Temotec Data Science, ML & Data Engineering: Interview Notes - Projects - Courses.’s Post

📢 Hello LinkedIn community! 🌟💼 🌟 Day 37/50 Days of SQL Challenge: SQL Bootcamp 2024: Master SQL & PostgreSQL - Hands-On Course https://lnkd.in/gaHnijmg SQL Course 2024: SQL for Data Analysis and Data Science. https://lnkd.in/g45cbiXa Today, let's solve a SQL challenge that involves finding the number of followers for each user in a social media app. 📱👥 We have a table called Followers with two columns: user_id and follower_id. Each row represents a follower following a user in the app. The combination of user_id and follower_id is the primary key of the table. Here's the SQL query that will provide the desired results: Example : Input: Followers table: +---------+-------------+ | user_id | follower_id | +---------+-------------+ | 0       | 1           | | 1       | 0           | | 2       | 0           | | 2       | 1           | +---------+-------------+ Output: +---------+----------------+ | user_id | followers_count| +---------+----------------+ | 0       | 1              | | 1       | 1              | | 2       | 2              | +---------+----------------+ Explanation: The followers of 0 are {1} The followers of 1 are {0} The followers of 2 are {0,1} SELECT user_id, COUNT(follower_id) AS followers_count FROM Followers GROUP BY user_id ORDER BY user_id; In this query, we use the GROUP BY clause to group the records by user_id. Then, we use the COUNT function to count the number of followers (follower_id) for each user. Finally, we order the result by user_id in ascending order. The result will be a table with two columns: user_id and followers_count, representing the user ID and the count of their followers, respectively. Example result: +---------+----------------+ | user_id | followers_count| +---------+----------------+ | 0 | 1 | | 1 | 1 | | 2 | 2 | +---------+----------------+ In this example, user 0 has 1 follower, user 1 has 1 follower, and user 2 has 2 followers. Feel free to try out this query on your own database or the provided sample data to see the results. Happy coding! 💻🔢 #SQL hashtag #Databases hashtag #DataAnalysis hashtag #LeetCode hashtag #SQL hashtag #DataAnalysis hashtag #DataManipulation hashtag #LinkedInLearning hashtag #ContinuousLearning hashtag #Temotec hashtag #TemotecAcademy hashtag #TamerAhmed hashtag #50DaysOFSQL hashtag #50daysofsqls hashtag #SQLChallenges hashtag #DataAnalysis hashtag #SQLQueries hashtag #DataManipulation hashtag #ProblemSolving hashtag #DataDrivenInsights hashtag

📢 Hello LinkedIn community! 🌟💼 🌟 Day 41/50 Days of SQL Challenge 🌟 SQL Course 2024: SQL for Data Analysis and Data Science. https://lnkd.in/g45cbiXa SQL Bootcamp 2024: Master SQL & PostgreSQL - Hands-On Course https://lnkd.in/gaHnijmg SQL Introduction Course 2024: SQL Crash Course. https://lnkd.in/dFyqBHBB Today, let's solve a SQL challenge that involves reporting the primary department for each employee. 