matthew Halabi's Wallet
- Learn MongoDB
- Track 1: Fundamentals of MongoDB
- Learn MongoDB
- Data Engineer
- Python Pandas for Data Engineers
- Introduction to Big Data with PySpark
- Data Management Portfolio Project
- GitHub Portfolio Project
- Python Pandas for Data Science
- Python Pandas for Data Science
- Data Wrangling, Cleaning, and Tidying
- Data Wrangling, Cleaning, and Tidying
- Python Pandas for Data Science
- Python Pandas for Data Science
- Learn Git II: Git for Deployment
- Software Engineering for Data Scientists
- Data Pipeline Portfolio Project
- Learn Git II: Git for Deployment
- Software Engineering for Machine Learning/AI Engineers
- Git and GitHub, Part II
- Git and GitHub, Part II
- Git and Github, Part II
- Data Wrangling, Cleaning, and Tidying
- Data Wrangling, Cleaning, and Tidying
- SQL Fundamentals for Data Engineers
- Getting Started Off-Platform for Data Engineers
- Python Fundamentals for Data Science (Part I)
- Python Fundamentals for Data Science (Part II)
- Python Fundamentals for Data Science (Part I)
- Python Fundamentals for Data Science (Part I)
- Python Fundamentals for Data Science (Part II)
- Python Fundamentals for Data Science (Part I)
- Python Fundamentals for Data Science (Part II)
- Introducing Natural Language Processing
- Search Problems
- Transforming the Workplace Using Artificial Intelligence
- Planning AI Implementation
- Getting Started with Machine Learning
- Track 4: Working with Databases
- Introduction to the Computer Science Career Path
- Learn SQL
- Learn SQL
- Working with Databases
- Python Fundamentals for Data Engineers
- Working with Databases
- Working with Databases
- Learn SQL
- Learn SQL
- Data Structures & Algorithms in Python: Implementing Data Structures
- Data Structures & Algorithms in Python: Fundamental Data Structures
- Data Structures & Algorithms in Python: Implementing Trees & Graphs
- Data Structures & Algorithms in Python: Sorting Algorithms
- Data Structures & Algorithms in Python: Implementing Sorting Algorithms
- Data Structures & Algorithms in Python: Trees & Graphs
- Principles of Data Literacy
- Track 1: Principles of Data Literacy
- Track 3: Basic Sorting Algorithms in Python
- Track 1: Linked Lists, Queues, Stacks, and Hashmaps in Python
- Track 4: Trees, Graphs, and Search in Python
- The Essential Data Structures and Algorithms in Python
- Track 5: Implementing Trees and Graphs in Python
- Principles of Data Literacy
- Principles of Data Literacy
- Principles of Data Literacy
- Principles of Data Literacy
- The Complete Data Structures and Algorithms in Python
- Track 2: Recursion and Time and Space Complexity in Python
- Track 3: Basic Sorting Algorithms in Python
- Track 4: Trees and Tree Traversal in Python
- Portfolio Project: Creating Recommendation Software
- Creating & Editing Macros in Excel 2019 for Windows
- Working with Macros in Excel 2019 for Windows
- Getting to Know Macros in Excel 2019 for Windows
- Referencing Data in Excel 2019 for Windows
- Track 1: Linked Lists, Queues, Stacks, and Hashmaps in Python
- Track 5: Graphs and Graph Traversal in Python
- Graphs and Graph Traversal
- Trees and Tree Traversal
- Track 6: Introduction to Dynamic Programming in Python
- Sorting Algorithms
- Dynamic Programming
- Database Basics
- Database Basics
- Basic Algorithms
- Database Basics
- Track 2: Recursion and Time and Space Complexity in Python
- Queues, Stacks, and HashMaps
- Linked Lists
- Portfolio Project: Python Terminal Game
- Setting Up a Dev Environment
- Deploying Websites
- Deploying Websites
- Traditional Data Architectures: Data Warehousing and ETL Systems
- Traditional Data Architectures: Relational Databases
- Predictive Modeling: Predictive Analytics & Exploratory Data Analysis
- Data Mining and Decision Making: Modern Data Science Lifecycle
- New Age Data Infrastructures: Factors Driving Data Infrastructures
- Track 2: Coding with Blockly
- Introduction to Programming Principles
- Fundamentals of Python
- Welcome to the Data Engineer Career Path
- Advanced SQL for Data Engineers
- Advanced SQL for Data Science
- Advanced SQL for Data Science
- Track 3: Manage Github
- Track 1: Code Foundations
- Track 3: Choosing a Programming Language
- Track 1: Learn Command Line
- Track 1: Learn Command Line
- Track 2: Learn Bash Scripting
- Track 1: Learn the Command Line
- Git and GitHub, Part I
