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Introduction to Full Stack Web Development with Python and Django (TTPS4860)
Geared for web developers new to Python, Introduction to Full …
What you'll learn
Develop full-stack web sites based on content stored in an RDMS
Use python data types appropriately
Define data models
Understand the architecture of a Django-based web site
Create Django templates for easy-to-modify views
Map views to URLs
Take advantage of the built-in Admin interface
Provide HTML form processing
Free
Introduction to Angular 18 Essentials (TT4165)
Geared for experienced web developers, Introduction to Angular 18 Essentials …
What you'll learn
<b>Understand Angular Basics and Architecture:</b> Grasp the fundamentals of Angular's architecture, including component creation and dependency injection, to build foundational web applications.
<b>Get Started with TypeScript and Angular CLI:</b> Learn the essentials of TypeScript and use Angular CLI to set up and manage Angular projects efficiently.
<b>Create Interactive Interfaces with Data Binding and Directives:</b> Develop interactive user interfaces using basic data binding techniques and directives for dynamic content updates.
<b>Implement Simple SPA Navigation:</b> Configure basic Single Page Application (SPA) routing to enable smooth and intuitive navigation within Angular applications.
<b>Build and Validate Basic Reactive Forms:</b> Learn to create and manage basic reactive forms in Angular, ensuring user input is handled effectively and validation is in place.
Free
Introduction to Power BI (TTDPB01)
QuickStart to Power BI for Analysts and Users is a …
What you'll learn
Perform Power BI desktop data transformation.
Describe Power BI desktop modelling.
Create a Power BI desktop visualization.
Implement the Power BI service.
Describe how to connect to Excel data.
Shape and Combine Data
Describe how to collaborate with Power BI data.
Connect directly to data stores.
Time Permitting: Explore the Power BI developer API.
Time Permitting: Describe the Power BI mobile app
Free
Next Level Power BI (TTDPB02)
Next Level Power BI for Experienced Users is a two-day …
What you'll learn
Identify and retrieve data from data sources and understand the different connection methods.
Optimize query performance
Profile and examine the data and apply data shape transformations
Develop a scalable and performance data model
Enhance the data model with DAX using measures, calculated columns and tables
Use variables and aggregations to optimize model performance
Design and create reports and dashboards
Select and add appropriate visualizations
Create paginated reports
Perform Advanced Analytics
Create and manage workspaces
Manage datasets and dataset refresh
Apply row-level security
Free
Tableau Server Administration (TTDTAB005)
Tableau Server Administration is a two-day course that provides new …
What you'll learn
User interactions with Tableau Server
Tableau Server components
Single-server installation
Content administration
Authorization and permissions
Users, groups, and sites
Data sources and extracts
Schedules, tasks, and subscriptions
Monitoring server status
Command-line utilities and REST API
Upgrading a single-server installation to a new version
Modifying the authentication method
Free
Tableau Desktop Fundamentals (TTDTAB006)
Tableau Desktop Fundamentals is a two-day, hands-on course designed for …
What you'll learn
Connect to your data, and Edit and save a data source.
Understand Tableau terminology.
Connect to your data, and Edit and save a data source.
Use the Tableau interface / paradigm to effectively create powerful visualizations.
Create basic calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations.
Represent your data using the following visualization types: Cross Tabs, Geographic Maps, Heat Maps, Distribution Charts, Tree Maps, Pie Charts and Bar Charts, Dual Axis and Combo Charts with different mark types, Box Plots, Highlight Tables, Scatter Plots
Use Reference Lines to highlight elements of your data.
Use groups, bins, hierarchies, sorts, sets, and filters to create focused and effective visualizations
Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions.
Handle changes in your data source such as field addition, deletion or name changes.
Share your visualizations with others.
Combine your visualizations into Interactive Dashboards and publish them to the web.
Free
Tableau Desktop (TTDTAB007)
Geared for experienced Tableau, Tableau Desktop II / Intermediate Tableau …
What you'll learn
Use next-level features within the Tableau interface / paradigm to effectively create powerful, advanced level visualizations
Create advanced calculations including string manipulation, basic arithmetic calculations, custom aggregations and ratios, date math, logic statements and quick table calculations
Use groups, bins, hierarchies, sorts, sets, and filters to create focused, effective and advanced -level visualizations
Use Measure Name and Measure Value fields to create visualizations with multiple measures and dimensions
Share visualizations with others, combining visualizations into Interactive Dashboards and publish them to the web
Represent data visualization (emphasizing advanced skill areas only):
Cross tabs; Heat maps; Distribution charts; Tree maps; Pie charts and bar charts; Dual axis and combo charts with different mark types; Box plots; Highlight tables; Scatter plots
Free
Advanced Tableau | Advanced Data Visualization, Calculations, Analytics, Integration with Hadoop (TTDTAB025)
Geared for experienced Tableau users with data analysis background and …
What you'll learn
Why Data Visualization is Needed?
Connecting to the databases and make basic charts and graphs.
How to make Advance Charts and Graphs.
Scripting functionality and organizing data for effective results
More advanced visualizations for various analytical requirements
Creating Time based calculations.
Using location analytics capabilities to put geographic and other spatial context to your analysis.
Blending and arranging data from multiple source systems for effective analysis.
How to Integrate Tableau with R and Hadoop, Statistical Analytics, and social media analytics.
Working in real time environment for Tableau Projects leveraging the course mini project.
The requirement and creating various dashboards, story boards, deploying your dashboards for the project.