📊👥 The combination of employee_id and department_id forms the primary key for this table. The primary_flag column is an ENUM (category) with values 'Y' or 'N'. If the primary_flag is 'Y', it indicates that the department is the primary department for the employee, and if it's 'N', it means the department is not the primary. Employees can belong to multiple departments, and when they join other departments, they need to specify their primary department. Note that when an employee belongs to only one department, their primary_flag is 'N'. Solution: SELECT employee_id, CASE WHEN COUNT(*) > 1 AND COUNT(CASE WHEN primary_flag = 'Y' THEN 1 END) = 1 THEN MAX(CASE WHEN primary_flag = 'Y' THEN department_id END) WHEN COUNT(*) = 1 THEN MAX(department_id) ELSE NULL END AS department_id FROM Employee GROUP BY employee_id HAVING department_id IS NOT NULL; we group the records by employee_id. We use a CASE statement to handle different scenarios. If an employee belongs to more than one department and has exactly one department marked as the primary (primary_flag = 'Y'), we select that department as their primary department. If an employee belongs to only one department, we select their only department as their primary department. If an employee belongs to multiple departments but doesn't have a primary department (primary_flag = 'Y' for any department), we return NULL for their department. The HAVING clause is used to filter out the employees who don't have a primary department (NULL department_id). Result: +-------------+---------------+ | employee_id | department_id | +-------------+---------------+ | 1 | 1 | | 2 | 1 | | 3 | 3 | | 4 | 3 | +-------------+---------------+ employee 1 has only one department (department 1), and it is considered their primary department. Employee 2 belongs to departments 1 and 2, but department 1 is marked as their primary department. Employee 3 belongs to department 3, and it is their primary department. Employee 4 belongs to departments 2, 3, and 4, but department 3 is marked as their primary department. #SQL hashtag #Databases hashtag #DataAnalysis hashtag #LeetCode hashtag #SQL hashtag #DataAnalysis hashtag #DataManipulation hashtag #ContinuousLearning hashtag #Temotec hashtag #TemotecAcademy hashtag #TamerAhmed hashtag #50DaysOFSQL hashtag #50daysofsqls hashtag #SQLChallenges hashtag #DataAnalysis hashtag #SQLQueries hashtag #DataManipulation hashtag #ProblemSolving hashtag

📢 Hello LinkedIn community! 🌟💼 🌟 Day 40/50 Days of SQL Challenge 🌟 SQL Course 2024: SQL for Data Analysis and Data Science. https://lnkd.in/g45cbiXa SQL Bootcamp 2024: Master SQL & PostgreSQL - Hands-On Course https://lnkd.in/gaHnijmg SQL Introduction Course 2024: SQL Crash Course. https://lnkd.in/dFyqBHBB Today, let's solve a SQL challenge that involves reporting the number of employees who report to each manager, along with the average age of those reports. 📊👥 Table: Employees +-------------+----------+ | Column Name | Type     | +-------------+----------+ | employee_id | int      | | name        | varchar  | | reports_to  | int      | | age         | int      | +-------------+----------+ We have a table called Employees with several columns: employee_id, name, reports_to, and age. The employee_id column has unique values, and the reports_to column represents the manager's ID to whom the employee reports. Some employees may not report to anyone, indicated by a NULL value in the reports_to column. Here's the SQL query that will provide the desired results: SELECT e1.employee_id, e1.name, COUNT(*) AS reports_count, ROUND(AVG(e2.age)) AS average_age FROM Employees e1 JOIN Employees e2 ON e1.employee_id = e2.reports_to GROUP BY e1.employee_id, e1.name ORDER BY e1.employee_id; In this query, we perform a self-join on the Employees table to match each employee with their respective manager using the employee_id and reports_to columns. Then, we use the GROUP BY clause to group the records by the manager's employee_id and name. Within each group, we use the COUNT(*) function to count the number of reports for each manager and the AVG(e2.age) function to calculate the average age of the reports. The ROUND function is used to round the average age to the nearest integer. Finally, we order the result by the manager's employee_id in ascending order. Example result: +-------------+-------+---------------+-------------+ | employee_id | name | reports_count | average_age | +-------------+-------+---------------+-------------+ | 9 | Hercy | 2 | 39 | +-------------+-------+---------------+-------------+ In this example, employee Hercy with ID 9 has 2 direct reports (Alice and Bob). The average age of the reports is calculated as (41+36)/2 = 38.5, rounded to 39. #SQL hashtag #Databases hashtag #DataAnalysis hashtag #LeetCode hashtag #SQL hashtag #DataAnalysis hashtag #DataManipulation hashtag #LinkedInLearning hashtag #ContinuousLearning hashtag #Temotec hashtag #TemotecAcademy hashtag #TamerAhmed hashtag #50DaysOFSQL hashtag #50daysofsqls hashtag #SQLChallenges hashtag #DataAnalysis hashtag #SQLQueries hashtag #DataManipulation hashtag #ProblemSolving hashtag #DataDrivenInsights hashtag

📢 Hello LinkedIn community! 🌟💼 🌟 Day 39/50 Days of SQL Challenge 🌟 SQL Bootcamp 2024: Master SQL & PostgreSQL - Hands-On Course https://lnkd.in/gaHnijmg SQL Course 2024: SQL for Data Analysis and Data Science. https://lnkd.in/g45cbiXa SQL Introduction Course 2024: SQL Crash Course. https://lnkd.in/dFyqBHBB Today, let's solve a SQL challenge that involves finding the customer IDs from the `Customer` table who bought all the products in the `Product` table. 🛍️👥 We have two tables: `Customer` and `Product`. The `Customer` table contains information about each customer's purchase, including the customer ID and the product key. The `Product` table contains the product keys for all   Write a solution to report the customer ids from the Customer table that bought all the products in the Product table. Return the result table in any order. The result format is in the following example. Example 1: Input: Customer table: +-------------+-------------+ | customer_id | product_key | +-------------+-------------+ | 1           | 5           | | 2           | 6           | | 3           | 5           | | 3           | 6           | | 1           | 6           | +-------------+-------------+ Product table: +-------------+ | product_key | +-------------+ | 5           | | 6           | +-------------+ Output: +-------------+ | customer_id | +-------------+ | 1           | | 3           | +-------------+ Explanation: The customers who bought all the products (5 and 6) are customers with IDs 1 and 3. Here's the SQL query that will provide the desired results: SELECT customer_id FROM Customer GROUP BY customer_id HAVING COUNT(DISTINCT product_key) = (SELECT COUNT(*) FROM Product); In this query, we use the `GROUP BY` clause to group the records in the `Customer` table by `customer_id`. Then, we use the `HAVING` clause to filter the groups, selecting only those groups where the count of distinct `product_key` values is equal to the total number of products in the `Product` table. The result will be a table with a single column: `customer_id`, representing the customer IDs who bought all the products. Example result: +-------------+ | customer_id | +-------------+ | 1      | | 3      | +-------------+ In this example, customers with IDs 1 and 3 bought all the products (product keys 5 and 6). Feel free to try out this query on your own database or the provided sample data to see the results. Happy coding! 