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
This course is part of Statistics with Python Specialization



Instructors: Brenda Gunderson
Access provided by Jala
150,347 already enrolled
(2,710 reviews)
Recommended experience
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 Visualization
- Statistics
- Descriptive Statistics
- Box Plots
- Data Visualization Software
- Probability & Statistics
- Jupyter
- NumPy
- Matplotlib
- Statistical Inference
- Data Visualization
- Python Programming
- Sampling (Statistics)
- Exploratory Data Analysis
- Histogram
- Statistical Methods
- Statistical Analysis
- Data Analysis
Details to know

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Learner reviews
2,710 reviews
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- 4 stars18.37% 
- 3 stars3.54% 
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Reviewed on Mar 2, 2021
Reviewed on May 14, 2022
Great course to start with Statistics. Methods of data collection and their implications are explained in good detail. Good start with coding in Python visualizing data as well.
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.



