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
This course is part of Statistics with Python Specialization



Instructors: Brenda Gunderson
147,046 already enrolled
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(2,687 reviews)
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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
- Seaborn
- Scientific Visualization
- Statistical Visualization
- Data Visualization
- Sampling (Statistics)
- Matplotlib
- Data Visualization Software
- Jupyter
- Statistical Programming
- Python Programming
- Statistical Inference
- Statistical Methods
- Probability & Statistics
- Plot (Graphics)
- Statistical Analysis
- Descriptive Statistics
- Data Literacy
- Statistics
- Data Analysis
- Exploratory Data Analysis
Details to know

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2,687 reviews
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Reviewed on Jun 3, 2020
Reviewed on Jun 7, 2021
A very well explained and well-structered course. I highly recommend to those who want learn statistics along with python programming. This course majorly focuses on the visualization aspect.
Reviewed on Sep 29, 2021
I've learned so much about the Python programming as well as general statistical skills. This course also lead me to change my initial university's major from Finance to Data Science.

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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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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. If you only want to read and view the course content, you can audit the course for free.
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