Walk-In Drives At Top Companies 2024
Companies Hiring :- TCS ,Wipro,Genpact ,Infosys & Atos Syntel
Salary Range:- Rs.25k To Rs.50k/Month
Walk-In Location :- Virtual/Across India
For More Details & Apply Link ๐:-
https://bit.ly/3JU1LLn
Apply before the link expires
Companies Hiring :- TCS ,Wipro,Genpact ,Infosys & Atos Syntel
Salary Range:- Rs.25k To Rs.50k/Month
Walk-In Location :- Virtual/Across India
For More Details & Apply Link ๐:-
https://bit.ly/3JU1LLn
Apply before the link expires
๐4
https://www.instagram.com/reel/C6n-wgrNgiR/?igsh=MnhnaXJvNHY2dDRp
Here are the direct links to the mentioned resources:
Website:
- [w3schools](https://www.w3schools.com/)
- [SoloLearn](https://www.sololearn.com/)
- [freeCodeCamp](https://www.freecodecamp.org/)
- [GreekforGeeks](https://www.greek4greeks.com/)
- [TutorialsPoint](https://www.tutorialspoint.com/)
YouTube Channels:
- [CodeWithHarry](https://www.youtube.com/channel/UCeVMnSShP_Iviwkknt83cww)
- [freeCodeCamp.org](https://www.youtube.com/c/Freecodecamp)
- [Apna College](https://www.youtube.com/channel/UCBWMYyc1eaMb1Vw1Ck1FDpA)
- [Traversy Media](https://www.youtube.com/user/TechGuyWeb)
Coding Practice:
- [Frontend Mentor](https://www.frontendmentor.io/)
- [freefrontend](https://freefrontend.com/)
- [HackerEarth](https://www.hackerearth.com/)
- [Coderbyte](https://coderbyte.com/)
Apps:
- [SoloLearn](https://www.sololearn.com/)
- [Programming Hub](https://play.google.com/store/apps/details?id=com.freeit.java)
- [Mimo](https://play.google.com/store/apps/details?id=com.getmimo)
- [Grasshopper](https://play.google.com/store/apps/details?id=com.area120.grasshopper)
Here are the direct links to the mentioned resources:
Website:
- [w3schools](https://www.w3schools.com/)
- [SoloLearn](https://www.sololearn.com/)
- [freeCodeCamp](https://www.freecodecamp.org/)
- [GreekforGeeks](https://www.greek4greeks.com/)
- [TutorialsPoint](https://www.tutorialspoint.com/)
YouTube Channels:
- [CodeWithHarry](https://www.youtube.com/channel/UCeVMnSShP_Iviwkknt83cww)
- [freeCodeCamp.org](https://www.youtube.com/c/Freecodecamp)
- [Apna College](https://www.youtube.com/channel/UCBWMYyc1eaMb1Vw1Ck1FDpA)
- [Traversy Media](https://www.youtube.com/user/TechGuyWeb)
Coding Practice:
- [Frontend Mentor](https://www.frontendmentor.io/)
- [freefrontend](https://freefrontend.com/)
- [HackerEarth](https://www.hackerearth.com/)
- [Coderbyte](https://coderbyte.com/)
Apps:
- [SoloLearn](https://www.sololearn.com/)
- [Programming Hub](https://play.google.com/store/apps/details?id=com.freeit.java)
- [Mimo](https://play.google.com/store/apps/details?id=com.getmimo)
- [Grasshopper](https://play.google.com/store/apps/details?id=com.area120.grasshopper)
๐7๐ฅ1
Work From Home Job Opportunities 2024
Salary Package:- 4 LPA To 18 LPA
Experience:- 0 to 4 Years
Qualification:- Graduate
Apply Link ๐:-
https://bit.ly/3y8CCu0
Apply before the link expires
Salary Package:- 4 LPA To 18 LPA
Experience:- 0 to 4 Years
Qualification:- Graduate
Apply Link ๐:-
https://bit.ly/3y8CCu0
Apply before the link expires
๐4
Commonly Asked HR Interview Questions ๐
https://www.instagram.com/p/C6qEIr5y6PK/?igsh=MWx6cmU1bG4zbGkydg==
https://www.instagram.com/p/C6qEIr5y6PK/?igsh=MWx6cmU1bG4zbGkydg==
๐๐ซ๐๐๐ญ ๐๐ฉ๐ฉ๐จ๐ซ๐ญ๐ฎ๐ง๐ข๐ญ๐ฒ ๐๐จ ๐๐๐๐ซ๐ง ๐๐จ๐๐ข๐ง๐ ๐
๐ซ๐จ๐ฆ ๐๐๐ซ๐๐ญ๐๐ก
Get placed in Top MNCs with our Pay After Placement Training.
