๐ Preparing for a Power BI Interview? Hereโs What You Need to Know!
If you're aiming for a business intelligence or analyst role, Power BI skills are a big plus.
Basics:
โ Understand what Power BI is, how to connect to data sources, and how to create simple visualizations and dashboards.
Intermediate:
โ Learn about data modeling, relationships, and using DAX (Data Analysis Expressions) for calculated columns and measures.
Advanced:
โ Dive into performance optimization, role-level security, advanced DAX functions, and integrating Power BI with tools like Excel or Azure.
๐กฒ Quick Tip: Build a sample dashboard and be ready to explain the decisions behind your visualizations.
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If you're aiming for a business intelligence or analyst role, Power BI skills are a big plus.
Basics:
โ Understand what Power BI is, how to connect to data sources, and how to create simple visualizations and dashboards.
Intermediate:
โ Learn about data modeling, relationships, and using DAX (Data Analysis Expressions) for calculated columns and measures.
Advanced:
โ Dive into performance optimization, role-level security, advanced DAX functions, and integrating Power BI with tools like Excel or Azure.
๐กฒ Quick Tip: Build a sample dashboard and be ready to explain the decisions behind your visualizations.
React โฅ๏ธ For More
โค1
How to Learn Java in 2025
1. Set Clear Goals:
- Define your learning objectives. Do you want to build web applications, mobile apps, or work on enterprise-level software?
2. Choose a Structured Learning Path:
- Follow a structured learning path that covers the fundamentals of Java, object-oriented programming principles, and essential libraries.
3. Start with the Basics:
- Begin with the core concepts of Java, such as variables, data types, operators, and control flow statements.
4. Master Object-Oriented Programming:
- Learn about classes, objects, inheritance, polymorphism, and encapsulation.
5. Explore Java Libraries:
- Familiarize yourself with commonly used Java libraries, such as those for input/output, networking, and data structures.
6. Practice Regularly:
- Write code regularly to reinforce your understanding and identify areas where you need more practice.
7. Leverage Online Resources:
- Utilize online courses, tutorials, and documentation to supplement your learning.
8. Join a Coding Community:
- Engage with online coding communities and forums to ask questions, share knowledge, and collaborate on projects.
9. Build Projects:
- Create simple projects to apply your skills and gain practical experience.
10. Stay Updated with Java Releases:
- Keep up with the latest Java releases and updates to ensure your knowledge remains current.
11. Explore Frameworks and Tools:
- Learn about popular Java frameworks and tools, such as Spring Boot, Maven, and IntelliJ IDEA.
12. Contribute to Open Source Projects:
- Contribute to open source Java projects to gain real-world experience and showcase your skills.
13. Seek Feedback and Mentoring:
- Seek feedback from experienced Java developers and consider mentorship opportunities to accelerate your learning.
14. Prepare for Certifications:
- Consider pursuing Java certifications, such as the Oracle Certified Java Programmer (OCJP), to validate your skills.
15. Network with Java Developers:
- Attend Java meetups, conferences, and online events to connect with other Java developers and learn from their experiences.
1. Set Clear Goals:
- Define your learning objectives. Do you want to build web applications, mobile apps, or work on enterprise-level software?
2. Choose a Structured Learning Path:
- Follow a structured learning path that covers the fundamentals of Java, object-oriented programming principles, and essential libraries.
3. Start with the Basics:
- Begin with the core concepts of Java, such as variables, data types, operators, and control flow statements.
4. Master Object-Oriented Programming:
- Learn about classes, objects, inheritance, polymorphism, and encapsulation.
5. Explore Java Libraries:
- Familiarize yourself with commonly used Java libraries, such as those for input/output, networking, and data structures.
6. Practice Regularly:
- Write code regularly to reinforce your understanding and identify areas where you need more practice.
7. Leverage Online Resources:
- Utilize online courses, tutorials, and documentation to supplement your learning.
8. Join a Coding Community:
- Engage with online coding communities and forums to ask questions, share knowledge, and collaborate on projects.
9. Build Projects:
- Create simple projects to apply your skills and gain practical experience.
10. Stay Updated with Java Releases:
- Keep up with the latest Java releases and updates to ensure your knowledge remains current.
