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DataDrool
Приєднався 15 кві 2014
Hello passionate learners! If you've made it here, you are looking at a channel dedicated for imparting knowledge. I will post videos related to Machine Learning and Data Science in this channel. If you want to learn hands-on ML and start making cool projects, then tune in and subscribe to my channel.
HackerRank SQL Solution: Weather Observation Station 18 | Solved using Common Table Expressions
In this video, I'll guide you through solving the HackerRank SQL problem "Weather Observation Station 18" using Common Table Expressions (CTEs) to make the problem easier to understand and solve. This tutorial is perfect for beginners and those looking to sharpen their SQL skills for coding interviews and data analytics tasks.
In this comprehensive tutorial, we will:
- Break down the problem statement: Understand the requirements and constraints of the "Weather Observation Station 18" SQL question.
- Construct the SQL query: Step-by-step explanation of the SQL query using Common Table Expressions (CTEs) to simplify the solution.
- Optimize the solution: Learn best practices for writing efficient SQL queries.
Why Watch This Video?
- Perfect for SQL Beginners: If you're new to SQL, this tutorial provides a clear and detailed explanation of each step.
- Interview Preparation: Ideal for those preparing for SQL interviews, especially on platforms like HackerRank.
- Data Analytics Skills: Enhance your data analytics capabilities by understanding real-world SQL applications.
📌 Subscribe to Data Drool for more in-depth SQL tutorials, data analytics tips, and comprehensive interview preparation guides. Don't forget to like, comment, and share this video if you find it helpful. Your support helps us create more valuable content for you!
Connect with Me:
Instagram: data.drool
LinkedIn: www.linkedin.com/in/amlanmohanty1/
#sql #hackerrank #hackerranksolutions #sqlquery #interviewpreparation #dataanalytics #codinginterview #learnsql #sqltutorial #datascience #sqlcommands #hackerranksolution
In this comprehensive tutorial, we will:
- Break down the problem statement: Understand the requirements and constraints of the "Weather Observation Station 18" SQL question.
- Construct the SQL query: Step-by-step explanation of the SQL query using Common Table Expressions (CTEs) to simplify the solution.
- Optimize the solution: Learn best practices for writing efficient SQL queries.
Why Watch This Video?
- Perfect for SQL Beginners: If you're new to SQL, this tutorial provides a clear and detailed explanation of each step.
- Interview Preparation: Ideal for those preparing for SQL interviews, especially on platforms like HackerRank.
- Data Analytics Skills: Enhance your data analytics capabilities by understanding real-world SQL applications.
📌 Subscribe to Data Drool for more in-depth SQL tutorials, data analytics tips, and comprehensive interview preparation guides. Don't forget to like, comment, and share this video if you find it helpful. Your support helps us create more valuable content for you!
Connect with Me:
Instagram: data.drool
LinkedIn: www.linkedin.com/in/amlanmohanty1/
#sql #hackerrank #hackerranksolutions #sqlquery #interviewpreparation #dataanalytics #codinginterview #learnsql #sqltutorial #datascience #sqlcommands #hackerranksolution
Переглядів: 55
Відео
How to use mutate function in R Tidyverse (dplyr package) | R Programming Guide | Data Mining in R
Переглядів 3214 днів тому
Unlock the Power of mutate in R Tidyverse: Transform Your Data Like a Pro! Welcome to our channel! In this video, we delve into the powerful mutate function from the Tidyverse package in R. Whether you're a beginner or a seasoned data scientist, mastering mutate is essential for efficient data manipulation. In this video, you’ll learn: - The basics of the mutate function and its importance. - H...
STOP Making This Python Pandas Mistake in Data Science Interviews
Переглядів 503 місяці тому
Looking to ace your Data Science interviews? In this video, we tackle a classic coding question that tests your pandas skills and data manipulation prowess. Whether you're a fresher or looking to brush up on your skills, this challenge will help you get ready for real-world interviews! 💡 Why watch? Similar questions are commonly asked in Data Science interviews to test your ability to work with...
