
Trilhas de aprendizado
Data Analyst
Learn to collect, process, and analyze data. Start with Python and SQL, practice hands-on queries, wrangle real datasets with Pandas, visualize them with Matplotlib and Seaborn, and speed up your work with AI.
Selo da trilha
Conclua todos os cursos desta trilha para ganhar o selo.
Cursos desta trilha
- Etapa 1Iniciante~4h
Python for Beginners
Learn Python from scratch by building 8 mini-projects you run in your browser, from a tip calculator to a flashcard quiz app. No install, no signup to start, and a free certificate. Powered by Pyodide.
- Etapa 2Iniciante
SQL Basics
Master the fundamentals of SQL from scratch. Learn to query, manipulate, and design databases using PostgreSQL. Build real-world database systems through hands-on exercises and a capstone project. No prior database experience required.
- Etapa 3Iniciante
Interactive SQL Practice
Practice SQL with hands-on exercises in your browser. Write real queries against a live database, get instant feedback, and build confidence through guided challenges. No setup required - start coding immediately.
- Etapa 4Intermediário
Interactive JSON & Data Transformation
Master JSON parsing, manipulation, and transformation with hands-on exercises. Learn to navigate complex data structures, transform API responses, and build data pipelines in your browser.
- Etapa 5Intermediário
Interactive Pandas Practice
Master data analysis with Pandas through hands-on exercises. Learn to create, manipulate, filter, group, and transform DataFrames in your browser. Practice real-world data wrangling with live Python execution.
- Etapa 6Intermediário
Data Visualization with Python (Matplotlib & Seaborn)
Master data visualization using Matplotlib and Seaborn. Learn to create compelling visualizations from basic plots to advanced statistical charts. Practice with real datasets and build visualization skills for data science, analytics, and business reporting.
- Etapa 7Iniciante~3h
AI for Data Analysts
Learn how to use AI tools to transform your work as a data analyst. Discover practical techniques for SQL generation, data cleaning, building dashboards, and communicating insights. No extra coding required.

