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Understanding and Visualizing Data with Python

In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visu...
4.7
4.7/5
(2,015 reviews)
86,408 students
Created by

9.1

Classbaze Grade®

N/A

Freshness

8.5

Popularity

9.2

Material

Understanding and Visualizing Data with Python
Platform: Coursera
Video: 8h 5m
Language: English

Best Data Analysis classes:

Classbaze Rating

Classbaze Grade®

9.1 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Popularity

8.5 / 10
We analyzed factors such as the rating (4.7/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Material

9.2 / 10
Video Score: 8.8 / 10
The course includes 8h 5m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
The average video length is 4 hours 49 minutes of 559 Data Analysis courses on Coursera.
Detail Score: 9.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

20 articles.
0 resource.
0 exercise.
10 tests or quizzes.

In this page

About the course

In this course, learners will be introduced to the field of statistics, including where data come from, study design, data management, and exploring and visualizing data. Learners will identify different types of data, and learn how to visualize, analyze, and interpret summaries for both univariate and multivariate data. Learners will also be introduced to the differences between probability and non-probability sampling from larger populations, the idea of how sample estimates vary, and how inferences can be made about larger populations based on probability sampling.

At the end of each week, learners will apply the statistical concepts they’ve learned using Python within the course environment. During these lab-based sessions, learners will discover the different uses of Python as a tool, including the Numpy, Pandas, Statsmodels, Matplotlib, and Seaborn libraries. Tutorial videos are provided to walk learners through the creation of visualizations and data management, all within Python. This course utilizes the Jupyter Notebook environment within Coursera.

What can you learn from this course?

✓ 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

What you need to start the course?

There is no prerequisite, anyone can begin this course.. This course is also great for beginners without any Data Analysis knowledge.

Who is this course is made for?

This course is suitable for beginners.

Are there coupons or discounts for Understanding and Visualizing Data with Python ? What is the current price?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $8.1 of 559 Data Analysis courses. So this course is 100% cheaper than the average Data Analysis course on Coursera.

Will I be refunded if I'm not satisfied with the Understanding and Visualizing Data with Python course?

Coursera offers a 7-day free trial for subscribers.

Are there any financial aid for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who will teach this course? Can I trust Brenda Gunderson?

Brenda Gunderson has created 3 courses that got 406 reviews which are generally positive. Brenda Gunderson has taught 95,215 students and received a 4.66 average review out of 406 reviews. Depending on the information available, we think that Brenda Gunderson is an instructor that you can trust.
Department of Statistics
University of Michigan
Brenda Gunderson received her PhD in Statistics from The University of Michigan in 1989. She has stayed on at UM and is a Senior Lecturer. She coordinates and teaches the largest undergraduate statistics course, Statistics and Data Analysis, with approximately 1800 students each term. She is also an undergraduate advisor for students electing to major or minor in Statistics. Her research focuses on Statistical Education, in particular using technology to enhance teaching and learning. Brenda received the UM Teaching Innovation Prize for her work on Infusing Technology for Guided Continuous Learning in a Large Gateway Course. She is co-investigator for a UM grant called: Enhancing Undergraduate Education through the Deployment of Quality Learning Objects. Her work on this grant led to receiving the Innovative Use of MERLOT Award (2009) and a Sloan-C Effective Practice Award (2012). She is also part of an NSF project to expand the UM E2Coach system (Expert Electronic Coaching) to students in introductory statistics courses — computer tailored communication technology allows us to provide individualized coaching and advice to students using their individual background, goals, and current standing in the course.

9.1

Classbaze Grade®

N/A

Freshness

8.5

Popularity

9.2

Material

Platform: Coursera
Video: 8h 5m
Language: English

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