courseraАнализ данных

Exploratory Data Analysis With Python and Pandas

Курс от Coursera

Начальный≈ 1.9 чАнглийский

О курсе

In this 2-hour long project-based course, you will learn how to perform Exploratory Data Analysis (EDA) in Python. You will use external Python packages such as Pandas, Numpy, Matplotlib, Seaborn etc. to conduct univariate analysis, bivariate analysis, correlation analysis and identify and handle duplicate/missing data. Note: 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.

Навыки, которые вы освоите

Exploratory Data Analysis Pandas (Python Package)Data Manipulation Plot (Graphics)Data Analysis Correlation Analysis Data Science NumPy Data Cleansing Data Wrangling Statistical Analysis Seaborn Data Visualization Matplotlib Python Programming

Программа курса

1 модулей · 4 учебных материалов

01Project Overview4 материалов

Practical Application via Rhyme

Project-based Course OverviewЧтение EDA With Python and PandasЛабораторная Graded Quiz: Test your Project Understanding Задание Course End Survey - We appreciate your feedback!

Учитесь у экспертов

Bassim Eledath

Data Scientist