💻🔢 #SQL hashtag #Databases hashtag #DataAnalysis hashtag #LeetCode hashtag #SQL hashtag #DataAnalysis hashtag #DataManipulation hashtag #LinkedInLearning hashtag #ContinuousLearning hashtag #Temotec hashtag #TemotecAcademy hashtag #TamerAhmed hashtag #50DaysOFSQL hashtag #50daysofsqls hashtag #SQLChallenges hashtag #DataAnalysis hashtag #SQLQueries hashtag #DataManipulation hashtag #ProblemSolving hashtag #DataDrivenInsights hashtag

🚀 Roadmap to Master SQL🚀 Check this out 👇 1. Introduction to SQL 📝 Objective: Understand the basics of SQL, its history, and its importance. Topics Covered: 1.What is SQL? 2.Relational Database Concepts 3.SQL Syntax 4.Basic SQL Commands: SELECT, INSERT, UPDATE, DELETE Resources: 1.W3Schools SQL Tutorial: https://lnkd.in/gm_c8AKt 2.Khan Academy's Intro to SQL: https://lnkd.in/gnf-TXsf 3.Codecademy SQL Course: https://lnkd.in/gqzxrPt8 2. Basic SQL Queries 🔍 Objective: Learn to retrieve data from databases. Topics Covered: 1.SELECT Statement 2.Filtering Data: WHERE Clause 3.Sorting Data: ORDER BY Clause 4.Limiting Data: LIMIT/OFFSET Resources: 1.Mode Analytics SQL Tutorial: https://lnkd.in/gVedkiUT 2.SQLBolt: https://sqlbolt.com/ 3. Intermediate SQL 🔄 Objective: Dive deeper into SQL queries and database manipulation. Topics Covered: 1.Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN 2.Aggregations: COUNT, SUM, AVG, MIN, MAX 3.Grouping Data: GROUP BY Clause 4.Subqueries 5.Working with Date and Time Resources: 1.Khan Academy Advanced SQL: https://lnkd.in/gHiQxRAE 2.Udemy - SQL for Data Science: https://lnkd.in/gzZctVrh 4. Advanced SQL 🚀 Objective: Master complex SQL queries and database optimization techniques. Topics Covered: 1.Window Functions 2.Common Table Expressions (CTEs) 3.Indexes and Performance Tuning 4.Stored Procedures and Functions 5.Triggers 6.Transactions and Concurrency Control Resources: 1.SQL Server Tutorial - Advanced SQL: https://lnkd.in/gB-6k_Ua 2.Coursera - Advanced SQL for Data Scientists: https://lnkd.in/gwh58tVe 3.Udemy - The Complete SQL Bootcamp: https://lnkd.in/guuqCeeV 5. Practical SQL Experience 🛠️ Objective: Apply SQL knowledge to real-world problems and projects. Resources: LeetCode - SQL Problems: https://lnkd.in/gzes3Gex HackerRank - SQL Practice: https://lnkd.in/gZpB-yDW DataCamp - SQL Projects: https://lnkd.in/gHXG585m 6. SQL Certifications 🎓 Objective: Validate your SQL skills with certifications. Resources: Microsoft Certified: Azure Data Fundamentals: https://lnkd.in/gZMKaMzt Oracle Database SQL Certified Associate: https://lnkd.in/gUTZvdKw IBM Certified Database Associate: https://lnkd.in/g_YQzjfw 💡 Tips for Mastering SQL 1.Practice Regularly: Consistency is key to mastering SQL. 2.Work on Projects: Apply your skills in real-world projects. 3.Join Communities: Participate in forums and communities like Stack Overflow, Reddit, and SQLServerCentral. #SQL #SQLTutorial #LearnSQL #SQLTraining #DataScience #Database #DataAnalytics #Coding #TechSkills #Programming

