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.
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 Talisis University
153,201 already enrolled
2,722 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
- Matplotlib
- Histogram
- Statistics
- Descriptive Statistics
- Data Literacy
- Data Analysis
- Seaborn
- Data Visualization Software
- Data Visualization
- Exploratory Data Analysis
- Statistical Analysis
- Data Collection
- Probability & Statistics
- Sampling (Statistics)
- Plot (Graphics)
- Statistical Inference
- Box Plots
- NumPy
- Jupyter
- Python Programming
- Skills section collapsed. Showing 11 of 20 skills.
Details to know
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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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Showing 3 of 2722
AS
Reviewed on Mar 2, 2021
SR
Reviewed on Oct 5, 2020
Very clearly explained each and every topic. Though understanding all the concepts at first is not possible if you got through the videos twice or thrice than you definitely get the concepts
SV
Reviewed on Aug 24, 2020
The course is very well structured. Teaching and links to related articles help us understand the concepts better. Jupyter notebook based python learning is very comfortable and easy to use.