Highlights:-
๐ Trusted by 6000+ Students
๐ค 450+ Hiring Partners
๐ผ Avg. Rs. 7.2 LPA
๐ 41 LPA Highest Package
Eligibility: BTech / BCA / BSc / MCA / MSc
๐๐๐ ๐ข๐ฌ๐ญ๐๐ซ ๐๐จ๐ฐ๐ :-
https://bit.ly/3SuNQRe
Hurry, limited seats available!
Get placed in Top MNCs with our Pay After Placement Training.
Highlights:-
๐ Trusted by 6000+ Students
๐ค 450+ Hiring Partners
๐ผ Avg. Rs. 7.2 LPA
๐ 41 LPA Highest Package
Eligibility: BTech / BCA / BSc / MCA / MSc
๐๐๐ ๐ข๐ฌ๐ญ๐๐ซ ๐๐จ๐ฐ๐ :-
https://bit.ly/3SuNQRe
Hurry, limited seats available!
๐2โค1
๐Top 5 Non- Coding Jobs Along with their Average Salaries in India:
1. Product Manager:
On average, a product manager earns around โน1,669,290 per year. ๐ผ
2. Technical Writer:
The average salary for a technical writer in India in 2024 is โน7,62,476 per year. ๐
3. Data Analyst:
A data analyst typically earns an average salary of โน6,60,000 per year. ๐
4. UI/UX Designer:
The average annual salary for a UX designer is around INR 5.5 LPA, ranging from INR 2.1 LPA to INR 10 LPA. ๐จ
5. Technical Support Analyst:
In India, the average annual salary for a technical support analyst is approximately โน5.9 Lakhs, with a salary range of โน2.2 Lakhs to โน10.7 Lakhs. ๐ ๏ธ
1. Product Manager:
On average, a product manager earns around โน1,669,290 per year. ๐ผ
2. Technical Writer:
The average salary for a technical writer in India in 2024 is โน7,62,476 per year. ๐
3. Data Analyst:
A data analyst typically earns an average salary of โน6,60,000 per year. ๐
4. UI/UX Designer:
The average annual salary for a UX designer is around INR 5.5 LPA, ranging from INR 2.1 LPA to INR 10 LPA. ๐จ
5. Technical Support Analyst:
In India, the average annual salary for a technical support analyst is approximately โน5.9 Lakhs, with a salary range of โน2.2 Lakhs to โน10.7 Lakhs. ๐ ๏ธ
๐6
Top Companies Hiring Interns 2024
Companies Hiring:- Amazon, Deloitte, Paytm, Airbus & Many More
Stipend :- 20k To 40k/Month
Location:- Work From Home /Pan India
Experience :- Students/Freshers
Apply Link ๐:-
https://bit.ly/3USjGIF
Apply before the link expires
Companies Hiring:- Amazon, Deloitte, Paytm, Airbus & Many More
Stipend :- 20k To 40k/Month
Location:- Work From Home /Pan India
Experience :- Students/Freshers
Apply Link ๐:-
https://bit.ly/3USjGIF
Apply before the link expires
๐7
Popular Python Packages for Data Science
๏ปฟ๏ปฟ๏ปฟ1๏ธโฃNumPy: For numerical operations and working with arrays.
๏ปฟ๏ปฟ๏ปฟ2๏ธโฃPandas: For data
manipulation and analysis, especially with data frames.
3๏ธโฃMatplotlib and Seaborn:
For data visualization.
๏ปฟ๏ปฟ๏ปฟ4๏ธโฃScikit-learn: For machine learning algorithms and tools.
๏ปฟ๏ปฟ๏ปฟ5๏ธโฃTensorFlow and PyTorch:
Deep learning frameworks.
๏ปฟ๏ปฟ๏ปฟ1๏ธโฃNumPy: For numerical operations and working with arrays.
๏ปฟ๏ปฟ๏ปฟ2๏ธโฃPandas: For data
manipulation and analysis, especially with data frames.
