- Python Programming
- Data Visualization Software
- Statistics
- Jupyter
- Data Visualization
- Statistical Methods
- Sampling (Statistics)
- Matplotlib
- Histogram
- Box Plots
- Statistical Analysis
- Data Analysis
Understanding and Visualizing Data with Python
Completed by Miguel Ângelo Lexim Rouçado Oliveira Costa
January 25, 2021
19 hours (approximately)
Miguel Ângelo Lexim Rouçado Oliveira Costa's account is verified. Coursera certifies their successful completion of Understanding and Visualizing Data with Python
What you will learn
Properly identify various data types and understand the different uses for each
Create data visualizations and numerical summaries with Python
Communicate statistical ideas clearly and concisely to a broad audience
Identify appropriate analytic techniques for probability and non-probability samples
Skills you will gain
