- Jupyter
- Web Scraping
- Data Wrangling
- SQL
- Data Analysis
- NumPy
- Data Manipulation
- Python Programming
- Data Visualization
- Data Processing
- Data Visualization Software
- Data Structures
Applied Data Analytics with Python and SQL
Completed by Lourenço Cerdeira
April 5, 2025
14 hours (approximately)
Lourenço Cerdeira's account is verified. Coursera certifies their successful completion of Applied Data Analytics with Python and SQL
What you will learn
Write Python programs using core concepts like variables, data types, and control flow.
Implement NumPy and Pandas to analyze and process large datasets efficiently and accurately.
Create insightful data visualizations with Matplotlib, Seaborn, and Plotly for effective reporting.
Execute SQL queries to retrieve, manage, and analyze data from relational databases accurately.
Skills you will gain
