Excel Functions

Tableau Learning Plan in 2026

|-- Week 1: Introduction to Tableau
| |-- Tableau Basics
| | |-- What is Tableau?
| | |-- Tableau Products Overview (Desktop, Public, Online, Server)
| | |-- Installing Tableau Desktop
| |-- Setting up Tableau Environment
| | |-- Connecting to Data Sources
| | |-- Overview of the Tableau Interface
| | |-- Basic Operations (Open, Save, Close)
| |-- First Tableau Dashboard
| | |-- Creating a Simple Dashboard
| | |-- Basic Charts and Visualizations
| | |-- Adding Filters and Actions
|
|-- Week 2: Data Preparation and Transformation
| |-- Data Connections
| | |-- Connecting to Various Data Sources (Excel, SQL, Web Data)
| | |-- Data Extracts vs. Live Connections
| |-- Data Cleaning and Shaping
| | |-- Data Interpreter
| | |-- Pivot and Unpivot Data
| | |-- Handling Null Values
| |-- Data Blending and Joins
| | |-- Data Blending
| | |-- Joins and Relationships
| | |-- Union Data
|
|-- Week 3: Intermediate Tableau
| |-- Advanced Calculations
| | |-- Calculated Fields
| | |-- Table Calculations
| | |-- Level of Detail (LOD) Expressions
| |-- Advanced Visualizations
| | |-- Dual-Axis Charts
| | |-- Heat Maps and Highlight Tables
| | |-- Custom Geocoding
| |-- Dashboard Interactivity
| | |-- Filters and Parameters
| | |-- Dashboard Actions
| | |-- Using Stories for Narrative
|
|-- Week 4: Data Visualization Best Practices
| |-- Design Principles
| | |-- Choosing the Right Chart Type
| | |-- Color Theory
| | |-- Layout and Formatting
| |-- Advanced Mapping
| | |-- Creating and Customizing Maps
| | |-- Using Map Layers
| | |-- Geographic Data Visualization
| |-- Performance Optimization
| | |-- Optimizing Data Sources
| | |-- Reducing Load Times
| | |-- Extracts and Aggregations
|
|-- Week 5: Tableau for Business Intelligence
| |-- Business Dashboards
| | |-- KPI Dashboards
| | |-- Sales and Revenue Dashboards
| | |-- Financial Dashboards
| |-- Storytelling with Data
| | |-- Creating Data Stories
| | |-- Using Annotations
| | |-- Interactive Dashboards
| |-- Sharing and Collaboration
| | |-- Publishing to Tableau Server/Public
| | |-- Tableau Online Collaboration
| | |-- Embedding Dashboards in Websites
|
|-- Week 6-8: Advanced Tableau Techniques
| |-- Tableau Prep
| | |-- Data Preparation Workflows
| | |-- Cleaning and Shaping Data with Tableau Prep
| | |-- Combining Data from Multiple Sources
| |-- Tableau and Scripting
| | |-- Using R and Python in Tableau
| | |-- Advanced Analytics with Scripting
| |-- Advanced Analytics
| | |-- Forecasting
| | |-- Clustering
| | |-- Trend Lines
| |-- Tableau Extensions
| | |-- Installing and Using Extensions
| | |-- Popular Extensions Overview
|
|-- Week 9-11: Real-world Applications and Projects
| |-- Capstone Project
| | |-- Project Planning
| | |-- Data Collection and Preparation
| | |-- Building and Optimizing Dashboards
| | |-- Creating and Publishing Reports
| |-- Case Studies
| | |-- Business Use Cases
| | |-- Industry-specific Solutions
| |-- Integration with Other Tools
| | |-- Tableau and SQL
| | |-- Tableau and Excel
| | |-- Tableau and Power BI
|
|-- Week 12: Post-Project Learning
| |-- Tableau Administration
| | |-- Managing Tableau Server
| | |-- User Roles and Permissions
| | |-- Monitoring and Auditing
| |-- Advanced Tableau Topics
| | |-- New Tableau Features

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How to Choose Charts for Your Data

Top 15 advanced Power BI interview questions

1. Explain the concept of row-level security in Power BI and how to implement it.

2. What are calculated tables in Power BI, and when would you use them?

3. Describe the differences between DirectQuery, Live Connection, and Import Data storage modes in Power BI.

4. How can you optimize the performance of a Power BI report or dashboard with large datasets?

5. What is the DAX language, and how is it used in Power BI? Provide an example of a complex DAX calculation.

6. Explain the role of Power Query in data transformation within Power BI. What are some common data cleansing techniques in Power Query?

7. What is the purpose of the Power BI Data Model, and how do relationships between tables impact report development?

8. How can you create custom visuals or extensions in Power BI? Provide an example of when you would use custom visuals.

9. Describe the steps involved in setting up Power BI Gateway and its significance in a corporate environment.

10. What are the differences between Power BI Desktop, Power BI Service, and Power BI Mobile? How do they work together in a typical Power BI workflow?

11. Discuss the process of incremental data refresh in Power BI and its benefits.

12. How can you implement dynamic security roles in Power BI, and why might you need them in a multi-user environment?

13. What are Power BI paginated reports, and when would you choose to use them over standard interactive reports?

14. Explain the concept of drill-through in Power BI, including its configuration and use cases.

15. How can you integrate Power BI with other Microsoft products, such as Azure Data Lake Storage or SharePoint?

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Data Visualization Overview

There is something rewarding about grappling with yourself to attain what you are striving for.

✅𝟓-𝐒𝐭𝐞𝐩 𝐑𝐨𝐚𝐝𝐦𝐚𝐩 𝐭𝐨 𝐒𝐰𝐢𝐭𝐜𝐡 𝐢𝐧𝐭𝐨 𝐭𝐡𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐅𝐢𝐞𝐥𝐝✅

💁‍♀️𝐁𝐮𝐢𝐥𝐝 𝐊𝐞𝐲 𝐒𝐤𝐢𝐥𝐥𝐬: Focus on core skills—Excel, SQL, Power BI, and Python.

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Data Analyst

Make the walk your “mental commit”

Move, relax, and regenerate your energy.
Let the screen fade and your thoughts settle.
Each step helps you close the code loops in your head.
You’re not just walking, you’re syncing body and mind for tomorrow’s push.

🔆 t.me/techpsyche