๐Ÿ“Š Data Analyst Path

Data Analyst Path

SQL, Python, dashboards. The exact tools that get data analysts hired, in order.

Your Path

1
Learn SQL
SQL

SQLBolt / Mode

Free

SQL is the #1 skill in every data analyst job listing. Learn it first. SELECT, JOIN, GROUP BY, window functions, this alone makes you hireable.

2
Spreadsheets
Google Sheets

Google Sheets

Free

Advanced Sheets: VLOOKUP, pivot tables, array formulas, conditional formatting. Still used daily in every data team. Don't skip this, master it.

3
Python basics
Jupyter

VS Code + Jupyter

Free

pandas, matplotlib, numpy. Google Colab gives you free cloud notebooks. Python takes you from analyst to senior analyst, it's the difference maker.

4
Visualization
Tableau

Tableau Public / Looker Studio

Free

Build dashboards that tell stories. Tableau Public lets you publish and share your work publicly, instant portfolio pieces that hiring managers can see.

5
Statistics
Khan Academy

Khan Academy + Claude

Free

Understand distributions, hypothesis testing, correlation, regression. Khan Academy teaches the theory, Claude explains it in plain English when you're stuck.

6
Portfolio
GitHub

GitHub + Notion

Free

3-5 data projects with real datasets. Kaggle competitions count. GitHub for code, Notion for write-ups. Show your thinking, not just your queries.

7
AI assistant
Claude

ChatGPT / Claude

Free tiers

Debug SQL queries, explain statistical concepts, help clean messy data. AI is your always-available senior analyst who never gets tired of questions.

Your Complete Stack

SQL

SQLBolt / Mode

SQL practice. Free

Google Sheets

Google Sheets

Spreadsheets. Free

Jupyter

VS Code + Jupyter

Python & notebooks. Free

Tableau

Tableau Public

Visualization. Free

Khan Academy

Khan Academy

Statistics. Free

GitHub

GitHub + Notion

Portfolio. Free

Claude

ChatGPT / Claude

AI assistant. Free tiers

What Hiring Managers Actually Look For

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Real datasets beat toy examples

Use government open data, Kaggle datasets, or scrape something interesting. Analysing real-world messy data shows you can handle what the job actually requires.

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Tell a STORY with your analysis

Insight matters more than technique. "Sales dropped 15% in Q3 because..." is worth more than a perfect regression model with no explanation.

๐ŸŽค

Present to non-technical people

The best analysts translate numbers into decisions. Practice explaining your findings to someone who doesn't know what a p-value is. That's the real job.

๐Ÿงน

Show data cleaning skills

80% of a data analyst's job is cleaning and preparing data. Include messy-to-clean transformations in your portfolio, hiring managers know this is the hard part.

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Average Salary Range

ยฃ30-55K UK  /  $60-100K US

Mid-level data analyst. Senior analysts and those who move into data science or analytics engineering can earn significantly more. Python skills push you to the higher end.

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