Data Analyst

The journey

1. What you learn

   1. Framing a question before touching the data
   2. Cleaning, joining, and validating real datasets
   3. Querying with SQL and analyzing in Python or a spreadsheet
   4. Communicating findings clearly to non-technical stakeholders

2. What you will understand

   1. Descriptive statistics and distributions
   2. Joins, aggregations, and window functions in SQL
   3. Bias, sampling, and data quality
   4. Choosing the right chart for the question

3. What you will build

   1. A cohort analysis that explains a change in a key metric
   2. A dashboard that answers a recurring stakeholder question
4. 1. The proof you build

      Evidence that you can take an open question, work real data responsibly, and deliver a defensible, well-communicated answer.

      See how proof works