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.
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 PP Savani University
150,194 already enrolled
4.7
(2,707 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
- Statistical Analysis
- Statistical Methods
- NumPy
- Data Visualization
- Probability & Statistics
- Exploratory Data Analysis
- Statistical Visualization
- Matplotlib
- Descriptive Statistics
- Python Programming
- Histogram
- Data Visualization Software
- Jupyter
- Statistics
- Statistical Inference
- Sampling (Statistics)
- Data Analysis
- Box Plots
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
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Learner reviews
4.7
2,707 reviews
- 5 stars
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3.50%
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Showing 3 of 2707
SD
5
Reviewed on Jun 6, 2021
LV
5
Reviewed on Sep 28, 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.
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.
