Career · Data AnalyticsBecome a data analyst — in 30 days from zero.
AI builds your path from 'I've never written a formula' to job-ready: Excel for analysis, SQL for databases, a portfolio project that proves your skills, and interview prep that gets you hired — even as a career changer.
30
day learning path
Excel + SQL
tools covered
1 complete
portfolio project
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$39.00
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Instant delivery to your emailThe Problem
You want a career in data. You don't know where to start.
There are 500 'become a data analyst' courses online and they all take 6 months
Bootcamps want $10,000. YouTube playlists have no structure. You've opened 12 tabs and closed them all.
You think you need a CS degree, advanced math, or years of experience
Entry-level data analysts use Excel, SQL, and common sense. Not calculus, not machine learning, not a PhD.
Your current job offers less growth than you want
Analytics roles are widely posted and often remote, and pay varies a lot by market, company and prior experience. What the 30 days give you is the foundation and a project — what you earn depends on the search that follows.
You don't know which skills actually matter vs. what sounds impressive
Python, R, Tableau, Power BI, SQL, Excel, statistics — you can't learn all of it. But you don't need to.
What You Get
From zero to job-ready — in 30 days.
4-Week Career Curriculum
Excel, SQL, analysis, and portfolio — the exact skills job postings require.
Real Dataset Exercises
Practice on real sales, customer, and marketing data — not toy examples.
Portfolio Project Builder
A complete analysis project that proves your skills to employers.
Interview Prep Kit
Top 10 questions, SQL tests, case studies, and career-change scripts.
Skill Lessons on Demand
Deep dives on pivot tables, JOINs, GROUP BY, or any skill you need.
Daily Study Plan
45-90 min/day with clear deliverables each session — no guessing.
How It Works
From 'I don't know SQL' to 'I got the job.'
1
Tell AI your background and goals
Current role, skills, learning time, and what kind of analyst you want to be.
~5 minutes2
Get your 30-day curriculum and start learning
Week 1: Excel. Week 2: SQL. Week 3: real analysis. Week 4: portfolio + job prep.
45-90 min/day3
Build your project and start applying
Complete your portfolio project, prep for interviews, and apply to 5 jobs.
Day 301
portfolio project that shows you can do the work — the foundation employers ask to see
30 days
from zero to job-ready
2 skills
Excel + SQL that get you hired
1 project
that proves you can do the job
Questions
Everything you need to know.
Can I really become a data analyst in 30 days with no experience?
You can become job-ready in 30 days — meaning you have the core skills (Excel analytics and SQL), a portfolio project that demonstrates them, and the ability to pass an entry-level interview. 'Job-ready' doesn't mean 'senior analyst.' It means you qualify for entry-level and junior roles, which is where everyone starts. The 30 days give you the foundation. The first 6 months on the job give you the experience.
Do I need to know Python, Tableau, or statistics?
Not for your first job. Entry-level data analyst postings overwhelmingly require Excel and SQL. Python and Tableau are 'nice to have' that you learn on the job or add later. Statistics at a basic level (averages, percentages, trends) is useful but you already know more than you think from everyday life. The course focuses on what gets you hired FIRST, not what makes you an expert eventually.
I'm 35/40/45 — am I too old to switch careers?
No. Career changers are actually preferred by many hiring managers because they bring domain expertise. A former retail manager who can also do SQL is more valuable than a 22-year-old who only knows SQL — because the retail manager understands the business questions. The AI identifies your transferable skills and helps you position your experience as an advantage in interviews.
What kind of companies hire entry-level data analysts?
Every kind. Retail chains, hospitals, banks, marketing agencies, nonprofits, insurance companies, government agencies, startups, and yes, tech companies. Data analysts are needed everywhere there's data — which is everywhere. The course helps you target industries where your existing experience gives you an edge. A former teacher applying to an education analytics role has a massive advantage.
How does the portfolio project work?
The Portfolio Project Builder guides you through a complete analysis: you pick a real public dataset, ask a business question, analyze the data using Excel and SQL, create charts showing your findings, and write a summary with recommendations. It takes 3-5 hours total. You then put it on a simple portfolio site (the AI helps set this up free). This single project is what gets you interviews because it shows you can do the actual work, not just pass a test.
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