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Вернуться к Exploratory Data Analysis with Seaborn

Отзывы учащихся о курсе Exploratory Data Analysis with Seaborn от партнера Rhyme

4.6
звезд
Оценки: 71
Рецензии: 11

О курсе

Producing visualizations is an important first step in exploring and analyzing real-world data sets. As such, visualization is an indispensable method in any data scientist's toolbox. It is also a powerful tool to identify problems in analyses and for illustrating results.In this project-based course, we will employ the statistical data visualization library, Seaborn, to discover and explore the relationships in the Breast Cancer Wisconsin (Diagnostic) Data Set. We will cover key concepts in exploratory data analysis (EDA) using visualizations to identify and interpret inherent relationships in the data set, produce various chart types including histograms, violin plots, box plots, joint plots, pair grids, and heatmaps, customize plot aesthetics and apply faceting methods to visualize higher dimensional data. This course runs on Coursera's hands-on project platform called Rhyme. On Rhyme, you do projects in a hands-on manner in your browser. You will get instant access to pre-configured cloud desktops containing all of the software and data you need for the project. Everything is already set up directly in your internet browser so you can just focus on learning. For this project, you’ll get instant access to a cloud desktop with Python, Jupyter, and scikit-learn pre-installed. Notes: - You will be able to access the cloud desktop 5 times. However, you will be able to access instructions videos as many times as you want. - This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....
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1–11 из 11 отзывов о курсе Exploratory Data Analysis with Seaborn

автор: Ravi K

Apr 21, 2020

Cloud OS is way too slow. Content gives superficial knowledge.

автор: Rob O

Apr 23, 2020

This course delivers great content clearly and succinctly. If learning how to do EDA in python is your goal, then this course delivers. While emphasizing the code, this course also covers the "whys," just not at the same level of detail. This course uses a virtual machine with a split view of a notebook and the presentation and not Coursera's notebook environment. Rhyme's environment is a bit clunky, but it gets the job done. I would have liked to download my notebook once I completed the course but was unable to. Another issue that I encountered was having to restart the Rhyme environment several times, taking between 5 and 10 minutes each.

автор: Abhijit T

Apr 09, 2020

This project gives an overview of analysing data with the seaborn library of python

автор: Ashish V M

May 03, 2020

The hands on session is really helpful as it's not just a read and go thing

автор: Ujjwal K

May 10, 2020

It is good to get a refresher and learn new things in Seaborn!

автор: PATIL P R

May 15, 2020

Nice Course to enhance skill..Thanks to Team

автор: Mukund P

May 13, 2020

very informative and explained in a easy way

автор: Rishabh R

May 17, 2020

Exicting project

автор: Anees A

May 03, 2020

This course is good foundation and well managed

автор: GURUSUBRAMANI. S

May 24, 2020

Good one

автор: Rui L

May 19, 2020

A good tutorial for starters in Data Science. All knowledge taught in it is some basic.