Practical Data Wrangling with Pandas

About this Course

In this project, we will analyze life expectancy data by performing data wrangling & exploratory data analysis (EDA). Pandas is a powerful open source data analysis tools in python. Exploratory Data Analysis (EDA) is a process of analyzing data to gain valuable insights such as statistical summary & visualizations.

Created by: Coursera Project Network


Related Online Courses

Congratulations on reaching the Capstone Class of the Become a Sustainable Business Change Agent specialization. The class will help you apply material from the previous three classes. We have... more
As a follow-on course to \"Kalman Filter Boot Camp\", this course derives the steps of the linear Kalman filter to give understanding regarding how to adjust the method to applications that violate... more
In the last installment of the Dataflow course series, we will introduce the components of the Dataflow operational model. We will examine tools and techniques for troubleshooting and optimizing... more
This specialization covers:\\n\\n- DevOps concepts & tools and how Jenkins fits into the CI/CD Pipeline\\n\\n- Jenkins pipeline concept and how to implement it\\n\\n- Jenkins integration with Git... more
Dive into \'Business Foundations: Organizations, Planning, Finance\', this course is crafted to examine three critical pillars of business success. We\'ve distilled complex ideas into practical,... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL