- Sampling (Statistics)
- Jupyter
- Data Literacy
- Histogram
- Python Programming
- Exploratory Data Analysis
- Seaborn
- Descriptive Statistics
- Data Collection
- Matplotlib
- Box Plots
- Data Analysis
Understanding and Visualizing Data with Python
Completed by Ciriaco Castro Diez
April 18, 2020
19 hours (approximately)
Ciriaco Castro Diez'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
