Never have I come across a course half as interactive as this and it was a much needed confidence booster for a beginner like me. I look forward to completing the specialization : )

Understanding and Visualizing Data with Python

Understanding and Visualizing Data with Python
This course is part of Statistics with Python Specialization



Instructors: Brenda Gunderson
Access provided by Duke University
153,364 already enrolled
2,722 reviews
Recommended experience
What you'll 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'll gain
- NumPy
- Data Literacy
- Statistical Inference
- Exploratory Data Analysis
- Probability & Statistics
- Python Programming
- Seaborn
- Statistics
- Box Plots
- Sampling (Statistics)
- Histogram
- Matplotlib
- Data Visualization
- Descriptive Statistics
- Data Analysis
- Jupyter
- Data Visualization Software
- Statistical Analysis
- Skills section collapsed. Showing 12 of 18 skills.
Details to know

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Showing 3 of 2722
Reviewed on Jun 2, 2020
Reviewed on Mar 2, 2021
20 studying hours that helps me getting back to speed on manipulating the quantitative data in Pandas with different query conditions, powerful statistics and Sampling Distributions.
Reviewed on Apr 19, 2020
Excellent high level introduction, would have like the assessment to be more challenging. The additional materials are just amazing for most of them. The notebooks to practice are also excellent.