𝐒𝐐𝐋 𝐌𝐚𝐬𝐭𝐞𝐫𝐲 : 𝐀 𝐂𝐨𝐦𝐩𝐫𝐞𝐡𝐞𝐧𝐬𝐢𝐯𝐞 𝐆𝐮𝐢𝐝𝐞 𝐟𝐫𝐨𝐦 𝐍𝐨𝐯𝐢𝐜𝐞 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝟏. 𝐒𝐐𝐋 𝐁𝐚𝐬𝐢𝐜𝐬 First, you will start by learning the SQL basics commands which include SELECT, WHERE, JOINS, Aggregate Functions (Count, Sum, AVG, etc.), and table commands such as (create, delete, insert, etc.) There are many resources to learn these basics but I recommend SQL Bolt. 𝐋𝐢𝐧𝐤: https://sqlbolt.com/ 𝟐. 𝐈𝐧𝐭𝐞𝐫𝐦𝐞𝐝𝐢𝐚𝐭𝐞 & 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐒𝐐𝐋 Now it is time to learn more advanced SQL concepts such as Subqueries, Window functions, SQL for data wrangling, and more. A great place to learn these concepts is Mode SQL. 𝐋𝐢𝐧𝐤: https://lnkd.in/dUVyGKwV 𝟑. 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 After studying SQL commands and statements it will be important to have a basic understanding of databases and their main characteristics and concepts. My recommendation is the Stanford Databases: Relational Databases and SQL Course. 𝐋𝐢𝐧𝐤: https://lnkd.in/dsq_4Cac 𝟒. 𝐒𝐐𝐋 𝐂𝐚𝐬𝐞 𝐒𝐭𝐮𝐝𝐢𝐞𝐬 Now you are ready for practicing. I would recommend starting with practicing real case studies. A great place to do so is the 8-week SQL challenge by Danny Ma. 𝐋𝐢𝐧𝐤: https://lnkd.in/d22aWUmw 𝟓. 𝐒𝐐𝐋 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐞 Finally, you can start to solve SQL questions that you will expect to meet in a data science interview and also in practice. There are a lot of resources to do so. Here are a few good options: ✅ 𝐋𝐞𝐞𝐭𝐜𝐨𝐝𝐞: https://lnkd.in/dEEhGu6F ✅ 𝐒𝐭𝐫𝐚𝐭𝐚𝐬𝐜𝐫𝐚𝐭𝐜𝐡: https://lnkd.in/dMdzZVwD ✅ 𝐃𝐚𝐭𝐚𝐋𝐞𝐦𝐮𝐫: https://datalemur.com/ 𝟔. 𝐁𝐞𝐜𝐨𝐦𝐞 𝐒𝐐𝐋 𝐄𝐱𝐩𝐞𝐫𝐭 If you would like to build more knowledge you can start studying from more advanced resources. I recommend three books: ✅ 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬: The Complete Book https://lnkd.in/dYSF2qvc ✅ 𝐒𝐐𝐋 𝐂𝐨𝐨𝐤𝐛𝐨𝐨𝐤: Query Solutions and Techniques for Database Developers https://lnkd.in/dZ8Se4Rj ✅ 𝐇𝐢𝐠𝐡-𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐌𝐲𝐒𝐐𝐋: Optimization, Backups, and Replication https://lnkd.in/dDFbqSHB #sql #fresher #novice #advanced #beginner #expert #linkedin #datascience #dataanalyst #dataengineer #softwareengineer #jobs

📊 The Power of SQL: Unlocking Data's Potential 🔓 In today's data-driven world, SQL stands as a cornerstone of modern business intelligence. Here's why it remains indispensable: 1️⃣  𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗮𝗹 𝗟𝗮𝗻𝗴𝘂𝗮𝗴𝗲: SQL speaks to databases across platforms, making it a must-have skill for data professionals. 2️⃣  𝗗𝗮𝘁𝗮 𝗠𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗠𝗮𝘀𝘁𝗲𝗿𝘆: From simple queries to complex joins, SQL empowers us to slice and dice data with precision. 3️⃣ 𝗦𝗰𝗮𝗹𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Whether you're working with megabytes or petabytes, SQL scales to meet your needs. 4️⃣ 𝗥𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝗜𝗻𝘀𝗶𝗴𝗵𝘁𝘀: SQL allows for quick, on-the-fly analysis, turning raw data into actionable information. 5️⃣ 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗞𝗶𝗻𝗴: It plays well with others, seamlessly connecting to various tools and technologies. 💡 𝗣𝗿𝗼 𝗧𝗶𝗽: Invest time in mastering SQL. It's not just a skill—it's your key to unlocking the stories hidden in your data. 🚀 𝗥𝗲𝗮𝗱𝘆 𝘁𝗼 𝗺𝗮𝘀𝘁𝗲𝗿 𝗦𝗤𝗟? 