How to use arrange function in R : Sort Data | R Tidyverse (dplyr package) | R Programming Tutorial
Переглядів 393 місяці тому
Learn how to use the arrange() function in R Tidyverse (dplyr package) for sorting data in R. This tutorial is perfect for beginners and covers sorting in ascending and descending order, as well as by multiple columns. 📋 What You'll Learn: -Using the arrange() function to sort data in ascending and descending order -Sorting data by multiple columns for advanced data manipulation -Understanding ...
How to use Pipe Operator in R | Tidyverse (dplyr package) | R Programming Guide | Data Mining in R
Переглядів 993 місяці тому
Want to make your R code cleaner and more efficient? Discover the magic of the pipe operator in Tidyverse! In this quick tutorial, I'll show you how to chain multiple commands together effortlessly, turning your data analysis into a smooth, readable pipeline. Perfect for beginners, this video will help you understand how to use to filter, select, and arrange your data with ease. What you’ll lea...
LinkedIn Profile Optimization: How to Get Noticed by Recruiters | Stand Out in Job Search
Переглядів 394 місяці тому
Want to stand out on LinkedIn and attract more job offers and professional connections? In this video, I’ll walk you through a complete guide to optimizing your LinkedIn profile. From perfecting your profile picture and crafting a compelling headline to highlighting your experience, skills, education, and key projects, I cover it all. Whether you're a job seeker, a student, or a professional lo...
How to use filter() function in R Tidyverse (dplyr package) | R Programming Guide | Data Mining in R
Переглядів 844 місяці тому
Ready to take your data manipulation skills to the next level? In this quick and easy tutorial, we’ll show you how to harness the power of the filter() function in Tidyverse to extract exactly the data you need in R. Perfect for beginners and pros alike! What you’ll learn: - How to use filter() to select rows based on specific conditions - Filtering with multiple conditions - Advanced filtering...
How to use select() function in Tidyverse (dplyr package) : R Programming Guide | Data Mining in R
Переглядів 764 місяці тому
Want to supercharge your data manipulation skills in R? In this video, we dive deep into the powerful select() function from the Tidyverse package, a must-know tool for anyone working with data in R. What you’ll learn: - How to use the select() function to choose specific columns in your dataset. - Advanced techniques to select columns based on patterns like starts_with(). - How to easily exclu...
How to Install Tidyverse in R: Step-by-Step Guide for Beginners | Data Mining in R
Переглядів 544 місяці тому
How to Install Tidyverse in R: Step-by-Step Guide for Beginners | Data Mining in R
Face Recognition Attendance System in Python with Flask Web App & Power BI Dashboard
Переглядів 7596 місяців тому
Face Recognition Attendance System in Python with Flask Web App & Power BI Dashboard
Unpacking the Hype Around Sparks Foundation GRIP Data Science and Business Analytics Internship
Переглядів 1523 роки тому
Unpacking the Hype Around Sparks Foundation GRIP Data Science and Business Analytics Internship
sir its not working pls guide me i have ran the code on vs code them the wwbsite opens takes the name and enroll number then it shows csv2 error but i have it completly installed in proper way
I think you mean cv2 error, which is basically your camera not capturing video feed. Please check your webcam settings and make sure it's working and has the necessary permissions to access video frame.
Sir Face recognition attendance system full tutorial sir
Hopefully, I’ll make a video on it soon!
Full tutorial video upload sir
@@YOGA-r5p Okay, I’ll make a video on it soon.
@@datadrool I make mini project it's very use please upload soon
@@YOGA-r5p you can check out the whole project on my GitHub. Here’s the repo link: github.com/amlanmohanty1/face-recognition-attendance-management-system-with-PowerBI-dashboard
@@datadrool I will check sir but some errors occurred I solved again and again I can't
@@YOGA-r5p make sure you have all the packages installed. If it’s still not working, try to create the project from scratch and check my code for reference.
Sir Can you teach how to build
ok sir
Hey bro. How do one join it? Visited the website but don't know where to start.
I didn't get your question. Could you be more specific?
Upload your code along with youtube link on your github profile
I already have. Please take a look again.😊
Good work