Data Sapien🧐

@JeffBezos please do the needful. Im pissed of with your services brother.

@AmazonHelp Check the msgs in dm

@DataDetective98 We're sorry to know you've received an incorrect item in the package. We'd like to help you with this. Please reach out to us via DM, and we'll do our best to assist. Further, please don't include any personal or account information. -Shabreen x.com/messages/compo…

I received wrong item instead of my order which is worth or 7,299 INR (new balance shoes). I raised a return request but the portal isnt reflecting it and not even one call was attempted from your side this is very disgrace and unhappy with your customer service. @amazonIN

Customer service assistance were so rude on this they are not even talking me properly and they saying they cant take my product as return. This is so so disdainful @amazonIN

Jemimah ~ Firstly i want to thank jesus கிரிக்கெட் சங்கிஸ் :

@Mbadiwejesse 👍

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@thetripathi58 Data

@Piyushkumar420 Sql

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#Interviews Two scenario-based SQL Interview questions ! Question 1: Scenario: You have a table called "orders" with columns "order_id", "customer_id", "order_date", and "total_amount". Write a query to find the customers who have placed an order in the last 30 days, but not in the last 14 days. Answer: ``` SELECT customer_id FROM orders WHERE order_date BETWEEN DATEADD(DAY, -30, GETDATE()) AND DATEADD(DAY, -14, GETDATE()) GROUP BY customer_id HAVING COUNT(order_id) > 0; ``` Question 2: Scenario: You have a table called "products" with columns "product_id", "product_name", "price", and "product_category". Write a query to find the products that have a price greater than the average price of all products in their category, but less than the maximum price in their category. Answer: ``` SELECT p1.product_id, p1.product_name, p1.price FROM products p1 JOIN ( SELECT product_category, AVG(price) AS avg_price, MAX(price) AS max_price FROM products GROUP BY product_category ) p2 ON p1.product_category = p2.product_category WHERE p1.price > p2.avg_price AND p1.price < p2.max_price; ```

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In which order SQL queries run?🔎👇 In SQL, the order in which queries are processed is typically defined by the logical query processing order. The logical query processing order is different from the order in which the SQL statements are written in the query. Here is the general logical order in which SQL queries are processed: 1. FROM clause: The data sources (tables, views, etc.) specified in the FROM clause are processed first. This involves reading the data from the tables and combining data from multiple sources if there are joins. 2. WHERE clause: The WHERE clause is applied to filter the rows based on the specified conditions. Rows that do not meet the criteria in the WHERE clause are excluded from further processing. 3. GROUP BY clause: If a GROUP BY clause is present, rows are then grouped based on the specified columns. Aggregate functions (like SUM, COUNT, AVG) are then applied to each group. 4. HAVING clause: If a HAVING clause is present, it filters groups based on aggregate conditions. Groups that do not meet the criteria in the HAVING clause are excluded. 5. SELECT clause: The SELECT clause is then applied to the result set. Columns are selected, and expressions are computed. 6. ORDER BY clause: If an ORDER BY clause is present, the result set is then sorted based on the specified columns. 7. LIMIT/OFFSET (if applicable): If there is a LIMIT or OFFSET clause (used in some database systems), the final result set is then limited or offset accordingly.

செயற்கை நுண்ணறிவியல் நுட்பங்களை மாணவர்கள் கற்க விரும்பினால் இலவசமாக மைக்ரோ சாப்ட் வழங்கும் ஏ.ஐ பாடங்களை படிக்கலாம். இதோ சுட்டி microsoft.github.io/AI-For-Beginne…

Everyone should learn EXCEL irrespective of your profession. It will put you ahead of the curve. Here are 5 YouTube videos that will help you master Excel:

Power BI for Data Science Complete Study Plan 10 hours a week to dedicate to this, here's a 12-week study plan Week 1: Introduction to Power BI Day 1-3: Begin with the official Power BI Guided Learning resources to get familiar with the platform. Link: learn.microsoft.com/en-us/training… Day 4-7: Watch the "Getting Started with Power BI" series Link: youtube.com/watch?v=Vqz2d7… Week 2: Data Loading and Transformation Day 1-4: Explore the Power Query Editor and learn how to load and transform data. youtube.com/watch?v=TF0sGX… Day 5-7: Watch the tutorial on data transformation in Power BI youtube.com/watch?v=PiFAa_… Week 3: Building Visualizations Day 1-4: Dive into creating basic visualizations like tables, charts, and maps using the official documentation. [youtube.com/watch?v=Df81Tj…!) Day 5-7: Watch tutorials on creating all the visuals youtube.com/watch?v=GYpiIs… Week 4: Advanced Visualizations Day 1-4: Explore the advanced Power BI tutorials youtube.com/watch?v=ppD-jK… Day 5-7: Watch tutorials on including custom visuals and slicers. Customer Visuals: youtube.com/watch?v=x_tSlW… Slicers: youtube.com/watch?v=-xl-uh… Week 5: Data Modeling and DAX Day 1-4: Learn about data modeling and the DAX language Dax: youtube.com/watch?v=waG_Jh… Data Modelling: youtube.com/watch?v=1Z_f6j… Day 5-7: Watch DAX tutorials on Power BI's YouTube channel. youtube.com/watch?v=sCAQtq… Week 6: Dashboard Design, Publishing And Project Explore dashboard creation, Design, and publishing options in Power BI. Design: youtube.com/watch?v=Lfzu74… Publish: youtube.com/watch?v=KpZPUd… Project: youtube.com/watch?v=pixlHH… Throughout your study plan, remember to practice what you learn by working on personal projects or datasets related to your data science field. - - - That’s all for now! - Smash the LIKE button and REPOST - BOOKMARK because you’ll definitely want to revisit this again - Follow me for more posts like this