Data Analyst Roadmap
Six phases from Excel and SQL to dashboards, projects and interviews, with weekly practice.
Notes, cheat sheets, roadmaps and project ideas for every domain. New material is added every week.
Six phases from Excel and SQL to dashboards, projects and interviews, with weekly practice.
Five phases covering a language, DSA, tools, databases, frameworks and system design.
Five phases: networking, fundamentals, web security, tools and labs, then certification.
Quick syntax for basics, joins, aggregation, window functions and dates or text.
Setup, daily workflow, branching, undoing mistakes and remotes.
OOP, data structures and databases in clear, interview-ready sections.
Networking, web security and cryptography explained simply.
Basic, intermediate and advanced projects with tools and build steps.
Complete notes: SQL, Excel, Python, Power BI and statistics, each with multiple pages and examples.
Basic, intermediate and advanced projects for a developer portfolio.
Basic, intermediate and advanced lab projects with write-ups.
Maths, Python, machine learning and deployment.
AWS, Azure and GCP from fundamentals to certification.
Linux, CI/CD, Docker, Kubernetes and Terraform.
Manual testing, Selenium and API automation.
Requirements, Agile, UML and stakeholder skills.
Most used pandas operations on one page.
Everyday commands and concepts.
Core services explained in one line each.
Commands for security beginners.
Algorithms and evaluation metrics simplified.
Probability, hypothesis testing and A/B tests.
IaaS, PaaS, SaaS, networking and security.
Test design, bug life cycle and automation basics.
Apps to build for your developer portfolio.
Set up a safe lab and document your findings.
ATS-friendly resume and profile tips.
Ready structures for common HR questions.
Ready to practise?
Try interview questions with answers, sorted by domain and level.