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.
Understanding and Visualizing Data with Python
Understanding and Visualizing Data with Python
This course is part of Statistics with Python Specialization
Instructors: Brenda Gunderson
150,192 already enrolled
Included with 
4.7
(2,707 reviews)
Beginner level
Recommended experience
1 hour to complete
Flexible schedule
Learn at your own pace
95%
Most learners liked this course
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
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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Build your subject-matter expertise
This course is part of the Statistics with Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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- Gain a foundational understanding of a subject or tool
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Learner reviews
4.7
2,707 reviews
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Showing 3 of 2707
LV
5
Reviewed on Sep 28, 2021
AS
5
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.
RK
4
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.
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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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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