Site Map - skillsoft.digitalbadges-eu.skillsoft.com
- User Authentication
- Maryann Cruse's Credentials
- Maryann Cruse's Wallet
- Creating Data APIs Using Node.js
- Machine & Deep Learning Algorithms: Introduction
- Data Science Statistics: Applied Inferential Statistics
- Machine & Deep Learning Algorithms: Regression & Clustering
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Final Exam: Data Scientist
- Data Research Techniques
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Data Research Exploration Techniques
- Data Research Statistical Approaches
- Data Analyst to Data Scientist
- Data Scientist
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- R for Data Science: Data Visualization
- Advanced Visualizations & Dashboards: Visualization Using Python
- Python for Data Science: Basic Data Visualization Using Seaborn
- Data Recommendation Engines
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Advanced Visualizations & Dashboards: Visualization Using R
- Storytelling with Data: Introduction
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Tableau Desktop: Real Time Dashboards
- Storytelling with Data: Tableau & Power BI
- Raw Data to Insights: Data Management & Decision Making
- The Four Vs of Data
- Data Driven Organizations
- Data Ops
- Securing Big Data Streams
- Data Sources: Implementing Edge Data on the Cloud
- Harnessing Data Volume & Velocity: Turning Big Data into Smart Data
- Data Rollbacks: Transaction Rollbacks & Their Impact
- Data Rollbacks: Transaction Management & Rollbacks in NoSQL
- Final Exam: Data Ops
- Building Data Pipelines
- Data Pipeline: Using Frameworks for Advanced Data Management
- Data Pipeline: Process Implementation Using Tableau & AWS
- Data Sources: Integration from the Edge
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Cloud Data Architecture: Cloud Architecture & Containerization
- Data Compliance Issues & Strategies
- Scalable Data Architectures: Using Amazon Redshift
- Data Access & Governance Policies: Data Classification, Encryption, & Monitoring
- Cloud Data Architecture: Data Management & Adoption Frameworks
- Scalable Data Architectures: Getting Started
- Implementing Governance Strategies
- Data Access & Governance Policies: Data Access Governance & IAM
- Streaming Data Architectures: Processing Streaming Data with Spark
- Delivering Dashboards: Exploration & Analytics
- Delivering Dashboards: Management Patterns
- Scalable Data Architectures: Using Amazon Redshift & QuickSight
- Data Science Tools
- Final Exam: Data Wrangler
- Data Wrangler
- Data Analysis Using the Spark DataFrame API
- Data Analysis using Spark SQL
- Data Lake Framework & Design Implementation
- Data Architecture Deep Dive - Design & Implementation
- Data Lake Architectures & Data Management Principles
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Hadoop MapReduce Applications With Combiners
- Advanced Operations Using Hadoop MapReduce
- Technology Landscape & Tools for Data Management
- Machine Learning & Deep Learning Tools in the Cloud
- MongoDB Querying
- MongoDB Aggregation
- Optimizing Query Executions with Hive
- Using Hive to Optimize Query Executions with Partitioning
- Loading & Querying Data with Hive
- Getting Started with Hive
- Viewing & Querying Complex Data with Hive
- Bucketing & Window Functions with Hive
- Data Wrangling with Trifacta
- Filtering Data Using Hadoop MapReduce
- Python Novice to Pythonista
- Final Exam: Python Journeyman
- Introduction to Using PyCharm IDE
- Python Concurrent Programming: Multithreading in Python
- Excel with Python: Working with Excel Spreadsheets from Python
- Python Concurrent Programming: Multiprocessing in Python
- Python Concurrent Programming: Asynchronous Executions in Python
- Socket Programming in Python: Introduction
- Excel with Python: Performing Advanced Operations
- Excel with Python: Constructing Data Visualizations
- Socket Programming in Python: Advanced Topics
- Python Design Patterns: Principles of Good Design
- Python Design Patterns: Working with Creational Design Patterns
- Python Design Patterns: Working with Structural Design Patterns
- Python Design Patterns: Working with Behavioral Design Patterns
- Final Exam: Pythonista
- Pythonista
- Python Journeyman
- Python Concurrent Programming: Introduction to Concurrent Programming
- Flask in Python: User Authentication in a Flask Application
- Flask in Python: User Interactions in Flask Applications
- Python Requests: HTTP Requests with Python
- Flask in Python: An Introduction to Web Frameworks & Flask
- Flask in Python: Building a Simple Web Site Using Flask
- Python Unit Testing: Testing Python Code Using pytest
- Python Unit Testing: Testing Python Code Using doctest
- Python Unit Testing: An Introduction to Python's unittest Framework
- Python Unit Testing: Advanced Python Testing Using the unittest Framework
- Python Apprentice
- Final Exam: Python Apprentice
- Data Structures & Algorithms in Python: Trees & Graphs
- 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: 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
- Final Exam: Python Novice
- 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 Lists & Tuples in Python
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Getting Started with Python: Introduction
- Cleaning Data in R
- Python - Pandas Advanced Features
- Python - Using Pandas for Visualizations and Time-Series Data
- Python - Using Pandas to Work with Series & DataFrames
- Data Analyst
- Final Exam: Data Analyst
- Applied Data Analysis
- Data Lake Sources, Visualizations, & ETL Operations
- Data Silos, Lakes, & Streams Introduction
- Data Lakes on AWS
- Hadoop HDFS File Permissions
- Working with Files in Hadoop HDFS
- Hadoop HDFS Getting Started
- Introduction to the Shell for Hadoop HDFS
- Developing a Basic MapReduce Hadoop Application
- Hadoop & MapReduce Getting Started
- Apache Spark Getting Started
- Inferential Statistics
- Common Approaches to Sampling Data
- Simple Descriptive Statistics
- R Classification & Clustering
- R Regression Methods
- Data Exploration using R
- Importing & Exporting Data using R
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- R Data Structures
- Python - Introduction to Pandas and DataFrames
- Python - Advanced Operations with NumPy Arrays
- Python - Introduction to NumPy for Multi-dimensional Data
- Data Engineering Getting Started
- Data Architecture Getting Started
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- Maryann Cruse's Wallet
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