Data Acquisition and Manipulation with Python
course

Data Acquisition and Manipulation with Python

Packt
Updated Jun 23, 2024

What you'll learn

  • See how to acquire and save different formats of data
  • Find out how to connect to a database and add information to it
  • Combine and merge data sets, and manipulate strings using Python
  • Aggregate your data and employ group-wise operations and transformations
  • Know how to download and read a web page using the BeautifulSoup package
  • Extract useful information from websites using Selenium in Python
  • Program and employ a Scrapy spider for successful web scraping
Course Description

Python, a multi-paradigm programming language, has become the language of choice for data scientists for data analysis, visualization, and machine learning..In this course, you'll start by learning how to acquire data from the web in its already "clean" format, such as in a .csv file, or a database. You'll then learn to transform this data so it's in its most useful format for analysis. After that, you'll dive into data aggregation and grouping, where you'll learn to group similar data for easier analysis purposes. From there, you'll be shown different methods of web scraping using Python. Finally, you'll learn to extract large amounts of data using BeautifulSoup, as well as work with Selenium and Scrapy. Style and Approach: In-depth content balanced with tutorials that put theory into practice. This course will give you both the understanding and the practical experience that will allow you indulge in the art of data acquisition and manipulation using Python packages.


Target Audience 

If you are a budding Data Analyst and you want to learn how to acquire, manage, and manipulate large amounts of data from the web using the Python programming language, then this is the perfect video tutorial for you.


Business Outcomes 

  • Enhance your knowledge as a data analyst by diving into the necessary tools for data acquisition and manipulation
  • Real-world, practical examples that help you wrap your head around the essential know-how for data management
  • Covers important concepts such as data wrangling and data aggregation