𝗛𝗲𝗿𝗲'𝘀 𝗮 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗿𝗼𝗮𝗱𝗺𝗮𝗽 𝘁𝗼 𝗴𝗲𝘁 𝘆𝗼𝘂 𝘀𝘁𝗮𝗿𝘁𝗲𝗱: 𝗪𝗲𝗲𝗸 𝟭-𝟮: 𝗕𝗮𝘀𝗶𝗰𝘀 SELECT, FROM, WHERE clauses Data types and table creation INSERT, UPDATE, DELETE operations 𝗪𝗲𝗲𝗸 𝟯-𝟰: 𝗜𝗻𝘁𝗲𝗿𝗺𝗲𝗱𝗶𝗮𝘁𝗲 JOINs (INNER, LEFT, RIGHT, FULL) Aggregate functions (COUNT, SUM, AVG) GROUP BY and HAVING clauses 𝗪𝗲𝗲𝗸 𝟱-𝟲: 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 Subqueries and nested queries Window functions Common Table Expressions (CTEs) 𝗪𝗲𝗲𝗸 𝟳-𝟴: 𝗢𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻 & 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀 Indexing and query optimization EXPLAIN plans SQL style guides and conventions 💡 𝗣𝗿𝗼 𝗧𝗶𝗽: Practice regularly with real datasets. Sites like LeetCode and HackerRank offer great SQL challenges. 🎓 𝗧𝗼𝗽 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗦𝗤𝗟: DataCamp - Interactive SQL courses Khan Academy - Free SQL basics W3Schools.com - Comprehensive SQL tutorials CodeAcademy - "Learn SQL" course Udacity- "SQL for Data Analysis" https://lnkd.in/d3UQfnvp by Ankit Bansal https://lnkd.in/dg6Eb_R9 by Thoufiq Mohammed https://lnkd.in/dPSNZe7j by Harshit Bhadiyadra 🛠️ 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: LeetCode HackerRank StrataScratch https://lnkd.in/dbkVqpkb https://mode.com/ 💡 𝗣𝗿𝗼 𝗧𝗶𝗽: Combine theoretical learning with hands-on practice. Many of these platforms offer interactive environments to write and execute SQL queries. 🔍 What's your favorite SQL resource? Share below and let's learn together! 𝗙𝗼𝗹𝗹𝗼𝘄 Deependra Singh for more such contents 🎯 🔔 ✅ Tagging Ankit Bansal Durgesh Yadav Gaurav Agrawal Jahanvee Narang Munna Das Harshit Bhadiyadra #SQL #DataAnalytics #BusinessIntelligence #TechSkills #LearningPath

Did you know? SQL can be your best friend in the database world, because unlike your real friends, it won't forget your queries or leave you hanging! 😄🔍 🔍 Join me on #DAY72 of my 100 Days Technical Transformation Challenge! 🚀 📚 Mastering SQL Essentials In this blog, we'll dive into the world of SQL, covering everything from the basics to advanced techniques. Here's what you can expect: 🔹 What is a Database?: Learn the fundamentals of databases and their importance in data management. 🔹 Introduction to SQL: Explore the essence of Structured Query Language and its role in interacting with databases. 🔹 SQL vs. NoSQL: Understand the key differences between SQL and NoSQL databases for better decision-making. 🔹 Understanding Tables: Discover how tables organize data in a structured format for efficient retrieval. 🔹 Creating Tables: Step-by-step guide to creating tables in SQL using the CREATE TABLE statement. 🔹 Constraints in SQL: Learn about constraints and their significance in maintaining data integrity. 🔹 Inserting Data into Tables: Explore how to add new records into tables with the INSERT INTO statement. 🔹 Retrieving Data with SELECT: Master the art of querying data using the SELECT statement. 🔹 Filtering Data with WHERE Clause: Understand how to filter data based on specific conditions using the WHERE clause. 🔹 Limiting and Sorting Results: Learn to limit and sort query results for better data presentation. 🔹 Aggregate Functions and Grouping: Explore aggregate functions and grouping techniques for data analysis. 🔹 Updating and Deleting Data: Discover how to update and delete records from tables with SQL statements. 