11. Explore Frameworks and Tools:
- Learn about popular Java frameworks and tools, such as Spring Boot, Maven, and IntelliJ IDEA.
12. Contribute to Open Source Projects:
- Contribute to open source Java projects to gain real-world experience and showcase your skills.
13. Seek Feedback and Mentoring:
- Seek feedback from experienced Java developers and consider mentorship opportunities to accelerate your learning.
14. Prepare for Certifications:
- Consider pursuing Java certifications, such as the Oracle Certified Java Programmer (OCJP), to validate your skills.
15. Network with Java Developers:
- Attend Java meetups, conferences, and online events to connect with other Java developers and learn from their experiences.
โค3
Getting started with SQL comparison operators.
If you're new to SQL, understanding comparison operators is one of the first things you'll need to learn.
Theyโre really important for filtering and analyzing your data. Letโs break them down with some simple examples.
Comparison operators let you compare values in SQL queries. Here are the basics:
1. = (Equal To): Checks if two values are the same.
Example: SELECT * FROM Employees WHERE Age = 30; (This will find all employees who are exactly 30 years old).
2. <> or != (Not Equal To): Checks if two values are different.
Example: SELECT * FROM Employees WHERE Age <> 30; (This will find all employees who are not 30 years old).
3. > (Greater Than): Checks if a value is larger.
Example: SELECT * FROM Employees WHERE Salary > 50000; (This will list all employees earning more than 50,000).
4. < (Less Than): Checks if a value is smaller.
Example: SELECT * FROM Employees WHERE Salary < 50000; (This will show all employees earning less than 50,000).
5. >= (Greater Than or Equal To): Checks if a value is larger or equal.
Example: SELECT * FROM Employees WHERE Age >= 25; (This will find all employees who are 25 years old or older).
6. <= (Less Than or Equal To): Checks if a value is smaller or equal.
Example: SELECT * FROM Employees WHERE Age <= 30; (This will find all employees who are 30 years old or younger).
These simple operators can help you get more accurate results in your SQL queries.
Keep practicing and youโll be great at SQL in no time.
Like this post if you need more ๐โค๏ธ
Hope it helps :)
If you're new to SQL, understanding comparison operators is one of the first things you'll need to learn.
Theyโre really important for filtering and analyzing your data. Letโs break them down with some simple examples.
Comparison operators let you compare values in SQL queries. Here are the basics:
1. = (Equal To): Checks if two values are the same.
Example: SELECT * FROM Employees WHERE Age = 30; (This will find all employees who are exactly 30 years old).
2. <> or != (Not Equal To): Checks if two values are different.
Example: SELECT * FROM Employees WHERE Age <> 30; (This will find all employees who are not 30 years old).
3. > (Greater Than): Checks if a value is larger.
Example: SELECT * FROM Employees WHERE Salary > 50000; (This will list all employees earning more than 50,000).
4. < (Less Than): Checks if a value is smaller.
Example: SELECT * FROM Employees WHERE Salary < 50000; (This will show all employees earning less than 50,000).
5. >= (Greater Than or Equal To): Checks if a value is larger or equal.
Example: SELECT * FROM Employees WHERE Age >= 25; (This will find all employees who are 25 years old or older).
6. <= (Less Than or Equal To): Checks if a value is smaller or equal.
Example: SELECT * FROM Employees WHERE Age <= 30; (This will find all employees who are 30 years old or younger).
These simple operators can help you get more accurate results in your SQL queries.
Keep practicing and youโll be great at SQL in no time.
Like this post if you need more ๐โค๏ธ
Hope it helps :)
โค2
What is Docker ?
1 โข Development
Lets say You created an Application
And that's working fine in your machine
2 โข Production
But in Production it doesn't work properly
Developers experince it a lot
3 โข That is when the Developer's famous words are spoken
Client - Your application is not working ๐ก
Developer - It's working on my Machine ๐
4 โข The Reason could be due to:
โข Dependencies
โข Libraries and versions
โข Framework
โข OS Level features
โข Microservices
That the developers machine has but not there in the production environment
5 โข DOCKER
We need a standardized way to package the application with its dependencies and deploy it on any environment.
Docker is a tool designed to make it easier to create, deploy, and run applications by using containers.