3๏ธโฃMatplotlib and Seaborn:
For data visualization.
๏ปฟ๏ปฟ๏ปฟ4๏ธโฃScikit-learn: For machine learning algorithms and tools.
๏ปฟ๏ปฟ๏ปฟ5๏ธโฃTensorFlow and PyTorch:
Deep learning frameworks.
๐3
Work From Home Internships At Paytm
Roles :-
->Business Development
->Content Writing
- >Client servicing
Salary:- Upto 35,000rs/Month
Location:- Work From Home
Apply Link ๐:-
https://bit.ly/3JYCM9O
Apply before the link expires
Roles :-
->Business Development
->Content Writing
- >Client servicing
Salary:- Upto 35,000rs/Month
Location:- Work From Home
Apply Link ๐:-
https://bit.ly/3JYCM9O
Apply before the link expires
๐1
๐๐Explore these essential books to delve into the world of data analytics...
1. "Python for Data Analysis" by Wes McKinney
2. "The Data Warehouse Toolkit" by Ralph Kimball
3. "Data Science for Business" by Foster Provost and Tom Fawcett
4. "Storytelling with Data" by Cole Nussbaumer Knaflic
5. "SQL Performance Explained" by Markus Winand
6. "Data Analytics Made Accessible" by Anil Maheshwari
7. "Data Science from Scratch" by Joel Grus
8. "Big Data: A Revolution That Will Transform How We Live, Work, and Think" by Viktor Mayer-Schรถnberger and Kenneth Cukier
9. "Data Mining: Concepts and Techniques" by Jiawei Han and Micheline Kamber
10. "R for Data Science" by Hadley Wickham and Garrett Grolemund
1. "Python for Data Analysis" by Wes McKinney
2. "The Data Warehouse Toolkit" by Ralph Kimball
3. "Data Science for Business" by Foster Provost and Tom Fawcett
4. "Storytelling with Data" by Cole Nussbaumer Knaflic
5. "SQL Performance Explained" by Markus Winand
6. "Data Analytics Made Accessible" by Anil Maheshwari
7. "Data Science from Scratch" by Joel Grus
8. "Big Data: A Revolution That Will Transform How We Live, Work, and Think" by Viktor Mayer-Schรถnberger and Kenneth Cukier
9. "Data Mining: Concepts and Techniques" by Jiawei Han and Micheline Kamber
10. "R for Data Science" by Hadley Wickham and Garrett Grolemund
๐6โค1
Ministry of Panchayati Raj (MoPR) Internship Scheme is an opportunity offered by the Ministry of Panchayati Raj to the students pursuing UG/graduate/postgraduate degree.
โ Benefits:
Interns would be paid a stipend of โน7,000 per month
Period of the internship shall be a minimum of one month and a maximum of three months
After completing the internship, students will be awarded an Experience Certificate
Application Process:
Step 1: Apply online at the official website of MoPR (https://panchayat.gov.in/) under the 'Home Page' tab 'RGSA' sub-tab MoPR Internship'.
Step 2: Register yourself as an applicant. Step 3: Click on Apply for Service or Login.
Step 4: Enter the User Name, password, and Captcha code given and click on Submit.
Step 5: Once logged in, on the left menu, click on Apply for services and then click on View services Click on 'Apply'.
โ Benefits:
Interns would be paid a stipend of โน7,000 per month
Period of the internship shall be a minimum of one month and a maximum of three months
After completing the internship, students will be awarded an Experience Certificate
Application Process:
Step 1: Apply online at the official website of MoPR (https://panchayat.gov.in/) under the 'Home Page' tab 'RGSA' sub-tab MoPR Internship'.
Step 2: Register yourself as an applicant. Step 3: Click on Apply for Service or Login.
Step 4: Enter the User Name, password, and Captcha code given and click on Submit.
Step 5: Once logged in, on the left menu, click on Apply for services and then click on View services Click on 'Apply'.
๐คฃ3โค1๐1
๐๏ธMicrosoft is now providing FREE courses in the following cutting-edge areas:
Artificial Intelligence (AI)
Internet of Things (IoT)
Data Science
Machine Learning
๐ The best part? These courses are designed with a project-based approach, allowing you to learn while actively building and creating!
๐คAl for beginners: A 12-week, 24-lesson curriculum all about Artificial Intelligence.
Check this out: https://t.co/CMlsTfqfqk
๐พ๐ฝ๏ธ IOT: Learn about IOT by doing a project that covers the journey of food from farm to table. This includes farming, logistics, manufacturing, retail, and consumer - all popular industry areas for loT devices.
Check this out: https://t.co/zj4Eiu82ZK
๐Machine Learning: A great course on classical machine learning, using Scikit- learn! Check this out: https://lnkd.in/gjF5ypVY
๐Data Science: This course covers Deep Learning & Data Science in more detail! Check this out: https://t.co/QbivVp8hIC
Donโt miss out on this incredible opportunity to learn from the best. Enroll in these free certification courses and take your skills to the next level!๐
https://www.instagram.com/reel/C601ttUy6_p/?igsh=MW9jdXdiN3M1Z25hOA==
Artificial Intelligence (AI)
Internet of Things (IoT)
Data Science
Machine Learning
๐ The best part? These courses are designed with a project-based approach, allowing you to learn while actively building and creating!
๐คAl for beginners: A 12-week, 24-lesson curriculum all about Artificial Intelligence.
Check this out: https://t.co/CMlsTfqfqk
๐พ๐ฝ๏ธ IOT: Learn about IOT by doing a project that covers the journey of food from farm to table. This includes farming, logistics, manufacturing, retail, and consumer - all popular industry areas for loT devices.
Check this out: https://t.co/zj4Eiu82ZK
๐Machine Learning: A great course on classical machine learning, using Scikit- learn! Check this out: https://lnkd.in/gjF5ypVY
๐Data Science: This course covers Deep Learning & Data Science in more detail! Check this out: https://t.co/QbivVp8hIC
Donโt miss out on this incredible opportunity to learn from the best. Enroll in these free certification courses and take your skills to the next level!๐
https://www.instagram.com/reel/C601ttUy6_p/?igsh=MW9jdXdiN3M1Z25hOA==
microsoft.github.io
AI for Beginners
Description
๐6
Tips for using Data Analysis tools ๐ฅ
๐Understand Your Tools: Take the time to thoroughly understand the features and capabilities of the data analysis tools you're using. This knowledge will empower you to use them more effectively.
๐Data Cleaning is Key: Before diving into analysis, ensure your data is clean and well-organized. Address missing values, outliers, and inconsistencies to ensure accurate results.
๐Document Your Process: Keep detailed documentation of your analysis process, including the steps taken and the reasoning behind them. This makes it easier to revisit and share your work.
๐Utilize Keyboard Shortcuts: Learn and use keyboard shortcuts for your chosen tools to improve efficiency. This can save a significant amount of time in the long run.
๐Explore Visualization Options: Experiment with various visualization techniques to represent your data. Visualizations often make complex patterns easier to understand and communicate.
๐Master the Art of Querying: If you're using SQL or similar query languages, practice and become proficient in writing efficient and effective queries. This skill is fundamental for extracting valuable insights from databases.
๐Stay Organized: Keep your files, code, and datasets organized. Establish a clear folder structure and naming conventions to make it easy to locate and understand your work.
๐Validate Results: Double-check your results using different methods or tools. Verifying your findings helps ensure the accuracy and reliability of your analysis.
๐Collaborate and Seek Feedback: If you're working in a team, collaborate with others and seek feedback on your analysis. This can lead to valuable insights and improvements.
๐Continuous Learning: Data analysis tools are continually evolving. Stay curious and invest time in staying updated with the latest features, tools, and best practices in data analysis.
๐๐Applying these tips can enhance your efficiency and the quality of your data analysis work.
๐Understand Your Tools: Take the time to thoroughly understand the features and capabilities of the data analysis tools you're using. This knowledge will empower you to use them more effectively.
๐Data Cleaning is Key: Before diving into analysis, ensure your data is clean and well-organized. Address missing values, outliers, and inconsistencies to ensure accurate results.
๐Document Your Process: Keep detailed documentation of your analysis process, including the steps taken and the reasoning behind them. This makes it easier to revisit and share your work.
๐Utilize Keyboard Shortcuts: Learn and use keyboard shortcuts for your chosen tools to improve efficiency. This can save a significant amount of time in the long run.
๐Explore Visualization Options: Experiment with various visualization techniques to represent your data. Visualizations often make complex patterns easier to understand and communicate.
