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Data Collection and Integration

This course is part of Data Wrangling with Python Specialization

Instructor: Di Wu

What you'll learn

How to utilize Python and Python packages to collect data from various sources

How to integrate data collected from various sources to a unified dataset for further processing and analysis

Skills you'll gain

Web Scraping

Extensible Markup Language (XML)

Data Import/Export

Databases

Data Manipulation

Application Programming Interface (API)

Data Processing

Data Cleansing

Query Languages

SQL

Pandas (Python Package)

Data Collection

Data Quality

Data Integration

There are 6 modules in this course

The "Data Collection and Integration" course provides students with comprehensive techniques for gathering data from diverse sources, including files, relational databases, web pages, and APIs. Participants will gain practical experience in collecting and integrating data for further processing and analysis. The course emphasizes the utilization of appropriate tools and packages, such as Pandas, Beautiful Soup, and SQL, to effectively handle real-life datasets and address data integration challenges.

Collect Data From Web

Collect Data From Database

Collect Data From APIs

Data Integration

Case Study

Explore more from Data Analysis

Framework for Data Collection and Analysis

Answering Interesting Questions with Data

Data Integration, Data Storage, & Data Migration

Data Warehouse Concepts, Design, and Data Integration