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 Kalinga Institute of Industrial Technology
152,977 already enrolled
2,720 reviews
Beginner level
Recommended experience
Flexible schedule
1 hour to complete
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
- Box Plots
- Data Analysis
- Plotly
- Matplotlib
- Data Visualization
- Data Literacy
- Sampling (Statistics)
- NumPy
- Statistics
- Statistical Analysis
- Jupyter
- Python Programming
- Data Compilation
- Data Collection
- Probability & Statistics
- Exploratory Data Analysis
- Statistical Inference
- Descriptive Statistics
- Statistical Methods
- Data Visualization Software
- Skills section collapsed. Showing 13 of 20 skills.
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
See how employees at top companies are mastering in-demand skills
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.
- 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
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
- 5 stars
75.91%
- 4 stars
18.38%
- 3 stars
3.56%
- 2 stars
0.99%
- 1 star
1.13%
Showing 3 of 2720
MR
Reviewed on Jun 2, 2020
AS
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.
SD
Reviewed on Jun 6, 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.
Explore more from Data Science
University of Michigan
University of Michigan