Luc Zio
This course is designed to teach analysts, students interested in data science, statisticians, data scientists how to analyze real world data by creating professional looking charts and using numerical descriptive statistics techniques in Python 3. You will learn how to use charting libraries in Python 3 to analyze real–world data about corruption perception, infant mortality rate, life expectancy, the Ebola virus, alcohol and liver disease data, World literacy rate, violent crime in the USA, soccer World Cup,
migrants deaths, etc.
You will also learn how to effectively use the various statistical libraries in Python 3 such as numpy, scipy.stats, pandas and statistics to create all descriptive statistics summaries that are necessary for analyzing real world data.
In this course, you will understand how each library handles missing values and you will learn how to compute the various statistics properly when missing values are present in the data.
The course will teach you all that you need to know in order to analyze hands on real world data using Python 3. You will be able to appropriately create the visualizations using seaborn, matplotlib or pandas libraries in Python 3.
Using a wide variety of world datasets, we will analyze each one of the data using these tools within pandas, matplotlib and seaborn:
Instructor Details
Courses : 4
Specification: Data visualization and Descriptive Statistics with Python 3
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5 reviews for Data visualization and Descriptive Statistics with Python 3
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| Price | $14.99 |
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| Provider | |
| Duration | 5.5 hours |
| Year | 2018 |
| Level | Intermediate |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
$14.99
Theophilus Siameh –
I am a Data Scientist with many years using Python /Big Data. The content of this course provides a rich resource to students interested in learning hands on data visualization in Python and the analysis of descriptive statistics. I will recommend this course anyone trying to come into this domain.
Arturo Quiroz–Ramirez –
Est bien organizado, me parece un buen curso para aquellos que desean entender c mo controlar las librer as para la visualizaci n de datos y estad stica de stos. Thank you very much
Varun Sharma –
Excellent course
Karl Oskar Mattsson –
As a Python developer needing a refresher to statistics this was a good course.
Tejaswini Kalra –
I needed a python course focused on data visualization and working with datasets and this course helped me in this regard.