So it will always work the same regardless of its environment
6 โข How Does Docker Work?
Docker packages an application and all its dependencies in a virtual container that can run on any Linux server.
7 โข Each container runs as an isolated process in the user space and take up less space than regular VMs due to their layered architecture.
1 โข Development
Lets say You created an Application
And that's working fine in your machine
2 โข Production
But in Production it doesn't work properly
Developers experince it a lot
3 โข That is when the Developer's famous words are spoken
Client - Your application is not working ๐ก
Developer - It's working on my Machine ๐
4 โข The Reason could be due to:
โข Dependencies
โข Libraries and versions
โข Framework
โข OS Level features
โข Microservices
That the developers machine has but not there in the production environment
5 โข DOCKER
We need a standardized way to package the application with its dependencies and deploy it on any environment.
Docker is a tool designed to make it easier to create, deploy, and run applications by using containers.
So it will always work the same regardless of its environment
6 โข How Does Docker Work?
Docker packages an application and all its dependencies in a virtual container that can run on any Linux server.
7 โข Each container runs as an isolated process in the user space and take up less space than regular VMs due to their layered architecture.
โค7
๐ Python Cheatsheet: Master the Foundations & Beyond
Start learning Python โ
โฌ๏ธ Core Python Building Blocks
Basic Commands
โ print() โ Display output
โ input() โ Get user input
โ len() โ Get length of a data structure
โ type() โ Get variable type
โ range() โ Generate a sequence
โ help() โ Get documentation
Data Types
โ int, float, bool, str โ Numbers & text
โ list, tuple, dict, set โ Data collections
Control Structures
โ if / elif / else โ Conditional logic
โ for, while โ Loops
โ break, continue, pass โ Loop control
โฌ๏ธ Advanced Concepts
Functions & Classes
โ def, return, lambda โ Define functions
โ class, init, self โ Object-oriented programming
Modules
โ import, from ... import โ Reuse code
โฌ๏ธ Special Tools
Exception Handling
โ try, except, finally, raise โ Handle errors
File Handling
โ open(), read(), write(), close() โ Manage files
Decorators & Generators
โ @decorator, yield โ Extend or pause functions
List Comprehension
โ [x for x in list if condition] โ Create lists efficiently
Like for more โค๏ธ
Start learning Python โ
โฌ๏ธ Core Python Building Blocks
Basic Commands
โ print() โ Display output
โ input() โ Get user input
โ len() โ Get length of a data structure
โ type() โ Get variable type
โ range() โ Generate a sequence
โ help() โ Get documentation
Data Types
โ int, float, bool, str โ Numbers & text
โ list, tuple, dict, set โ Data collections
Control Structures
โ if / elif / else โ Conditional logic
โ for, while โ Loops
โ break, continue, pass โ Loop control
โฌ๏ธ Advanced Concepts
Functions & Classes
โ def, return, lambda โ Define functions
โ class, init, self โ Object-oriented programming
Modules
โ import, from ... import โ Reuse code
โฌ๏ธ Special Tools
Exception Handling
โ try, except, finally, raise โ Handle errors
File Handling
โ open(), read(), write(), close() โ Manage files
Decorators & Generators
โ @decorator, yield โ Extend or pause functions
List Comprehension
โ [x for x in list if condition] โ Create lists efficiently
Like for more โค๏ธ
โค2
๐ Python Cheatsheet: Master the Foundations & Beyond
Start learning Python โ
โฌ๏ธ Core Python Building Blocks
Basic Commands
โ print() โ Display output
โ input() โ Get user input
โ len() โ Get length of a data structure
โ type() โ Get variable type
โ range() โ Generate a sequence
โ help() โ Get documentation
Data Types
โ int, float, bool, str โ Numbers & text
โ list, tuple, dict, set โ Data collections
Control Structures
โ if / elif / else โ Conditional logic
โ for, while โ Loops
โ break, continue, pass โ Loop control
โฌ๏ธ Advanced Concepts
Functions & Classes
โ def, return, lambda โ Define functions
โ class, init, self โ Object-oriented programming
Modules
โ import, from ... import โ Reuse code
โฌ๏ธ Special Tools
Exception Handling
โ try, except, finally, raise โ Handle errors
File Handling
โ open(), read(), write(), close() โ Manage files