- Using Basic Formulas in Excel 2019 for Windows
- Formatting Data in Excel 2019<br> for Windows
- Sorting & Filtering Data in Excel 2019 for Windows
- Finding & Grouping Data in Excel 2019 for Windows
- Forecasting & Solving Problems in Excel 2019 for Windows
- Custom & Conditional Formatting in Excel 2019 for Windows
- Knowing When to Take Strategic Risks
- Inserting & Manipulating Data in Excel 2019 for Windows
- Creating & Saving Workbooks in Excel 2019 for Windows
- Getting Started in Excel 2019 for Windows
- Illustrating Documents in Excel 2019 for Windows
- Excel Basics
- Excel Basics
- Excel Basics
- Microsoft Excel
- Track 5: Choosing A Career In Tech
- Track 1: Learn Python
- Track 1: Learn Python
- Welcome to the Data Scientist: Machine Learning Specialist Career Path
- Welcome to the Back-End Engineer Path
- Project: The Boredless Tourist
- Basic Python Data Structures and Objects
- Learn Tableau for Data Visualization
- Welcome to the Data Scientist: Analytics Specialist Career Path
- Welcome to the Data Scientist: Inference Specialist Career Path
- Programming in Python on Your Computer
- Intermediate Python for Data Engineers
- Welcome to the Data Scientist: Natural Language Processing Specialist Career Path
- Git and Github, Part I
- Learn Microsoft Excel for Data Analysis
- Learn Git: Introduction to Version Control
- Learn the Command Line
- Advanced Python for Data Engineers
- Git and GitHub, Part I
- Track 2: Github Markdown & README File
- Track 1: Git & Github
- Learn Git: Introduction to Version Control
- Track 2: Bash Scripting
- Command Line and Bash Scripting
- Learn Bash Scripting
- Software Engineering in Python I
- Software Engineering in Python II
- Learn the Command Line
- Track 1: Learn the Command Line
- Track 1: Learn Python 3
- Python 3
- Agile Project Planning
- Agile Principles and Methodologies
- Agile Stakeholder Engagement and Team Development
- Ethical Standards and PMI® Core Values
- Agile Project Scheduling and Monitoring
- Agile Key Exam Concepts
- Ethics and Project Management
- Working with Microsoft Azure SQL: Getting Started with Azure SQL
- Working with Microsoft Azure SQL: Advanced Topics in Azure SQL Databases
- Working with Microsoft Azure SQL: Using Transact-SQL for Queries & Transactions
- Track 1: Learn Go
- Learn Go
- Track 6: Learn Advanced Python 3
- Track 5: Search Algorithms in Python 3
- Track 3: Recursion and Sorting Algorithms in Python 3
- Track 2: Learn Intermediate Python 3
- Track 4: Data Structures in Python 3
- An Overview of Cloud Databases
- Track 1: Cloud Databases
- Track 2: Aggregates, Multiple Tables, and Subqueries with SQL
- Analyze Data with SQL
- Track 2: Databases with SQL
- Data Analytics Specialist
- Performing data calculations using formulas in Excel 365
- Getting started with charts in Excel 365
- Working with tables in Excel 365 (2023)
- Getting started with charts in Excel 365 (2023)
- Performing Calculations in Tableau Desktop
- Blending & Managing Data Files in Tableau Desktop
- Creating Data Visualizations in Tableau Desktop
- Analyzing Data in Tableau Desktop
- Going Deeper with Maps in Tableau Desktop
- Enhancing Data Visualizations in Tableau Desktop
- Presenting & Delivering Vizzes in Tableau Desktop
- Opening & Connecting Data Sources in Tableau Desktop
- Preparing & Cleaning Data in Tableau Desktop
- Working with Data & Fields in Tableau Desktop
- Tableau Desktop: Real Time Dashboards
- Formatting cells and ranges in Excel 365
- Track 1: Exploring and Visualizing Data in Excel
- Track 4: SQL for Marketers and Product Managers
- Track 3: Intermediate SQL Functions
- Learn Tableau for Data Visualization
- Track 1: Learn Tableau for Data Visualization
- Track 3: Tableau
- Responding to Risk (PMBOK® Guide Sixth Edition)
- Planning Risk Management (PMBOK® Guide Sixth Edition)
- Procurement Management (PMBOK® Guide Sixth Edition)
- Analyzing Risk (PMBOK® Guide Sixth Edition)
- Procurement Planning (PMBOK® Guide Sixth Edition)
- Identifying Risk (PMBOK® Guide Sixth Edition)
- Monitor Project Communications (PMBOK® Guide Sixth Edition)
- Develop and Manage Resources (PMBOK® Guide Sixth Edition)
- Plan and Manage Communications (PMBOK® Guide Sixth Edition)
- Track 1: SQL Basics
- Opening & Setting Up in Word 2019 for Windows
- Track 1: Exploring Data
- Track 2: Visualizing Data
- Track 3: Handling Data
- Microsoft Excel
- Getting started in Excel 365 (2023)
- Entering data in Excel 365 (2023)
- Viewing & printing worksheets in Excel 365 (2023)
- Formatting cells in Excel 365 (2023)
- Referencing cells in Excel 365 (2023)
- Exploring essential functions in Excel 365 (2023)
- Getting started in Excel 365
- 10 common tools in Excel 365 (2023)
- Six Sigma Black Belt: Determining Requirements from the Voice of the Customer
- Six Sigma Black Belt: Using Basic Statistics and Graphical Methods
- Six Sigma Black Belt: FMEA and Other Nonstatistical Analysis Methods
- Six Sigma Black Belt: Fundamentals of Lean and Six Sigma and their Applications
- Six Sigma Black Belt: Variances and Proportions, ANOVA, and Goodness-of-fit
- Leadership Insights on Influence and Persuasion
- Six Sigma Black Belt: Team Facilitation and Leadership
- Six Sigma Black Belt: Lean Improvement Methods and Implementation Planning
- Six Sigma Black Belt: Measurement Systems and Metrology
- Six Sigma Black Belt: Basics of Hypothesis Testing and Tests for Means
- Six Sigma Black Belt: Designing, Conducting, and Analyzing Experiments
- Six Sigma Black Belt: Understanding DOE and Planning Experiments
- Leadership Insights on Problem Solving & Decision Making
- Leadership Insights on Conflict Management
- Leadership Insights on Developing Women Leaders
- Six Sigma Black Belt: Team Dynamics, Roles, and Success Factors
- Six Sigma Black Belt: Impact on Stakeholders and Benchmarking
- Six Sigma Black Belt: DFSS Methodologies, Design for X, and Robust Designs
- Six Sigma Black Belt: Determining Process Performance and Capability
- Six Sigma Black Belt: Process Flow Metrics and Analysis Tools
- Six Sigma Black Belt: Sustaining Improvements
- Six Sigma Black Belt: Project Selection, Roles, and Responsibilities
- Six Sigma Black Belt: Business Case, Project Charter, and Tools
- Six Sigma Black Belt: Data Types, Sampling, Collection, and Measurement
- Six Sigma Black Belt: Strategic Planning and Deployment
- Six Sigma Black Belt: Team Dynamics and Training
- Six Sigma Black Belt: Using Lean Control Tools and Maintaining Controls
- Six Sigma Black Belt: Multivariate Tools and Nonparametric Tests
- Six Sigma Black Belt: Statistical Process Control (SPC) and Control Charts
- Using Excel 2016 for Windows with Office 365
- Keeping Your Project on Budget (PMBOK® Guide Sixth Edition)
- Develop the Project Schedule (PMBOK® Guide Sixth Edition)
- Validate and Control Scope (PMBOK® Guide Sixth Edition)
- Creating a Project Budget (PMBOK® Guide Sixth Edition)
- Control the Project Schedule (PMBOK® Guide Sixth Edition)
- Plan and Acquire Resources (PMBOK® Guide Sixth Edition)
- Define and Sequence Activities (PMBOK® Guide Sixth Edition)
- Database Fundamentals: Getting Started with SQL
- Introduction to SQL Bootcamp: Session 2 Replay
- Strategically Focused Project Management
- Plan and Define Project Scope (PMBOK® Guide Sixth Edition)
- Project Changes and Closing (PMBOK® Guide Sixth Edition)
- Capturing, Analyzing, and Using Project Lessons Learned
- Create Work Breakdown Structure (PMBOK® Guide Sixth Edition)
- Project Initiation and Planning (PMBOK® Guide Sixth Edition)
- Managing Project Work (PMBOK® Guide Sixth Edition)
- Welcome to the Leadership Development Program
- Planning Quality Management (PMBOK® Guide Sixth Edition)
- Manage and Control Quality (PMBOK® Guide Sixth Edition)
- Quality Methodologies and Standards for Project Management
- Database Fundamentals: Working with SQL Commands
- Database Fundamentals: Database Administration Basics
- Introduction to SQL Bootcamp: Session 1 Replay
- Database Fundamentals: Database Concepts
- Database Fundamentals: Understanding Relational Database Management Systems
- Planning Stakeholder Engagement (PMBOK® Guide Sixth Edition)
- Managing Stakeholder Engagement (PMBOK® Guide Sixth Edition)
- Azure SQL Database
- The Process Groups (PMBOK® Guide Sixth Edition)
- Project Fundamentals (PMBOK® Guide Sixth Edition)
- Creating a Project Schedule and Budget
- Project Management Introduction (PMBOK® Guide Sixth Edition)
- Taking Final Steps to Bring a Project to its Close
- Navigating through Changes and Conflicts in Projects
- Managing a Project to Minimize Risk and Maximize Quality
- New Project Manager Essentials
- Defining a Project Scope and Team
- Data Analytics for Managers
- Analytics by Function
- Shadi Matthew Halabi's Transcript
- Shadi Matthew Halabi's Wallet
- About Accredible