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- Data Engineering on Microsoft Azure: Data Partitioning
- Six Sigma Black Belt: Lean and Six Sigma Fundamentals
- Ethical, Privacy, & Intellectual Property Considerations for ChatGPT
- Exploring Prompt Engineering Techniques
- An Introduction to Generative AI
- Data Engineering on Microsoft Azure: Physical Data Storage Structures
- Data Engineering on Microsoft Azure: Databricks
- Data Engineering on Microsoft Azure: Designing Data Storage Structures
- Data Engineering on Microsoft Azure: Storage Accounts
- Data Analysis using Spark SQL
- Apache Spark Getting Started
- Tableau for Data Visualization: Introduction
- 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
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Working with DDL
- Working with SET Operators
- Working with Joins
- Working with Subqueries
- Database Transactions
- Data Manipulation Language
- Data Conversion
- Aggregating Data
- Customizing Output
- Working with Substitution
- SELECT Statement, Expressions, & Operators
- Restricting Output
- SQL*Plus Commands
- SQL Developer
- Relational Database Concepts
- Modern Data Warehouses
- Data Warehouse Essential: Architecture Frameworks & Implementation
- Data Warehouse Essential: Concepts
- AWS Certified Machine Learning: Data Movement
- Azure Data Fundamentals: Provisioning & Configuring Relational Data Services
- Azure Data Fundamentals: Azure Cosmos DB
- Azure Data Fundamentals: Relational Data Management
- Advanced Analytics: Performing Analytics Using Snowflake
- Queries in Snowflake: Search Optimization, External Table Partitions, & Views
- Queries in Snowflake: Getting Started with Performance Optimizations
- Continuous Data: Automating Data Ingestion from Cloud Storage into Snowflake
- Data Sharing in Snowflake: Implementing Secure Data Sharing
- Continuous Data: Ingesting Continuous Data in Snowflake
- Harnessing Data Volume & Velocity: Turning Big Data into Smart Data
- Getting Started with Snowflake: Queries, Dashboards, & Tables
- Getting Started with Snowflake: Using Time Travel & the SnowSQL CLI
- Applied Predictive Modeling
- Data Mining and Decision Making: Modern Data Science Lifecycle
- Data Mining and Decision Making: Data Preparation & Predictive Analytics
- Predictive Modeling: Predictive Analytics & Exploratory Data Analysis
- Process & Applications
- Key Statistical Concepts
- K-Nearest Neighbor (k-NN) & Artificial Neural Networks
- Data Reduction & Exploratory Data Analysis (EDA)
- Data Preprocessing
- Data Mining, Data Distributions, & Hypothesis Testing
- Data Collection & Exploration
- Correlation & Regression
- Data Research Techniques
- Streaming Data Architectures: An Introduction to Streaming Data in Spark
- Planning an Effective Presentation
- Building Your Presentation
- Ensuring Successful Presentation Delivery
- Math for Data Science & Machine Learning
- Data Science Tools
- Data Research Exploration Techniques
- Applied Data Analysis
- The Four Vs of Data
- Automation Design & Robotics
- Data Communication & Visualization
- Clustering, Errors, & Validation
- Machine Learning Introduction
- Estimates & Measures
- Learning from Failure
- Handling Team Conflict
- Self-improvement for Lifelong Success
- Data Analysis Concepts
- Data Exploration
- Data Integration
- Data Filtering
- Data Transformation
- Data Gathering
- Data Science Overview
- Raw Data to Insights: Data Management & Decision Making
- Organizing Your E-mail
- Writing Effective E-mails and Instant Messages
- Streaming Data Architectures: Processing Streaming Data with Spark
- Data Driven Organizations
- Building Data Pipelines
- Azure Data Fundamentals: Relational Data Workloads
- Azure Data Fundamentals: Data Analytics
- Azure Data Fundamentals: Data Workloads
- Azure Data Fundamentals: Modern Data Warehousing
- Operating Hadoop Clusters
- Hadoop in the Cloud
- Hadoop Cluster Architecture
- Fundamentals & Installation
- Data Repository with Sqoop
- Hadoop Design Principles
- Data Repository with HDFS & HBase
- Avoid Procrastination by Getting Organized Instead
- Organize Your Physical and Digital Workspace
- Developing a Personal Accountability Framework
- Becoming an Accountable Professional
- Beat Procrastination by Boosting Your Creativity and Drive
- Data Repository with Flume
- Data Refinery with MapReduce
- Data Refinery with YARN
- Data Flow for the Hadoop Ecosystem
- Conditional Statements & Loops: The Basics of for Loops in Python
- Data Factory with Oozie
- Data Factory with Pig
- Conditional Statements & Loops: If-else Control Structures in Python
- Data Factory with Hue
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Cluster Deployment Planning
- Cluster Deployment Tools & Images
- Cluster Performance Tuning
- Cluster Deployment
- Cluster Availability
- Cluster Architecture Configuration
- Cluster Administration
- Developing Emotional Intelligence
- Expert Insights on Negotiation
- Inserting & Manipulating Data in Excel 2019 for Windows
- Creating & Saving Workbooks in Excel 2019 for Windows
- How Culture Impacts Communication
- Negotiating the Best Solution
- The First Steps in Negotiating
- Psychological Safety: Building a Culture of Inclusion and Innovation
- Expert Insights on Time Management
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Aligning Goals and Priorities To Manage Time
- Getting Started with Python: Introduction
- MongoDB Aggregation
- MongoDB Querying
- Modern Data Management: Data Quality Management
- Azure Fundamentals: Cloud Computing
- Traditional Data Architectures: Data Warehousing and ETL Systems
- Concepts & Conceptual Design
- Databases, Rules, & Procedures
- Use Cases, Opportunities, & Challenges
- The Marketing Perspective
- Teams & Projects
- The Legal Perspective
- Quality & Security of Big Data Operations
- Strategic Planning
- Introduction to Hadoop
- Engineering Perspectives
- Managing Big Data Operations
- Big Data Essentials
- Corporate Leadership Perspective
- Big Data Sales Perspective
- Automation Using Bash & Expect
- Bash Advanced Scripting & File I/O
- Bash Scripting Flow Control & Data Types
- Introduction to Bash Scripting
- Organizing Business Data with Data Modeling
- Turning Social Intelligence into Actionable Insight
- Harnessing the Power of Data Science for Business Growth
- Embedding Data-driven Decisions into Organizational Culture
- Big Data Interpretation
- Big Data Fundamentals
- Evaluating Systems with Data Modeling
- Python - Manipulating & Analyzing Data in Pandas DataFrames
- Expert Insights on Difficult Conversations
- Python - Introduction to Pandas and DataFrames
- Presentation Mastery Series
- Machine & Deep Learning Algorithms: Introduction
- Data Structures & Algorithms in Python: Sorting Algorithms
- PL-300: Creating & Formatting Charts In Power BI
- PL-300: Preparing Data for Visualizations in Power BI
- PL-300: Understanding Data Visualization
- PL-300: Loading & Transforming Data in Power BI
- PL-300: Power BI for Data Analysis
- Getting Started in Excel 2019 for Windows
- Sharpening Your Focus to Stay on Track
- Managing Your Time So It Doesn’t Manage You
- Saving Time by Setting Goals
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