Beginner mistake in SQL:
Trying to learn everything at once.
Better approach:
Master one concept per day:
Day 1: SELECT
Day 2: WHERE
Day 3: JOIN
Day 4: GROUP BY
Small wins = real progress.
#SQLLearning
Everyone watches price.
Smart people watch behavior.
Price = reaction
On-chain = intention
Track this:
• Exchange flows
• Active addresses
• Whale movements
That’s where the real edge is.
It gets easier when you’re not figuring it out alone.
Join our Waitlist For Our Future Cohorts Here: /forms.gle/L2Wwg3NyMRFbvVCn7#AnalyticsSages#SQLLearning#OnChainAnalytics#Web3
Week 8, Day 1 of my SQL journey 💻
Today I practiced INNER JOIN and “connected the dots”:
only rows that exist in both tables show up.
Clean aliases clear joins = readable queries ✅
LEFT JOIN tomorrow… excited!
#SQLLearning#DataAnalytics#InnerJoin#LearningInPublic
Day 58/100 of learning SQL
Today I focused on understanding Clustered vs Non-Clustered Indexes in MySQL:
- Clustered Index: sorts actual table data
- Non-Clustered Index: stores pointers to data
#100DaysOfSQL#SQLLearning#DataAnalytics
Day 5 of my #SQL challenge
Learned about Aggregate Functions, tools to summarize data quickly
COUNT() – Total rows
SUM() – Total value
AVG() – Average
MIN() / MAX() – Smallest & Largest
These help turn raw data into real insights.
#SQL#SQLLearning#21DaysSQLChallenge
Day 41 of SQL Learning
Today I learned triggers!
At first, the syntax had me spinning 😅
But after breaking it down with a simple example, it finally clicked.
#100DaysOfSQL#SQLLearning#DataJourney
Day 31 of learning SQL 💻
Today I explored how to combine multiple window functions in a single query.
From running totals, to ranks, to moving averages,all working together without grouping or collapsing rows
#100DaysOfSQL#DataAnalytics#SQLLearning#LearningInPublic
6/ Each concept has sharpened my thinking and built my confidence with data.
Can’t wait to apply it all in real-world projects!
#WomenInTech#SQLLearning#DataJourney
Most of these data are stored in RDBMS, so the knowledge of SQL is very critical for Data Analysts and Scientists because it helps them filter data, retrieve data, modify data and clean data e.t.c from RDBMS
#sql#sqllearning
WHY IS THIS PROGRAMMING LANGUAGE IMPORTANT TO DATA ANALYSTS AND DATA SCIENTISTS?
Data Scientist and data Analyst use data for most of their works. From analyzing data, drawing insights from the analysis and also making predictions based on data.
#sql#sqllearning
WHAT IS SQL?
SQL(Structured Query Language) is a standard programming language which is used for handling/ managing and manipulating structured data, usually in a Relational Database Management System (RDBMS) such as MySQL
#sql#sqllearning