๐Master the Art of Querying: If you're using SQL or similar query languages, practice and become proficient in writing efficient and effective queries. This skill is fundamental for extracting valuable insights from databases.
๐Stay Organized: Keep your files, code, and datasets organized. Establish a clear folder structure and naming conventions to make it easy to locate and understand your work.
๐Validate Results: Double-check your results using different methods or tools. Verifying your findings helps ensure the accuracy and reliability of your analysis.
๐Collaborate and Seek Feedback: If you're working in a team, collaborate with others and seek feedback on your analysis. This can lead to valuable insights and improvements.
๐Continuous Learning: Data analysis tools are continually evolving. Stay curious and invest time in staying updated with the latest features, tools, and best practices in data analysis.
๐๐Applying these tips can enhance your efficiency and the quality of your data analysis work.
Data Science Work From Home Internship Program 2024
Company Name :- Sony
Position:- Data Science Intern
Stipend :- Upto 50k/Month
Apply Link๐:-
https://bit.ly/4bhz732
Apply before the link expires
Company Name :- Sony
Position:- Data Science Intern
Stipend :- Upto 50k/Month
Apply Link๐:-
https://bit.ly/4bhz732
Apply before the link expires
๐4
๐๐จ๐ฉ ๐๐๐'๐ฌ ๐๐ข๐ซ๐ข๐ง๐ ๐
๐จ๐ซ ๐๐ฎ๐ฅ๐ญ๐ข๐ฉ๐ฅ๐ ๐๐จ๐ฅ๐๐ฌ ๐๐๐ซ๐จ๐ฌ๐ฌ ๐๐ง๐๐ข๐
Step 1:- ๐Upload Your Resume
https://bit.ly/3xiGdFq
Step 2:- Fill in your professional details like education & work experience (if any)
Step 3 :- Select your skills & preferred job role & location
Apply To The Jobs That Match To Your Profile.
๐๐บ๐ฝ ๐ก๐ผ๐๐ฒ:- Be aware of fake calls. Don't pay any money to recruiters.
Step 1:- ๐Upload Your Resume
https://bit.ly/3xiGdFq
Step 2:- Fill in your professional details like education & work experience (if any)
Step 3 :- Select your skills & preferred job role & location
Apply To The Jobs That Match To Your Profile.
๐๐บ๐ฝ ๐ก๐ผ๐๐ฒ:- Be aware of fake calls. Don't pay any money to recruiters.
๐1
Here is the list of Games learn css , html and javascript with fun.
1. CodeCombat
https://codecombat.com/
2. CSS Diner
https://flukeout.github.io/
3. Flexbox Froggy
https://flexboxfroggy.com/
4. CheckIO and Empire of Code
https://checkio.org/
5. Flexbox Defense
http://www.flexboxdefense.com/
6. Untrusted
https://alexnisnevich.github.io/untrusted/
7. CodeMonkey
https://www.codemonkey.com/
8. CodinGame
https://www.codingame.com/start/
1. CodeCombat
https://codecombat.com/
2. CSS Diner
https://flukeout.github.io/
3. Flexbox Froggy
https://flexboxfroggy.com/
4. CheckIO and Empire of Code
https://checkio.org/
5. Flexbox Defense
http://www.flexboxdefense.com/
6. Untrusted
https://alexnisnevich.github.io/untrusted/
7. CodeMonkey
https://www.codemonkey.com/
8. CodinGame
https://www.codingame.com/start/
CodeCombat
CodeCombat: Learn to Code by Playing a Game
Learn programming with a multiplayer live coding strategy game for beginners. Learn Python or JavaScript as you defeat ogres, solve mazes, and level up. Open source HTML5 game!
๐6๐ฅฐ2
Here's the website that have 10,000+ Tech internships with the government of India and top MNC's.
Link- https://internship.aicte-india.org/
https://www.meity.gov.in/applying-internship
Link- https://internship.aicte-india.org/
https://www.meity.gov.in/applying-internship
internship.aicte-india.org
AICTE Internship Portal - National Internship Portal for Students & Verified Internships India
Explore the All India Council for Technical Education AICTE Internship Portal, the National Internship Portal connecting students with verified companies for internships, PPOs, MSMEs, and skill-based opportunities. The AICTE portal for internship programsโฆ
๐1
HCL Tech Walk-In Drive On 18th May 2024
Role:- Software Engineer/Software Developer
Qualification: Any Graduate
CTC Offered โ 4.5 LPA to 6 LPA
Location: Noida, Chennai
Apply Link ๐:-
https://bit.ly/3wxosSN
Apply before the link expires.
