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Data Acquisition and Manipulation with Python
Acquire and analyse data in different formats with the help of Python data analysis tools
This Course Includes
udemy
4.7 (5 reviews )
2h 39m 
english
Online - Self Paced
professional certificate
Udemy
About Data Acquisition and Manipulation with Python
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.
About the author
Curtis Miller
is Associate Instructor at the University of Utah, and an MSTAT student. He is currently involved in research on data analysis from statistical and computer science perspectives. Curtis has published research on policy and economic issues.
What You Will 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.