Data Analyst
Data Analyst — Practitioner
Move to Python and pandas to clean, analyze and tell your data story with impact.
You learn to manipulate data with Python and pandas, clean imperfect datasets and produce descriptive statistics. The capstone is a full analysis of a real dataset delivered through data storytelling.
Objectives
- Manipulate datasets with Python and pandas
- Clean and make imperfect data reliable
- Compute and interpret descriptive statistics
- Build a compelling data narrative for a business audience
Program
Python and pandas
- Getting started with the environment and notebooks
- DataFrame structures and data selection
- Filters, grouping and aggregations
Cleaning and preparation
- Missing values and duplicates
- Typing, formats and normalization
- Merging and enriching sources
Statistics and storytelling
- Central tendency and dispersion metrics
- Correlations and first readings
- Building a decision-oriented visual narrative
Prerequisites
Excel basics and some SQL knowledge recommended.