Role:- Software Engineer/Software Developer
Qualification: Any Graduate
CTC Offered โ 4.5 LPA to 6 LPA
Location: Noida, Chennai
Apply Link ๐:-
https://bit.ly/3wxosSN
Apply before the link expires.
๐3๐1
๐ฅ๐These SQL interview questions typically asked in a Data Analyst interview?
1.What distinguishes a Primary key from a Unique key?
Primary key uniquely identifies each record in a table and cannot contain null values, whereas a Unique key also uniquely identifies records but can contain null values and multiple unique keys can exist in a table.
2. Define Candidate key.
Candidate key is a key or set of keys that uniquely identifies each record in a table. It can be a combination of Primary and Alternate keys.
3.Explain the concept of Constraint in SQL.
A Constraint is a specific rule or limit defined in a table to enforce data integrity. Examples include NOT NULL and AUTO INCREMENT.
4. Differentiate between TRUNCATE and DELETE commands.
TRUNCATE is a DDL command that removes all data from a table while preserving the table's structure, and it is faster than DELETE. DELETE is a DML command that removes specific rows based on conditions and operates slower than TRUNCATE as it deletes data row by row.
5.Compare and contrast a 'View' and a 'Stored Procedure'.
A View is a virtual table derived from one or more base tables, often used to simplify complex queries, while a Stored Procedure is a precompiled collection of SQL statements stored on the database server, used to perform specific tasks or operations.
6.What sets apart a Common Table Expression from a temporary table?
A Common Table Expression (CTE) is a temporary result set defined within the execution scope of a single SELECT, DELETE, or UPDATE statement, while a temporary table is stored in TempDB and persists until the session ends.
7.Contrast a clustered index with a non-clustered index.
A clustered index determines the physical ordering of data in a table and there can be only one clustered index per table. In contrast, a non-clustered index is similar to an index in a book where data is stored separately from the index, and multiple non-clustered indexes can exist for a table.
8.Define triggers in SQL and their purpose.
Triggers are SQL codes that automatically execute in response to certain events on a table, such as INSERT, UPDATE, or DELETE operations. They are used to maintain data integrity and perform actions based on specific conditions.
React ๐โค๏ธ to this it helps you in your Data Analyst interview..
1.What distinguishes a Primary key from a Unique key?
Primary key uniquely identifies each record in a table and cannot contain null values, whereas a Unique key also uniquely identifies records but can contain null values and multiple unique keys can exist in a table.
2. Define Candidate key.
Candidate key is a key or set of keys that uniquely identifies each record in a table. It can be a combination of Primary and Alternate keys.
3.Explain the concept of Constraint in SQL.
A Constraint is a specific rule or limit defined in a table to enforce data integrity. Examples include NOT NULL and AUTO INCREMENT.
4. Differentiate between TRUNCATE and DELETE commands.
TRUNCATE is a DDL command that removes all data from a table while preserving the table's structure, and it is faster than DELETE. DELETE is a DML command that removes specific rows based on conditions and operates slower than TRUNCATE as it deletes data row by row.
5.Compare and contrast a 'View' and a 'Stored Procedure'.
A View is a virtual table derived from one or more base tables, often used to simplify complex queries, while a Stored Procedure is a precompiled collection of SQL statements stored on the database server, used to perform specific tasks or operations.
6.What sets apart a Common Table Expression from a temporary table?
A Common Table Expression (CTE) is a temporary result set defined within the execution scope of a single SELECT, DELETE, or UPDATE statement, while a temporary table is stored in TempDB and persists until the session ends.
7.Contrast a clustered index with a non-clustered index.
A clustered index determines the physical ordering of data in a table and there can be only one clustered index per table. In contrast, a non-clustered index is similar to an index in a book where data is stored separately from the index, and multiple non-clustered indexes can exist for a table.
8.Define triggers in SQL and their purpose.
Triggers are SQL codes that automatically execute in response to certain events on a table, such as INSERT, UPDATE, or DELETE operations. They are used to maintain data integrity and perform actions based on specific conditions.
React ๐โค๏ธ to this it helps you in your Data Analyst interview..
๐6โค4