- Data Literacy
- NumPy
- Jupyter
- Seaborn
- Statistics
- Data Visualization Software
- Exploratory Data Analysis
- Box Plots
- Python Programming
- Sampling (Statistics)
- Probability & Statistics
- Histogram
Understanding and Visualizing Data with Python
Completed by Julio Cesar Franco Ardila
July 23, 2020
19 hours (approximately)
Julio Cesar Franco Ardila'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
