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 The University of Akron
153,073 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
- NumPy
- Statistical Inference
- Data Visualization Software
- Seaborn
- Python Programming
- Data Visualization
- Data Literacy
- Histogram
- Exploratory Data Analysis
- Probability & Statistics
- Jupyter
- Data Analysis
- Box Plots
- Matplotlib
- Plot (Graphics)
- Sampling (Statistics)
- Descriptive Statistics
- Statistics
- Statistical Analysis
- Data Collection
- 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 2720
AS
Reviewed on Mar 2, 2021
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.
MR
Reviewed on Jun 2, 2020
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 : )
