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
Access provided by Universidad EAFIT
148,650 already enrolled
4.7
(2,693 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
- Probability & Statistics
- Box Plots
- Statistical Visualization
- Data Visualization Software
- Data Management
- Statistical Programming
- Exploratory Data Analysis
- Data Visualization
- Statistical Inference
- Statistical Methods
- Matplotlib
- Jupyter
- Statistics
- Descriptive Statistics
- Python Programming
- Histogram
- Data Analysis
- Sampling (Statistics)
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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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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Learner reviews
4.7
2,693 reviews
- 5 stars
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3.52%
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Showing 3 of 2693
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.
SD
5
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.
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