Overview
Curriculum
Data manipulation refers to the process of transforming raw data into a format that is more suitable for analysis and modeling. The goal of data manipulation is to clean, organize, and transform data into a usable form that can be easily consumed and analyzed. It involves a range of techniques and methods used to preprocess and organize data, making it easier to work with and analyze. This section will provide an overview of the key techniques involved in data manipulation, including indexing, slicing, filtering, and sorting. It is an important part of any data analysis or data science project due to several reasons:

Free
Login to Access the Course
100% Positive Reviews
16 Students
33 Lessons
English
Skill Level Beginner
Courses you might be interested in
In today’s data-driven world, successful digital products are not built on guesswork. They’re built on evidence. This module will walk you through the essential principles and practical techniques of online...
-
11 Lessons
$100.00
Build foundational Python skills and theory to succeed in bootcamp and practical applications.
-
11 Lessons
$100.00
Explore, visualize, and transform data to enhance analysis, handle issues, and improve modeling.
-
14 Lessons
$100.00
Transform raw data into impactful visuals using pandas, matplotlib, and seaborn for clear communication.
-
13 Lessons
$100.00