Decorators & Generators
โ @decorator, yield โ Extend or pause functions
List Comprehension
โ [x for x in list if condition] โ Create lists efficiently
Like for more โค๏ธ
Start learning Python โ
โฌ๏ธ Core Python Building Blocks
Basic Commands
โ print() โ Display output
โ input() โ Get user input
โ len() โ Get length of a data structure
โ type() โ Get variable type
โ range() โ Generate a sequence
โ help() โ Get documentation
Data Types
โ int, float, bool, str โ Numbers & text
โ list, tuple, dict, set โ Data collections
Control Structures
โ if / elif / else โ Conditional logic
โ for, while โ Loops
โ break, continue, pass โ Loop control
โฌ๏ธ Advanced Concepts
Functions & Classes
โ def, return, lambda โ Define functions
โ class, init, self โ Object-oriented programming
Modules
โ import, from ... import โ Reuse code
โฌ๏ธ Special Tools
Exception Handling
โ try, except, finally, raise โ Handle errors
File Handling
โ open(), read(), write(), close() โ Manage files
Decorators & Generators
โ @decorator, yield โ Extend or pause functions
List Comprehension
โ [x for x in list if condition] โ Create lists efficiently
Like for more โค๏ธ
โค1
SQL Interview Questions with Answers
1. How to change a table name in SQL?
This is the command to change a table name in SQL:
ALTER TABLE table_name
RENAME TO new_table_name;
We will start off by giving the keywords ALTER TABLE, then we will follow it up by giving the original name of the table, after that, we will give in the keywords RENAME TO and finally, we will give the new table name.
2. How to use LIKE in SQL?
The LIKE operator checks if an attribute value matches a given string pattern. Here is an example of LIKE operator
SELECT * FROM employees WHERE first_name like โStevenโ;
With this command, we will be able to extract all the records where the first name is like โStevenโ.
3. If we drop a table, does it also drop related objects like constraints, indexes, columns, default, views and sorted procedures?
Yes, SQL server drops all related objects, which exists inside a table like constraints, indexes, columns, defaults etc. But dropping a table will not drop views and sorted procedures as they exist outside the table.
4. Explain SQL Constraints.
SQL Constraints are used to specify the rules of data type in a table. They can be specified while creating and altering the table. The following are the constraints in SQL: NOT NULL CHECK DEFAULT UNIQUE PRIMARY KEY FOREIGN KEY
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1. How to change a table name in SQL?
This is the command to change a table name in SQL:
ALTER TABLE table_name
RENAME TO new_table_name;
We will start off by giving the keywords ALTER TABLE, then we will follow it up by giving the original name of the table, after that, we will give in the keywords RENAME TO and finally, we will give the new table name.
2. How to use LIKE in SQL?
The LIKE operator checks if an attribute value matches a given string pattern. Here is an example of LIKE operator
SELECT * FROM employees WHERE first_name like โStevenโ;
With this command, we will be able to extract all the records where the first name is like โStevenโ.
3. If we drop a table, does it also drop related objects like constraints, indexes, columns, default, views and sorted procedures?
Yes, SQL server drops all related objects, which exists inside a table like constraints, indexes, columns, defaults etc. But dropping a table will not drop views and sorted procedures as they exist outside the table.
4. Explain SQL Constraints.
SQL Constraints are used to specify the rules of data type in a table. They can be specified while creating and altering the table. The following are the constraints in SQL: NOT NULL CHECK DEFAULT UNIQUE PRIMARY KEY FOREIGN KEY
React โค๏ธ for more
โค5
Data Science Roadmap: ๐บ
๐ Math & Stats
โโ๐ Python/R
โโโ๐ Data Wrangling
โโโโ๐ Visualization
โโโโโ๐ ML
โโโโโโ๐ DL & NLP
โโโโโโโ๐ Projects
โโโโโโโโ โ Apply For Job
Like if you need detailed explanation step-by-step โค๏ธ
๐ Math & Stats
โโ๐ Python/R
โโโ๐ Data Wrangling
โโโโ๐ Visualization
โโโโโ๐ ML
โโโโโโ๐ DL & NLP
โโโโโโโ๐ Projects
โโโโโโโโ โ Apply For Job
Like if you need detailed explanation step-by-step โค๏ธ
โค1
Learning DSA wasnโt just about acing interviews, --- it was about thinking better, building faster, and debugging smarter.
๐ฏ ๐๐ฒ๐ฟ๐ฒ ๐ฎ๐ฟ๐ฒ ๐๐ต๐ฒ ๐ต ๐ฐ๐ผ๐ฟ๐ฒ ๐ฝ๐ฎ๐๐๐ฒ๐ฟ๐ป๐ ๐๐ต๐ฎ๐ ๐๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ฒ๐ฑ ๐ต๐ผ๐ ๐ ๐๐ผ๐น๐๐ฒ ๐ฝ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ๐:
โข Sliding Windows
โข Two Pointers
โข Stack Based Patterns
โข Dynamic Programing
โข BFS/DFS (Trees & Graphs)
โข Merge Intervals
โข Backtracking & Subsets
โข top-k Elements (Heaps)
โข Greedy Techniques
๐ค๏ธ ๐ ๐ ๐ฃ๐ฎ๐๐ต ๐๐ผ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐ถ๐ป๐ด ๐๐ฆ๐:
โข Started with basic problems on arrays & strings
โข Solved 1-2 problems a day, consistently for 3 months
โข Focused more on patterns than individual questions
โข Made my own notes, revisited problems I struggled with
โข Used visual tools to understand recursion & DP
โข Practiced explaining my solutions out loud (like system design reviews)
โข Applied patterns in real-world projects (DevOps automation, log parsing, infra tools)
๐ก ๐๐ผ๐ผ๐ธ๐ถ๐ป๐ด ๐ฏ๐ฎ๐ฐ๐ธ, ๐ผ๐ป๐ฒ ๐๐ต๐ถ๐ป๐ด ๐ถ๐ ๐ฐ๐น๐ฒ๐ฎ๐ฟ:
> It's not how many problems you solve, it's how well you can recognize the pattern hiding in each one.
You can find more free resources on my WhatsApp channel: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
๐ฏ ๐๐ฒ๐ฟ๐ฒ ๐ฎ๐ฟ๐ฒ ๐๐ต๐ฒ ๐ต ๐ฐ๐ผ๐ฟ๐ฒ ๐ฝ๐ฎ๐๐๐ฒ๐ฟ๐ป๐ ๐๐ต๐ฎ๐ ๐๐ฟ๐ฎ๐ป๐๐ณ๐ผ๐ฟ๐บ๐ฒ๐ฑ ๐ต๐ผ๐ ๐ ๐๐ผ๐น๐๐ฒ ๐ฝ๐ฟ๐ผ๐ฏ๐น๐ฒ๐บ๐:
โข Sliding Windows
โข Two Pointers
โข Stack Based Patterns
โข Dynamic Programing
โข BFS/DFS (Trees & Graphs)
โข Merge Intervals
โข Backtracking & Subsets
โข top-k Elements (Heaps)
โข Greedy Techniques
๐ค๏ธ ๐ ๐ ๐ฃ๐ฎ๐๐ต ๐๐ผ ๐ ๐ฎ๐๐๐ฒ๐ฟ๐ถ๐ป๐ด ๐๐ฆ๐:
โข Started with basic problems on arrays & strings
โข Solved 1-2 problems a day, consistently for 3 months
โข Focused more on patterns than individual questions
โข Made my own notes, revisited problems I struggled with
โข Used visual tools to understand recursion & DP
โข Practiced explaining my solutions out loud (like system design reviews)
โข Applied patterns in real-world projects (DevOps automation, log parsing, infra tools)
๐ก ๐๐ผ๐ผ๐ธ๐ถ๐ป๐ด ๐ฏ๐ฎ๐ฐ๐ธ, ๐ผ๐ป๐ฒ ๐๐ต๐ถ๐ป๐ด ๐ถ๐ ๐ฐ๐น๐ฒ๐ฎ๐ฟ:
> It's not how many problems you solve, it's how well you can recognize the pattern hiding in each one.
You can find more free resources on my WhatsApp channel: https://whatsapp.com/channel/0029VahiFZQ4o7qN54LTzB17
โค2