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 : )

Understanding and Visualizing Data with Python

Understanding and Visualizing Data with Python
This course is part of Statistics with Python Specialization



Instructors: Brenda Gunderson
153,346 already enrolled
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2,722 reviews
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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
- Data Visualization
- NumPy
- Data Visualization Software
- Statistical Inference
- Statistics
- Python Programming
- Data Analysis
- Descriptive Statistics
- Statistical Analysis
- Exploratory Data Analysis
- Jupyter
- Histogram
- Box Plots
- Matplotlib
- Sampling (Statistics)
- Seaborn
- Plot (Graphics)
- Data Literacy
- Probability & Statistics
- Data Collection
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Reviewed on Jun 2, 2020
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.
Reviewed on May 27, 2020
This course is very good for the people who are not from programming background as everything related to the concepts is very well explained (with programming support) throughout the course

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Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
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