Information Technology
Hands on Training icon
Hands On Training
Hands on Training icon

Data Manipulation with Python

Course Cover
compare button icon

Course Features

icon

Duration

16 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Mobile, Desktop

icon

Language

English

icon

Subtitles

English

icon

Level

Beginner

icon

Teaching Type

Self Paced

icon

Video Content

16 hours

Course Description

Data in real life is messy. Pandas libraries are valuable because they make it easy to organize data. Pandas makes data manipulation easy by allowing you to extract, filter, and transform data in DataFrames. This allows for fast and reliable data analysis. This is the right track to help you improve your data wrangling abilities. As you learn to use pandas to create multiple DataFrames, you will also be able to analyze real-world data. Additionally, you will get hands-on experience in creating visualizations, merging, and combining data. You'll use your newly acquired data manipulation skills to analyze how weather and gender affect police behavior at the end of this track. This track will teach you how to save time when manipulating data with pandas.

Course Overview

projects-img

Virtual Labs

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Data Wrangling

Learn about creating visualizations, merging, and combining data

Course Instructors

Richie Cotton

Curriculum Architect at DataCamp

Richie is a Learning Solutions Architect at DataCamp. He has been using R since 2004, in the fields of proteomics, debt collection, and chemical health and safety. He has released almost 30 R package...

Maggie Matsui

Curriculum Manager at DataCamp

Maggie is a Curriculum Manager at DataCamp. She holds a Bachelor's degree in Statistics and Computer Science from Brown University, where she spent lots of time teaching math, programming, and statis...

Aaren Stubberfield

Manager, Supply Chain Analytics @ Ingredion Incorporated

Manager of Supply Chain Analytics, with over 7 years of experience analyzing data to find insight for business related questions. I am responsible Supply Chain related Analytics for the NA business f...

Kevin Markham

Founder of Data School

Kevin is the founder of Data School, an online school for learning data science with Python. He is passionate about teaching people who are new to the field, regardless of their educational and profe...
Course Cover