Site Map - skillsoft.digitalbadges.skillsoft.com
- User Authentication
- Aishah Al-Harbi's Credentials
- Aishah Al-Harbi's Wallet
- Implementing Governance Strategies
- Implementations with BigQuery for Big Data
- Neural Network & Neuroph Framework
- AWS Associate Solution Architect: AWS Primer
- Training Neural Networks: Implementing the Learning Process
- GCP DevOps: CloudOps with Google Cloud Platform
- Managing Big Data Using HDInsight Hadoop
- Engineering Perspectives
- Analyzing, Querying, & Extracting Big Data
- Advanced Visualizations & Dashboards: Visualization Using R
- Google Cloud: Getting Started
- Building Neural Networks: Artificial Neural Networks Using Frameworks
- Getting Started with Neural Networks: Biological & Artificial Neural Networks
- Building Neural Networks: Development Principles
- Improving Neural Networks: Neural Network Performance Management
- Training Neural Networks: Advanced Learning Algorithms
- Deep Learning with Keras
- K-Nearest Neighbor (k-NN) & Artificial Neural Networks
- TensorFlow: Deep Neural Networks & Image Classification Using Estimators
- Applied Deep Learning: Unsupervised Data
- Big Data Solutions, Architecture, CQL, & DDL
- TensorFlow: Word Embeddings & Recurrent Neural Networks
- Harnessing Data Volume & Velocity: Turning Big Data into Smart Data
- Applied Deep Learning: Generative Adversarial Networks and Q-Learning
- Convolutional and Recurrent Neural Networks
- AI Framework Overview: Development Frameworks
- Finding the Quality in Your Data
- The Marketing Perspective
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Build & Train RNNs: Implementing Recurrent Neural Networks
- Getting Started with Neural Networks: Perceptrons & Neural Network Algorithms
- ML Algorithms: Machine Learning Implementation Using Calculus & Probability
- Big Data Interpretation
- Corporate Leadership Perspective
- Applied Data Analysis
- Importing & Exporting Data using R
- R Data Structures
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Developing a Successful Team
- Strategies for Managing Technical Teams
- Leading through Problem Solving and Decision Making
- The Building Blocks of Building Trust
- ConvNets: Introduction to Convolutional Neural Networks
- Programming with MapReduce
- Cultivating Relationships with Your Peers
- Improving Neural Networks: Data Scaling & Regularization
- Expert Insights on Mindsets
- Forging Ahead with Perseverance and Resilience
- Facing Virtual Team Challenges
- Building the Foundation for an Effective Team
- Expert Insights on Adapting to Change
- Navigating through Changes and Conflicts in Projects
- Using Active Listening in Workplace Situations
- Establishing Effective Virtual Teams
- Being an Effective Team Member
- Unleashing Personal and Team Creativity
- Expert Insights on Collaboration
- Becoming a Successful Collaborator
- Cultivating Cross-functional Team Collaboration
- Encouraging Team Communication and Collaboration
- Effective Team Communication
- Expert Insights on Networking & Building Relationships
- Contributing as a Virtual Team Member
- Clustering & Admin Tools
- Linear Regression Models: Introduction
- Linear Regression Models: Introduction to Logistic Regression
- Clustering & Swarm
- Linear Regression Models: Multiple & Parsimonious
- Metrics, Sales Analysis, & Reporting
- Certified Information Systems Auditor (CISA) 2019: IAM & Data Classification
- TensorFlow: K-means Clustering
- Clustering
- Design Pattern Classification & Architectural Patterns
- Software Data Analysis: Project Management Metrics
- Microsoft Azure Security Technologies: Data Classification
- Visualization Using Kibana
- Project Evaluation: Defining Success Metrics
- CCSP 2019: Implementing Data Discovery & Classification
- ROUTE 2.0: EIGRP Load Balancing & Metrics
- TensorFlow: Simple Regression & Classification Models
- Performance Metrics
- Machine & Deep Learning Algorithms: Introduction
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Machine Learning Implementation
- Machine Learning & Data Analytics
- Math for Data Science & Machine Learning
- Introduction to Machine Learning & Supervised Learning
- Machine Learning with TensorFlow & Cloud ML
- Data Science Statistics: Applied Inferential Statistics
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to Pandas and DataFrames
- Getting Started with Python: Introduction
- R for Data Science: Data Visualization
- Domain-Specific Tools
- Quality & Security of Big Data Operations
- Python Requests: HTTP Requests with Python
- Python Concurrent Programming: Asynchronous Executions in Python
- Socket Programming in Python: Advanced Topics
- Python Concurrent Programming: Multithreading in Python
- Python Classes & Inheritance: Advanced Functionality Using Python Classes
- Functions in Python: Gaining a Deeper Understanding of Python Functions
- Advanced Python Topics: Modules & Virtual Environments
- Python Unit Testing: Testing Python Code Using doctest
- Big Data Essentials
- Managing Big Data Operations
- Securing Big Data Streams
- Python Unit Testing: Advanced Python Testing Using the unittest Framework
- Functions in Python: Working with Advanced Features of Python Functions
- Socket Programming in Python: Introduction
- Data Structures & Algorithms in Python: Implementing Trees & Graphs
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Conditional Statements & Loops: While Loops in Python
- Advanced Python Topics: Migrating from Python 2 to Python 3
- Advanced Python Topics: File Operations in Python
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Data Structures & Algorithms in Python: Trees & Graphs
- Python Classes & Inheritance: Getting Started with Classes in Python
- Data Structures & Algorithms in Python: Implementing Data Structures
- Data Analysis using Spark SQL
- Functions in Python: Introduction
- Excel 2019: Finding & Analyzing Information with Formulas
- Data Gathering
- Data Exploration
- Estimates & Measures
- Data Wrangling
- Data Science Fundamentals
- Data Analysis Concepts
- Data Integration
- Data Analysis
- Data Filtering
- Oracle Database 12c R2 SQL: Using Structured Query Language (SQL)
- Cloud Security
- CCSP 2019: Secure Cloud Computing
- Cloud Risk Management
- Cloud Access Control
- Cloud Presence & Privacy
- Cloud Computing Fundamentals: Considerations
- Moving to the Cloud
- Cloud Computing Fundamentals: Storing & Managing Cloud Data
- Cloud Computing Fundamentals: Cloud Virtualization & Data Centers
- Cloud Computing Fundamentals: Cloud Protocols & Standards
- Delivering Dashboards: Exploration & Analytics
- Cloud Service Models & Benefits and Issues
- Cloud Computing Fundamentals: Migrating to the Cloud
- Data Visualization Essentials
- Data Communication & Visualization
- Storytelling with Data: Introduction
- Advanced SQL Queries
- SQL Transactions
- SQL Developer
- SQL Tables
- Multiple SQL Tables
- SQL Selecting, Ordering, & Filtering
- SQL & Concurrency Concepts
- Relational Database Concepts
- Working with Entity SQL
- Normalization Concepts
- Components, Procedures, & Functions
- Databases, Rules, & Procedures
- SQL Concepts & Queries
- Data Science Tools
- Data Science Overview
- Misk Future Path: Career Readiness
- MISK Fellowship and Traineeship Future Path Program
- Aishah Al-Harbi's Transcript
- Aishah Al-Harbi's Wallet
- About Accredible