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- User Authentication
- Adriaan Nolte's Credentials
- Adriaan Nolte's Wallet
- CompTIA Data+: Data Governance
- CompTIA Data+: Data Quality & Master Data Management
- CompTIA Data+: Creating Charts & Graphs
- CompTIA Data+: Data Visualization Dashboards
- CompTIA Data+: Data Visualization Reports
- CompTIA Data+: Data Analysis Types & Techniques
- CompTIA Data+: Inferential Statistical Methods
- CompTIA Data+: Descriptive Statistical Methods
- CompTIA Data+: Understanding Data Manipulation
- CompTIA Data+: Data Manipulation Techniques
- CompTIA Data+: Query Optimization
- CompTIA Data+: Data Acquisition & Cleansing
- CompTIA Data+: Data Analytics Tools
- AWS Cloud Practitioner 2023: AWS Compute Services
- AWS Cloud Practitioner 2023: AWS Database Services
- Neurodiversity in the Workplace
- CompTIA Data+: Understanding Data
- CompTIA Data+: Database Concepts
- CompTIA Data+: Understanding Databases
- AWS Cloud Practitioner 2023: Deploying & Operating in the AWS Cloud
- Final Exam: Generative AI Foundations
- AWS Cloud Practitioner 2023: Components & Resources for Security
- AWS Cloud Practitioner 2023: Access Management
- AWS Cloud Practitioner 2023: Overview of Cloud Security
- AWS Cloud Practitioner 2023: Shared Responsibility & Compliance
- AWS Cloud Practitioner 2023: Automation & Managed Services
- AWS Cloud Practitioner 2023: Migration to the AWS Cloud & Cloud Economics
- Advanced Operations Using Hadoop MapReduce
- AWS Cloud Practitioner 2023: Benefits & Design Principles of the AWS Cloud
- Exploring Data Visualization
- Visualizing Data for Impact: Data Storytelling
- Problem Solving: Choosing and Implementing the Right Solution
- Linear Regression Models: Introduction
- Math & Optimizations: Introducing Sets & Set Operations
- Final Exam: Generative AI Introduction and Overview
- Using OpenAI APIs: Fine-tuning Models, the Assistants API, & Embeddings
- Generative AI Introduction and Overview
- Track 1: Generative AI Overview
- Using OpenAI APIs: Using Image & Audio APIs
- Using OpenAI APIs: Accessing OpenAI APIs from Python
- Using OpenAI APIs: Exploring APIs with the OpenAI Playground
- Generative AI Models: Generating Data Using Generative Adversarial Networks
- Generative AI Models: Generating Data Using Variational Autoencoders
- Generative AI Models: Getting Started with Autoencoders
- Business Analyst to Data Analyst
- SQL Programming with MariaDB: Using Joins, Triggers, & Stored Procedures
- Final Exam: Systems Analyst
- Systems Analyst
- SQL Programming with MariaDB: Analyzing Relational Data
- SQL Programming with MariaDB: Getting Started with MariaDB for Data Analysis
- An Introduction to Generative AI
- Case Studies in Prompt Engineering
- Track 1: Prompt Engineering with Generative AI Tools
- Prompt Engineering with Generative AI Tools
- Exploring Prompt Engineering Techniques
- Harnessing AI for Marketing Success
- Leveraging AI in Human Resources
- AI Change Management: Understanding Drivers and Impact
- Smart AI in Product Management
- AI-enhanced Sales Strategies
- Maximizing Customer Service with AI
- Responsible Use of AI
- Exploring the OpenAI Playground
- AI in the Workplace
- Fundamentals of AI & ML: Metrics & Evaluation
- Fundamentals of AI & ML: Introduction to Artificial Intelligence
- Fundamentals of AI & ML: Advanced Data Science Methods
- Getting Started with Prompt Engineering
- Fundamentals of AI & ML: Foundational Data Science Methods
- Plotly for Data Visualization: Advanced Charts & Features in Chart Studio
- Plotly for Data Visualization: Exploring Chart Studio Visualizations
- Google Chart Tools: Advanced Visuals with Charts
- Plotly for Data Visualization: An Introduction to Plotly Chart Studio
- Google Chart Tools: Interacting with Charts
- Hadoop MapReduce Applications With Combiners
- Generative AI and Its Impact to Everyday Business
- Navigating AI Ethical Challenges and Risks
- Google Chart Tools: Basic Charts
- Common Approaches to Sampling Data
- Filtering Data Using Hadoop MapReduce
- Bucketing & Window Functions with Hive
- MongoDB Aggregation
- Optimizing Query Executions with Hive
- Using Hive to Optimize Query Executions with Partitioning
- Loading & Querying Data with Hive
- Viewing & Querying Complex Data with Hive
- MongoDB Querying
- Data Lake Architectures & Data Management Principles
- Data Architecture Deep Dive - Microservices & Serverless Computing
- Cleaning Data in R
- Getting Started with Hive
- Data Lake Framework & Design Implementation
- Statistical & Hypothesis Tests: Getting Started with Hypothesis Testing
