Data Logic With Shivam

This channel helps in interview preparation and teaches people about Azure, SQL Server, and the Microsoft Power BI application.

For Any enquiries: [email protected]

Top 5 Power BI Features Every Beginner Should Know | Power BI Tutorial 2025
Top 5 Power BI Features Every Beginner Should Know | Power BI Tutorial 2025
Master Power BI Time Intelligence: SAMEPERIODLASTYEAR, PREVIOUSMONTH & Rolling Averages Tutorial
Master Power BI Time Intelligence: SAMEPERIODLASTYEAR, PREVIOUSMONTH & Rolling Averages Tutorial
Power BI DAX Tutorial: Handle Duplicate Data Without Deleting Rows
Power BI DAX Tutorial: Handle Duplicate Data Without Deleting Rows
Power BI DAX Tutorial: Master RANKX to Rank Sales by Revenue
Power BI DAX Tutorial: Master RANKX to Rank Sales by Revenue
Master the New Text Slicer in Power BI | Advanced Customization Tips & Tricks
Master the New Text Slicer in Power BI | Advanced Customization Tips & Tricks
Power BI Interview Question @ServiceNow: Dynamic Date Table (3/5 Years, No Hardcoding)
Power BI Interview Question @ServiceNow: Dynamic Date Table (3/5 Years, No Hardcoding)
Power BI List Slicer – New and Improved!
Power BI List Slicer – New and Improved!
Power BI Desktop's New Dark Mode is Here! 🔥 Customize Your Dashboard Experience
Power BI Desktop's New Dark Mode is Here! 🔥 Customize Your Dashboard Experience
Accenture Power BI Interview Question | Compare Current 47 Days vs Last Year Quarter 47 days Sales
Accenture Power BI Interview Question | Compare Current 47 Days vs Last Year Quarter 47 days Sales
HCL Power BI Interview Questions | DAX | Power BI
HCL Power BI Interview Questions | DAX | Power BI
How to ace Morgan Stanley SQL interview For Power BI Developer Role | SQL | Power BI
How to ace Morgan Stanley SQL interview For Power BI Developer Role | SQL | Power BI
EPAM Systems - Power BI Interview Questions | DAX | Power BI
EPAM Systems - Power BI Interview Questions | DAX | Power BI
MarshMclennan - Power BI Interview Questions | DAX
MarshMclennan - Power BI Interview Questions | DAX
Level Up Your Data Analysis with USERELATIONSHIP DAX in Power BI | Hindi Tutorial
Level Up Your Data Analysis with USERELATIONSHIP DAX in Power BI | Hindi Tutorial
Mastering Crossfilter DAX Function in Power BI | Hindi Tutorial | Boost Your Data Analysis Skills!
Mastering Crossfilter DAX Function in Power BI | Hindi Tutorial | Boost Your Data Analysis Skills!
Supercharge Your Data Modeling with RELATED and RELATEDTABLE Functions | Hindi Tutorial
Supercharge Your Data Modeling with RELATED and RELATEDTABLE Functions | Hindi Tutorial
Treatas Function - DAX | Hindi | Treatas DAX function in Hindi
Treatas Function - DAX | Hindi | Treatas DAX function in Hindi
Power BI Interview Question: Leveraging One Dimension to Filter Another Dimension in Power BI
Power BI Interview Question: Leveraging One Dimension to Filter Another Dimension in Power BI
Stop Making This Mistake in PowerBI Total Calculation: Mastering DAX Additive vs NonAdditive Measure
Stop Making This Mistake in PowerBI Total Calculation: Mastering DAX Additive vs NonAdditive Measure
Unleash the Power of Dynamic Visualizations in Power BI - Real-Life Scenario Interview Question!
Unleash the Power of Dynamic Visualizations in Power BI - Real-Life Scenario Interview Question!
Master Power BI Interview Questions: Calculate Percentages in Hierarchies | Power BI Tutorial
Master Power BI Interview Questions: Calculate Percentages in Hierarchies | Power BI Tutorial
Field Parameter Mastery: Power BI Conditional Formatting | Top MNC Interview Questions
Field Parameter Mastery: Power BI Conditional Formatting | Top MNC Interview Questions
Power BI Interview Question: How to Dynamic Switching between Standard and Fiscal Calendar in Visual
Power BI Interview Question: How to Dynamic Switching between Standard and Fiscal Calendar in Visual
Time Intelligence Interview Question: TOTALYTD vs. DATESYTD | Power BI Interview Question
Time Intelligence Interview Question: TOTALYTD vs. DATESYTD | Power BI Interview Question
Day 20: Exporting data from pandas (writing to CSV, and Excel format)
Day 20: Exporting data from pandas (writing to CSV, and Excel format)
Day 19: Handling categorical data (encoding and dummy variables)
Day 19: Handling categorical data (encoding and dummy variables)
Day 18: Time series analysis with pandas
Day 18: Time series analysis with pandas
Day 17: Working with text data in pandas
Day 17: Working with text data in pandas
Day 16: Handling duplicates in data
Day 16: Handling duplicates in data
Day 15: Advanced indexing techniques in pandas
Day 15: Advanced indexing techniques in pandas