🔹 Altering Table Structure: Learn to modify table structures using the ALTER TABLE statement. 🔹 Truncating Table Data: Understand how to remove all records from a table while keeping its structure intact. 🔹 Using MySQL with Node.js: Get hands-on experience with a code snippet demonstrating MySQL usage with Node.js. Are you ready to take your SQL skills to the next level? Follow along with my blog and join me on my 100 Days Technical Transformation Challenge! Let's grow together! 🌟 #TechTransformation #SQLMaster #100DaysChallenge https://lnkd.in/gUU6z23d

14 Days Roadmap to learn SQL 𝗗𝗮𝘆 𝟭: 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀 𝗮𝗻𝗱 𝗦𝗤𝗟 Topics to Cover: - What is SQL? - Different types of databases (Relational vs. Non-Relational) - SQL vs. NoSQL - Overview of SQL syntax Practice: - Install a SQL database (e.g., MySQL, PostgreSQL, SQLite) - Explore an online SQL editor like SQLFiddle or DB Fiddle 𝗗𝗮𝘆 𝟮: 𝗕𝗮𝘀𝗶𝗰 𝗦𝗤𝗟 𝗤𝘂𝗲𝗿𝗶𝗲𝘀 Topics to Cover: - SELECT statement - Filtering with WHERE clause - DISTINCT keyword Practice: - Write simple SELECT queries to retrieve data from single table - Filter records using WHERE clauses 𝗗𝗮𝘆 𝟯: 𝗦𝗼𝗿𝘁𝗶𝗻𝗴 𝗮𝗻𝗱 𝗙𝗶𝗹𝘁𝗲𝗿𝗶𝗻𝗴 Topics to Cover: - ORDER BY clause - Using LIMIT/OFFSET for pagination - Comparison and logical operators Practice: - Sort data with ORDER BY - Apply filtering with multiple conditions use AND/OR 𝗗𝗮𝘆 𝟰: 𝗦𝗤𝗟 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗔𝗴𝗴𝗿𝗲𝗴𝗮𝘁𝗶𝗼𝗻𝘀 Topics to Cover: - Aggregate functions (COUNT, SUM, AVG, MIN, MAX) - GROUP BY and HAVING clauses Practice: - Perform aggregation on dataset - Group data and filter groups using HAVING 𝗗𝗮𝘆 𝟱: 𝗪𝗼𝗿𝗸𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗠𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝗧𝗮𝗯𝗹𝗲𝘀 - 𝗝𝗼𝗶𝗻𝘀 Topics to Cover: - Introduction to Joins (INNER, LEFT, RIGHT, FULL) - CROSS JOIN and self-joins Practice: - Write queries using different types of JOINs to combine data from multiple table 𝗗𝗮𝘆 𝟲: 𝗦𝘂𝗯𝗾𝘂𝗲𝗿𝗶𝗲𝘀 𝗮𝗻𝗱 𝗡𝗲𝘀𝘁𝗲𝗱 𝗤𝘂𝗲𝗿𝗶𝗲𝘀 Topics to Cover: - Subqueries in SELECT, WHERE, and FROM clauses - Correlated subqueries Practice: - Write subqueries to filter, aggregate, an select data 𝗗𝗮𝘆 𝟳: 𝗗𝗮𝘁𝗮 𝗠𝗼𝗱𝗲𝗹𝗹𝗶𝗻𝗴 𝗮𝗻𝗱 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗗𝗲𝘀𝗶𝗴𝗻 Topics to Cover: - Understanding ERD (Entity Relationship Diagram) - Normalization (1NF, 2NF, 3NF) - Primary and Foreign Key Practice: - Design a simple database schema and implement it in your database 𝗗𝗮𝘆 𝟴: 𝗠𝗼𝗱𝗶𝗳𝘆𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 - 𝗜𝗡𝗦𝗘𝗥𝗧, 𝗨𝗣𝗗𝗔𝗧𝗘, 𝗗𝗘𝗟𝗘𝗧𝗘 Topics to Cover: - INSERT INTO statement - UPDATE and DELETE statement - Transactions and rollback Practice: - Insert, update, and delete records in a table - Practice transactions with COMMIT and ROLLBACK 𝗗𝗮𝘆 𝟵: 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗤𝗟 𝗙𝘂𝗻𝗰𝘁𝗶𝗼𝗻𝘀 Topics to Cover: - String functions (CONCAT, SUBSTR, etc.) - Date functions (NOW, DATEADD, DATEDIFF) - CASE statement Practice: - Use string and date function in queries - Write conditional logic using CASE 𝗗𝗮𝘆 𝟭𝟬: 𝗩𝗶𝗲𝘄𝘀 𝗮𝗻𝗱 𝗜𝗻𝗱𝗲𝘅𝗲𝘀 Topics to Cover: - Creating and using Views - Indexes: What they are and how they work - Pros and cons of using indexes Practice: - Create and query views - Explore how indexes affect query performance 𝗦𝗤𝗟 𝗲𝘅𝗽𝗲𝗿𝘁𝘀 𝘆𝗼𝘂 𝗰𝗮𝗻 𝗳𝗼𝗹𝗹𝗼𝘄: - Ankit Bansal - Sumit Mittal - Zach Morris Wilson - Shashank Singh 🇮🇳 𝗝𝗼𝗶𝗻 𝗺𝘆 𝘁𝗲𝗹𝗲𝗴𝗿𝗮𝗺 𝗰𝗵𝗮𝗻𝗻𝗲𝗹 - https://lnkd.in/d_PjD86B Happy learning !