- Creating Data APIs Using Node.js
- Data Science Statistics: Applied Inferential Statistics
- Data Recommendation Engines
- Data Architecture Deep Dive - Design & Implementation
- Data Insights, Anomalies, & Verification: Machine Learning & Visualization Tools
- Data Research Exploration Techniques
- Data Research Statistical Approaches
- Storytelling with Data: Tableau & Power BI
- Raw Data to Insights: Data Management & Decision Making
- R for Data Science: Data Visualization
- Tableau Desktop: Real Time Dashboards
- Data Insights, Anomalies, & Verification: Handling Anomalies
- Advanced Visualizations & Dashboards: Visualization Using R
- Storytelling with Data: Introduction
- Raw Data to Insights: Data Ingestion & Statistical Analysis
- Advanced Visualizations & Dashboards: Visualization Using Python
- Data Research Techniques
- Machine Learning & Deep Learning Tools in the Cloud
- Python - Using Pandas to Work with Series & DataFrames
- Data Wrangling with Trifacta
- Technology Landscape & Tools for Data Management
- Probability Theory: Understanding Joint, Marginal, & Conditional Probability
- Data Driven Organizations
- Data Analyst
- Data Science Statistics: Using Python to Compute & Visualize Statistics
- Machine & Deep Learning Algorithms: Imbalanced Datasets Using Pandas ML
- Machine & Deep Learning Algorithms: Introduction
- Machine & Deep Learning Algorithms: Regression & Clustering
- Machine & Deep Learning Algorithms: Data Preparation in Pandas ML
- Analyzing Data Using Python: Filtering Data in Pandas
- Analyzing Data Using Python: Cleaning & Analyzing Data in Pandas
- Final Exam: Business Analyst to Data Analyst
- Analyzing Data Using Python: Data Analytics Using Pandas
- Analyzing Data Using Python: Importing, Exporting, & Analyzing Data With Pandas
- Using BigML: Unsupervised Learning
- Using BigML: Getting Hands-on with BigML
- VBA: Leveraging VBA to Work with Charts, Stocks, & MS Access
- Using BigML: An Introduction to Machine Learning & BigML
- Using BigML: Building Supervised Learning Models
- VBA: Building User Interfaces with Forms in VBA & Excel
- VBA: Getting Started with VBA in Excel
- Data Science Tools
- The Four Vs of Data
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Streaming Data Architectures: Processing Streaming Data with Spark
- Data Communication & Visualization
- Clustering, Errors, & Validation
- Estimates & Measures
- Data Transformation
- Data Filtering
- Data Integration
- Data Gathering
- Core Statistical Concepts: Statistics & Sampling with Python
- Probability Theory: Getting Started with Probability
- Core Statistical Concepts: An Overview of Statistics & Sampling
- Python - Pandas Advanced Features
- Python - Using Pandas for Visualizations and Time-Series Data
- Python for Data Science: Advanced Data Visualization Using Seaborn
- Python for Data Science: Basic Data Visualization Using Seaborn
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Python - Introduction to Pandas and DataFrames
- Business Reporting: Leveraging Treemaps, Matrices, & Slicers in Power BI
- Python - Advanced Operations with NumPy Arrays
- Final Exam: Decision Analyst
- Decision Analyst
- Business Reporting: Creating & Formatting Matrix Visualizations in Power BI
- Business Reporting: Visualizing & Merging Data in Power BI
- Business Reporting: Getting Started with Power BI Desktop for Data Analysis
- Tableau for Data Visualization: Advanced Features
- Business Analyst
- Tableau for Data Visualization: Introduction
- Tableau for Data Visualization: Exploring Visualizations & Data Formats
- Final Exam: Business Analyst
- Complete Guide to Excel 365: What-If Analysis, Solver, & Analysis ToolPak
- Complete Guide to Excel 365: Pivot, PowerPivot, & Financial Modeling
- Complete Guide to Excel 365: Validating, Cleaning, & Performing Lookups on Data
- Complete Guide to Excel 365: Working With Charts & Sparklines
- Complete Guide to Excel 365: Getting Started
- Complete Guide to Excel 365: Using Formatting, Styles, & Themes
- Complete Guide to Excel 365: Linking, Printing, & Protecting Workbooks
- Conditional Statements & Loops: The Basics of for Loops in Python
- Getting Started with Python: Introduction
- Python - Introduction to NumPy for Multi-dimensional Data
- Organizational IT Trends, Analytics, and Application Development
- Spark for High-speed Big Data Analytics
- Techniques for Big Data Analytics
- Big Data Concepts: Getting to Know Big Data
- Big Data Concepts: Big Data Essentials
- Adriaan Nolte's Transcript
- Adriaan Nolte's Wallet
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