30 days to confidently solve analytics problems with SQL
A course that builds analytical reflexes and daily learning discipline. Master problem-solving thinking, practice on a dedicated platform, and get 1-on-1 mentor support until you're proficient.
Before gaining confidence working with data, I went through a feeling familiar to every beginner: understanding the theory, but having no idea where to start when asked to do it myself.
You might have a solid grasp of theory, but when a real-world problem comes up, everything suddenly feels empty. What beginners truly lack isn't memorized rules, but analytical reflexes to break down problems and connect data together.
Most people give up midway because of 4 common barriers:
Lost in a sea of material
Too many scattered sources with no clear starting point, leading to aimless learning that never forms a complete picture.
Knowing theory but lacking practice
Following along with examples feels smooth, but when it comes to a real task, you don't know how to break the problem down.
Giving up from lack of rhythm
Learning alone makes procrastination easy. Inconsistent study sessions let knowledge slip away until you eventually quit.
Stuck with no one to help
Hitting an error or getting stuck means hours of fumbling alone, and the more you search, the more confused and discouraged you get.
When you have to handle all of that by yourself, losing discipline becomes inevitable.
But discipline doesn't come from forcing yourself to endure it — it comes from an environment designed so you can't give up.
Practical SQL for Data Analytics
That's why I built this 30-day mentorship program, focused on closing the exact gap between learning theory and getting things done.
Instead of leaving you to swim through a chaotic pile of material or pushing you to overwork, the program follows this principle:
Learn right – Learn enough – Keep rhythm – Have method
Learn with rhythm
Broken down day by day
A roadmap broken into manageable daily steps. You don't need to cram day and night — just keep the right rhythm so knowledge sinks in deeply and you don't give up midway.
Learn one, gain two
Learn how to learn anything
Instead of memorizing commands by rote, you learn how to break down and solve problems. Once you master this core thinking, you'll confidently teach yourself any tool in the future without feeling overwhelmed.
Over 60% of the time is spent on hands-on practice
On a dedicated web platform — no installation needed.
Data Practice
Build analytical reflexes through small daily problems.
Data Lab
Apply your skills to simulated enterprise data after completing the roadmap.
Throughout the 30 days, my team and I will stay close and provide 1-on-1 support whenever you're stuck — so that by the end, this skill truly belongs to you and can be applied to real work.
What mentees say about the program
The learning roadmap is split into 3 main pillars
Each pillar is designed to gradually build your capability, from fundamentals to real-world practice.
Master SQL fundamentals
From basics to advancedLearn to use SELECT, JOIN, GROUP BY, CTEs, and Window Functions through concrete analytics requirements, instead of just memorizing syntax.
Practice directly on Data Practice
100+ exercisesWrite and run SQL right in your browser, with the database already set up. Exercises closely follow each topic and gradually increase in difficulty throughout the program.
Apply SQL to analytics problems
From business question to resultPractice data cleaning, Cohort Analysis, Retention, and RFM Segmentation. After the course, keep practicing how to read systems and get familiar with domains on Data Lab.
How each day is structured
A detailed day-by-day study plan is ready for you
Daily check-ins to maintain discipline
Mentor stays close and provides 1-on-1 support when you're stuck
Exercises, feedback, and roadmap adjustments based on your own progress
Everything is already set up on the platform. You don't need to install any additional tools — just log in, study the lesson, and write SQL directly.
ROAD MAP
A 12-stage roadmap built around problems Data Analysts commonly face, moving from the business goal to the SQL statements needed to solve it.
Understand the big picture of data
Database, Server, Data System, Data Pipeline, and Data Roles
Pull the right data for a business request
SELECT, WHERE, ORDER BY, LIMIT
Turn a business question into a metric
GROUP BY, Aggregate Functions, and arithmetic operators
Clean string and date/time data
String Functions, Datetime Functions
Turn a business rule into data logic
CASE WHEN, Pivot Table
Combine data from multiple tables
JOIN, UNION
Break a complex problem into multiple steps
Subquery, CTE, Problem Solving
Analyze ranking, fluctuation, and trends
Window Functions, Time-series Analysis
Create and manage data in a Database
DDL, DML, Table, View
Inspect and clean data
Basic Statistics, Outlier, Data Cleaning
Analyze customer retention
Cohort Analysis, Retention Rate, Churn Rate
Segment customers using data
RFM Segmentation
After 30 days, you will achieve
Hands-on skills
Confidently query, clean, and process data independently with SQL.
Translate business requirements into multi-step queries (CTEs, Window Functions).
Confidently pass SQL tests and technical interviews.
Thinking & Method
Master the mindset of breaking down problems: learning to dissect an issue before writing code.
Develop logical analytical reflexes instead of memorizing commands by rote.
Build a solid self-learning method to approach any new tool (Power BI, Python) without feeling overwhelmed.
Output & Long-term value
100+ practice exercises and 3 real-world analyses (Cohort, Retention, RFM) ready for your CV.
Keep using Data Practice and Data Lab to continue training long-term.
Work confidently and bridge communication between the Business team and the Tech team.
Who is this course for?
Students & beginners
Students with no IT background who are exploring the data analytics field and want to learn SQL skills.
Working professionals switching careers
People working in Marketing, Operations, Banking, Finance, etc. at companies with complete data systems, who want to learn SQL to proactively work with data or interact more easily with the data team.
People who lack self-study discipline
People who lack discipline or struggle to self-study. The program has a mentor staying close every day to help you maintain discipline.
TUITION
100% online – flexible scheduling
Just commit 2 hours/day
30 consecutive days – with close mentor support
Limited to 15–20 people/cohort – selected by application
100% refund guarantee within 7 days – no questions asked
If you're not selected this cohort, you'll be given priority for the next one.
Over 30 days, you learn toward specific goals instead of swimming through scattered theory. I accompany you every day, keeping a manageable pace and staying close so you don't easily give up midway.
By the end, SQL should become a skill you can bring into your work, not just knowledge you've finished studying.
Refund guarantee
NO QUESTIONS ASKED within 7 days
I want you to learn with the most comfortable mindset possible! I want you to feel 100% confident joining this course, because I know you'll achieve great results after going through the program.
As long as you want a refund, I'll refund you
NO extra fees required
NO requirement to complete exercises
100% refund, no questions asked
Frequently asked questions
Feedback from learners
Who's with you throughout the program
Julie | Founder The Metric Minds
5 years of hands-on experience
Domains: Banking, Fintech, Retail at a major bank and a tech corporation.
400+ students & mentees
Supporting skill development, Data career growth, and participation in data competitions.
Business achievements at home and abroad
Won top awards as a student, applied analytical thinking and data storytelling to land her first DA job after 2 months of self-study.