Posts with #100DaysOfSQL

#100DaysOfSQL

Public posts on X that use #100DaysOfSQL.

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  1. Cosmas Mwirigi@MwirigiCosmas1
    Day 7 of #100DaysOfSQL 🚀 Today: changing data with UPDATE, changing tables with ALTER COLUMN, and working with dates in PostgreSQL. A thread 🧵👇 Code and notes:
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  2. iam@iamuhammd
    Day 1: SQL Challenge🚀 A retail store tracks all transactions in: Sales(order_id,customer_id,product_id, order_date,amount) -Management asks: Which customers spent more than the avg spend in June 2025, but less than the avg spend in July 2025 #SQL #DataAnalytics #100DaysOfSQL
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  3. Esther 💙@Etty_official
    Day 49/100 of my SQL learning journey... Today, I focused on learning IF and IFNULL in SQL. As I was practicing, I couldn’t help but notice the similarity between IFNULL and COALESCE, which I had learnt earlier same as IF and CASE WHEN...... #100DaysOfSQL #LearningInPublic
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  4. Cosmas Mwirigi@MwirigiCosmas1
    Day 8 of #100DaysOfSQL 🚀 Today: EXTRACT, CASE expressions, subqueries, CTEs and UNION. My queries are starting to look like real analysis. A thread 🧵👇 Code and notes:
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  5. Esther 💙@Etty_official
    Day 42 of 100 days SQL learning Today, I did a mini SQL project and applied everything I’ve learned so far from Self Joins to Triggers, Views, CTEs, UDFs, and more. I also explored Pivoting & Unpivoting to transform and analyze my dataset better #DataAnalytics #100DaysOfSQL
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  6. Armani@armani0GK
    Practicing SQL transformations with the AdventureWorks2022 database! I used CASE statements to: • Classify product prices • Categorize stock levels • Flag weekend orders • Recommend discount tiers Solid way to level up my SQL skills! #100DaysOfSQL #DataAnalytics #SQLServer
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  7. Data is Life@kafilat_yekeen
    Day 29 of #100DaysOfSQL Delete Duplicate Emails Focus: DELETE with subquery + ROW_NUMBER() Used ROW_NUMBER() over Email to flag duplicates. Deleted rows where row_num > 1. Ensured only 1 unique email per user. Learned data cleaning with DELETE + window functions. #DataAnalytics
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    Data is Life @kafilat_yekeen
    Day 28 of #100DaysOfSQL Find Followers Count Focus: COUNT() + GROUP BY Counted followers per user with COUNT(follower_id). Grouped by user_id to get totals. Ordered results for clarity. Reinforced basic aggregation and grouping skills. #DataAnalytics #100DaysOfCode
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  8. Data is Life@kafilat_yekeen
    Day 28 of #100DaysOfSQL Find Followers Count Focus: COUNT() + GROUP BY Counted followers per user with COUNT(follower_id). Grouped by user_id to get totals. Ordered results for clarity. Reinforced basic aggregation and grouping skills. #DataAnalytics #100DaysOfCode
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  9. Data is Life@kafilat_yekeen
    Day 33 of #100DaysOfSQL Group sold products by the date Discovered the power of GROUP_CONCAT() today while solving today's task Instead of returning multiple rows, GROUP_CONCAT() lets you combine values into one string. #100DaysOfCode #DataAnalytics
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    Data is Life @kafilat_yekeen
    Day 32 of #100DaysOfSQL Task: Get employee names with no bonus or bonus < 1000. Focus: Used LEFT JOIN + IS NULL / < 1000. Highlights employees below bonus threshold. #DataAnalytics #100DaysOfCode
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  10. Data is Life@kafilat_yekeen
    Day 38 of #100DaysOfSQL Confirmation Rate Key takeaway: Learned how to calculate confirmation rates by joining signups with confirmations, handling missing records with LEFT JOIN, and using ROUND() for precise decimals. #DataAnalytics #100DaysOfCode
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    Data is Life @kafilat_yekeen
    Day 37 of #100DaysOfSQL Friend Requests II – Who Has the Most Friends Key takeaway: Learned how to treat friendships as bidirectional by combining sender & receiver IDs with UNION ALL, then grouping to count total friends per user. #DataAnalytics #DataScience #100DaysOfCode
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  11. Cosmas Mwirigi@MwirigiCosmas1
    Day 9 of #100DaysOfSQL 🚀 First practice day: 3 SQL challenges on the Kenyan job market, easy to hard, on 787,686 real job postings. A thread 🧵👇 Code and notes:
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  12. Esther 💙@Etty_official
    Day 3 of #100DaysOfSQL 📊 Today I explored: -ORDER BY for sorting results -Column/table aliases for cleaner queries -LIMIT (MySQL) & TOP (SQL Server) to control rows returned I think I'm enjoying this 😂
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  13. Esther 💙@Etty_official
    Day 33 of SQL Learning Today, I learnt TEMPORARY TABLES. - Learnt they only exist during a session. - Practiced creating, inserting, and selecting from temp tables #SQL #DataLearning #100DaysOfSQL
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  14. Esther 💙@Etty_official
    Day 50/100 of my SQL learning journey Today I learnt about ENUM and SET data types in SQL useful for restricting column values to predefined options. On to the next! #100DaysOfSQL #SQL #LearningData
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  15. Esther 💙@Etty_official
    I know this is coming a bit late , I had a long and hectic day Today, I learned about the difference between EXISTSand IN in SQL. After understanding how each works and where they apply in solving queries, I jumped into MySQL Workbench to practice them.#100DaysOfSQL #SQL
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  16. Esther 💙@Etty_official
    Day 4 of #100DaysOfSQL Today, I learned aggregate functions: - COUNT() - SUM() - AVG() - MIN()/ MAX() I also took time to practice my previous day’s work, reinforcing SELECT statements, filtering, and sorting with these new functions. #SQL #DataAnalytics
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  17. Esther 💙@Etty_official
    Day 34 of SQL Learning Today was all about understanding the difference between Derived Tables and CTEs.They both help you build temporary tables in a query but CTEs? Cleaner, reusable, and easier to read. Derived tables? Quick and sometimes messy.#SQL #100DaysOfSQL
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  18. Data is Life@kafilat_yekeen
    Day 30 of #100DaysOfSQL Immediate Food Delivery II Goal: Find the %of customers who received their first order on the same day they placed it. Focus: Group by customer, check first order date vs. preferred delivery date, then compute percentage. #100DaysOfCode #DataAnalytics
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    Data is Life @kafilat_yekeen
    Day 30 of #100DaysOfSQL Rising Temperature 🌡️ Goal: Identify days where the temperature was higher than the previous day. Focus: Self join on the same table, compare consecutive days, and filter rising temps. #100DaysOfCode #DataAnalytics
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  19. Data is Life@kafilat_yekeen
    Day 30 of #100DaysOfSQL Rising Temperature 🌡️ Goal: Identify days where the temperature was higher than the previous day. Focus: Self join on the same table, compare consecutive days, and filter rising temps. #100DaysOfCode #DataAnalytics
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    Data is Life @kafilat_yekeen
    Day 29 of #100DaysOfSQL Delete Duplicate Emails Focus: DELETE with subquery + ROW_NUMBER() Used ROW_NUMBER() over Email to flag duplicates. Deleted rows where row_num > 1. Ensured only 1 unique email per user. Learned data cleaning with DELETE + window functions. #DataAnalytics
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