Data Wrangling with Python

PYTHON

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What you’ll Learn

Description

Data is the new oil, but it comes crude. To do anything meaningful – modeling, visualization, machine learning, for predictive analysis – you first need to wrestle and wrangle with data. Data Wrangling with Python teaches you the essentials that will get you up and running with data wrangling in no time. For data to be useful and meaningful, it must be curated and refined. Data Wrangling with Python teaches you the core ideas behind these processes and equips you with knowledge of the most popular tools and techniques in the domain.

Requirements

Basic computer literacy: Familiarity with using a computer and navigating operating systems (Windows, macOS, Ubuntu) is assumed. The course starts with the basics of Python, focusing on data structures. This suggests the course is suitable for beginners with no prior Python experience.

Modules in this Course

Module 1: Introduction to Data Structure using Python

− Python for Data Wrangling

− Lists, Sets, Strings, Tuples, and Dictionaries

− Advanced Data Structures

− Basic File Operations in Python

− NumPy Arrays

− Pandas DataFrames

− Statistics and Visualization with NumPy and Pandas

− Subsetting, Filtering, and Grouping

− Detecting Outliers and Handling Missing Values

- Concatenating, Merging, and Joining

- Useful Methods of Pandas

- Using NumPy and Pandas to Calculate Basic Descriptive

- Statistics on the DataFrame

− Reading Data from Different Text-Based (and Non-Text-Based) Sources

− Introduction to BeautifulSoup4 and Web Page Parsing

− Advanced List Comprehension and the zip Function

− Data Formatting

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