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- Creating your first cloud flows in Microsoft Power Automate 2025
- Managing cloud flows in Microsoft Power Automate 2025
- PL-300: Applying the DAX Formula Language in Power BI
- PL-300: Extracting Insights from Data Using Power BI
- PL-300: Working with Filters in Power BI
- PL-300: Advanced Modeling Technique in Power BI
- PL-300: Analysis & Sharing Features in Power BI
- PL-300: Using Time Intelligence in Power BI
- PL-300: Sharing Power BI Reports & Workspaces
- PL-300: Applying Power BI's Advanced Analysis Features
- PL-300: Using the Power BI Service
- PL-300: Matrix & Treemap Controls in Power BI
- PL-300: Leveraging Power BI with Ribbon, Line, Column, & Pie Charts
- PL-300: Maps, Waterfall Charts, & Scatter Plots in Power BI
- PL-300: Creating & Formatting Charts In Power BI
- PL-300: Understanding Data Visualization
- PL-300: Preparing Data for Visualizations in Power BI
- PL-300: An Overview of Data Modeling in Power BI
- PL-300: Loading & Transforming Data in Power BI
- PL-300: Power BI for Data Analysis
- Scrum Foundation: Scrum Basics
- Product Management: An Overview
- Track 5: Resource Optimization with Python
- Pythonista to Python Master
- Final Exam: Resource Optimization with Python
- Faust: Stream Processing Using Windowing Operations
- Faust: Performing Operations & Maintaining State Using Tables
- Faust: Stream Processing Using Models, Agents, & Channels
- Faust: Getting Started with Stream Processing
- OpenCV: Manipulating Images
- OpenCV: Advanced Image Operations
- OpenCV: Introduction
- Track 4: Building Restful Web Services with Python
- Final Exam: Building Restful Web Services with Python
- Web Applications with Django: Developing REST APIs
- Web Applications with Django: Building Multiple Apps in a Project
- Web Applications with Django: Models and Class-based Views
- Web Applications with Django: Working with Models
- Web Applications with Django: Using Built-in and Custom Applications
- Web Applications with Django: Introducing the Django Web Framework
- Molten Framework: Advanced Features
- Molten Framework: Building HTTP APIs
- Flask-RESTful: Integrating the API Server with a MySQL Database
- Flask-RESTful: Parsing & Validating Input Requests
- Track 3: Dynamic Data Handling with Python
- Final Exam: Dynamic Data Handling with Python
- Flask-RESTful: Getting Started with Flask-RESTful to Build APIs
- HTTP Requests with HTTPX: Advanced Topics
- HTTP Requests with HTTPX: Introduction
- Operations with petl: Advanced Extractions & Transformations
- Operations with petl: Basic Data Transformations
- Operations with petl: Introduction
- SQL Databases Using SQLAlchemy: Using the SQLAlchemy ORM
- SQL Databases Using SQLAlchemy: Using Triggers, Stored Procedures, & Transactions
- SQL Databases Using SQLAlchemy: Chaining Joins, Views, & Indexes
- SQL Databases Using SQLAlchemy: Querying Data
- SQL Databases Using SQLAlchemy: Manipulating Data
- Track 2: Data Visualization for Web App Using Python
- SQL Databases Using SQLAlchemy: Getting Started
- Final Exam: Data Visualization for Web Apps Using Python
- Dash Python Framework: Creating Widgets in Dash Apps
- Dash Python Framework: Leveraging Dash with User Input & Dash DataTable
- Dash Python Framework: Dash for Interactive Web Apps
- Python with Altair: Working with Specialized Graphs
- Python with Altair: Plotting Fundamental Graphs
- Python Statistical Plots: Time Series Data & Regression Analysis in Seaborn
- Python with Altair: An Introduction to Altair
- Track 1: Python for Developers
- Final Exam: Python for Developers
- Python Statistical Plots: Visualizing & Analyzing Data Using Seaborn
- Python Development: Creating Classes, Handling Errors, & Importing Modules
- Python Development: Leveraging Functions with Lambdas, Generators, Closures, & Decorators
- Python Development: Working with If Statements, Loops, & Comprehensions
- Python Development: Getting Started with Programming in Python
- Python Development: Performing Operations with Complex Data Types
- Python Development: Defining, Configuring, & Invoking Functions
- Complex Data Types in Python: Working with Dictionaries & Sets in Python
- Conditional Statements & Loops: Advanced Operations Using for Loops in Python
- Conditional Statements & Loops: While Loops in Python
- Functions in Python: Introduction
- Complex Data Types in Python: Shallow & Deep Copies in Python
- Conditional Statements & Loops: If-else Control Structures in Python
- Conditional Statements & Loops: The Basics of for Loops in Python
- Getting Started with Python: Introduction
- Complex Data Types in Python: Working with Lists & Tuples in Python
- Deactive_Bot Developer
- Deactive_IQ Bot - Developer
- Lou Solot's Transcript
- Lou Solot's Wallet
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