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
Ends soon: Gain next-level skills with Coursera Plus for $199 (regularly $399). Save now.

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



Instructors: Brenda Gunderson
152,335 already enrolled
Included with
(2,718 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
- Descriptive Statistics
- Histogram
- Probability & Statistics
- Python Programming
- Data Visualization Software
- Plot (Graphics)
- Statistics
- Sampling (Statistics)
- NumPy
- Box Plots
- Matplotlib
- Data Collection
- Data Analysis
- Statistical Inference
- Data Literacy
- Data Visualization
- Jupyter
- Seaborn
- Exploratory Data Analysis
- Statistical Analysis
Details to know

Add to your LinkedIn profile
See how employees at top companies are mastering in-demand skills

Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

Explore more from Data Analysis
Status: Free Trial
Status: Preview
Status: Free Trial
Status: Free Trial
Why people choose Coursera for their career




Learner reviews
2,718 reviews
- 5 stars
75.93%
- 4 stars
18.35%
- 3 stars
3.56%
- 2 stars
0.99%
- 1 star
1.14%
Showing 3 of 2718
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 Oct 10, 2019
Really enjoyed this course. Looking forward to the next part of the specialization. I thought the quality of the lectures was excellent and made the topic interesting and digestible

Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
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.
More questions
Financial aid available,