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 : )

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



Instructors: Brenda Gunderson
151,840 already enrolled
Included with
(2,716 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
- Data Visualization Software
- Data Analysis
- Statistical Visualization
- Box Plots
- Statistical Methods
- Python Programming
- Probability & Statistics
- Statistics
- Descriptive Statistics
- Matplotlib
- Histogram
- Jupyter
- NumPy
- Sampling (Statistics)
- Exploratory Data Analysis
- Data Visualization
- Statistical Analysis
- Statistical Inference
Details to know

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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 May 14, 2022
Great course to start with Statistics. Methods of data collection and their implications are explained in good detail. Good start with coding in Python visualizing data as well.
Frequently asked questions
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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