Big Data Visualization Toolkit (Tableau, Alteryx, QlikSense)

Based on the comprehensive course bundle you've described, here's a breakdown of what you can expect to learn and how you can approach each topic using both Alteryx for data preparation and modeling, Qlik Sense for data visualization and analysis, Power BI for interactive reporting, and Tableau for advanced analytics and visualizations.

Alteryx

1. K-centroid clustering: Learn how to perform k-centroid clustering using the Cluster tool in Alteryx, and understand how to interpret the results of your clustering analysis.
2. Logistic regression: Understand the concepts behind logistic regression and implement it within Alteryx using the Logistic Regression tool.
3. Random forest-based model: Explore ensemble learning methods with random forests through Alteryx's Ensemble tool, which combines multiple decision trees to improve predictive performance.
4. Data preparation: Learn how to clean, prepare, and transform data effectively in Alteryx to ensure high-quality inputs for your analysis.

Qlik Sense

1. Qlik Sense vs. Qlik View: Understand the differences between these two business intelligence platforms.
2. Data loading: Learn how to load data into Qlik Sense and manage data storage within the application.
3. Creating apps: Get hands-on experience with creating, managing, and deploying Qlik Sense applications.
4. Visualizations: Master the creation of various charts, graphs, tables, and pivot tables, and understand how to present data effectively.
5. Storytelling: Learn how to use Qlik Sense's Story Telling tab to narrate your findings and create compelling presentations.
6. Functions: Gain proficiency with numerical, string, and date/time functions within Qlik Sense.
7. Date formatting: Understand how to format dates and times for better data analysis.
8. Data blending: Learn how to combine tables using JOIN, KEEP, and CONCATENATE operations in Qlik Sense.

Power BI

1. Data importing: Master the use of Power Query for importing, transforming, and refining data.
2. Data modeling: Dive into creating robust data models with proper relationships and hierarchies.
3. DAX formulas: Learn advanced DAX formulas including MEASURES, CALCULATE, and LOD expressions.
4. Visualizations: Explore how to use a variety of charts, tables, gauges, and cards for effective data visualization.
5. Reporting: Build compelling reports within Power BI, including the use of slicers and filters for interactivity.
6. Dashboards: Create interactive dashboards with pinned visualizations and design elements for a professional look.
7. Shared workspace: Utilize the Power BI service to create a collaborative environment among team members.

Tableau Desktop Advanced

1. Parameters: Use parameters to add interactivity to your Tableau dashboards.
2. LOD expressions: Learn how to use Level of Detail (LOD) expressions to solve complex data analysis challenges.
3. Groups and sets: Master the use of groups and sets for detailed, aggregated, or unique set calculations.
4. Spatial functions: Explore advanced spatial analytics within Tableau.
5. Advanced filters: Apply more sophisticated filtering techniques to your visualizations.
6. Table calculations: Learn how to perform complex table calculations that go beyond the basics.
7. Actions: Create interactive experiences in Tableau by using actions to link and control multiple objects on a dashboard.
8. Advanced charts: Dive into creating non-standard, yet powerful visualizations like circular, sunburst, and radial charts.
9. Geospatial dashboards: Build dashboards that include geographical data with powerful mapping features.

By completing this course bundle, you'll be well-equipped to handle complex data analysis tasks, create compelling visualizations, and build interactive and insightful reports using some of the most popular business intelligence tools available today. You'll also receive a certificate of completion to validate your expertise in these areas.