🔥𝐒𝐐𝐋 𝐆𝐮𝐢𝐝𝐞 𝐟𝐨𝐫 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰 & 𝐒𝐐𝐋 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 𝐈𝐧𝐭𝐞𝐫𝐯𝐢𝐞𝐰: 𝐁𝐚𝐬𝐢𝐜 𝐭𝐨 𝐀𝐝𝐯𝐚𝐧𝐜𝐞𝐝 𝐒𝐐𝐋 𝐆𝐮𝐢𝐝𝐞 📊 📍 This comprehensive SQL guide covers everything from basic to advanced concepts, ensuring you're well-prepared for any SQL-related interview. 🎆𝐆𝐞𝐭 𝐝𝐢𝐫𝐞𝐜𝐭 𝐚𝐜𝐜𝐞𝐬𝐬 𝐭𝐨 𝟐𝟓𝟎𝟎+ 𝐏𝐫𝐞𝐦𝐢𝐮𝐦 𝐇𝐑 𝐄𝐦𝐚𝐢𝐥𝐬 𝐟𝐫𝐨𝐦 𝐭𝐨𝐩 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬! 🎯 Skip the long application process and connect directly with HR professionals. 📥 Start your career journey today—grab your list now! ✈ Link:- https://bit.ly/4dJVyit 📍 🔍 What’s Inside 📊 1. SQL Basics Introduction & Basic SQL syntax 2. Querying Data SELECT statements: filtering, sorting, grouping 3. Joins & correlated subqueries 4. Data Manipulation INSERT statements 5. Data Definition Language (DDL)  6. Advanced SQL Topics Indexes, Transactions and locking mechanisms 7. Data Science SQL Data analysis with SQL , Data visualization Machine learning with SQL, data preparation 8. Common Interview Questions Frequently asked SQL interview questions 9. Tips for solving SQL problems efficiently ➡ Follow Shailja Chaurasia For More Updates 🔔 ➡ Follow Shailja Chaurasia For More Updates 🔔 ➡ Follow Shailja Chaurasia For More Updates 🔔 🔔 🔔 Join Telegram Channel 🔔 🔔 📌 1000+ Jobs related to SQL Development are already shared here :- https://t.me/nxt_hiring _______________________________________________________________ 𝗕𝗲𝘀𝘁 𝗙𝗥𝗘𝗘 𝗦𝗤𝗟 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘄𝗶𝘁𝗵 𝗖𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗢𝗻𝗹𝗶𝗻𝗲 (𝟮𝟬𝟮𝟰) -SQL for Data Science 🔗 imp.i384100.net/9gNKDy -Introduction to Structured Query Language (SQL) 🔗 imp.i384100.net/5gR4EL -Databases and SQL for Data Science with Python 🔗 imp.i384100.net/xkB1av -Oracle SQL Basics– Coursera 🔗 imp.i384100.net/zNWJG6 -Introduction to Databases 🔗 imp.i384100.net/baLnBk -Meta Database Engineer 🔗 imp.i384100.net/anyEoM -IBM Data Analyst 🔗 imp.i384100.net/g193n9 -Data Science Fundamentals with Python and SQL Specialization 🔗 imp.i384100.net/DK4o2j -Using Databases with Python 🔗 imp.i384100.net/EKk4NK -Meta Back-End Developer 🔗 imp.i384100.net/OrXPxn -Python for Everybody 🔗 imp.i384100.net/MmZrLo #SQL #SQLInterviewQuestions #DataScience #SQLDeveloper #DatabaseManagement #SQLCareer