- Level Professional
- Duration 28 hours
- Course by University of Colorado Boulder
-
Offered by
About
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.
Modules
Collect Data From Files
1
Assignment
- Collect Data From Files Quiz
1
Discussions
- Collect Data from Files Exploration Exercise
2
Videos
- Course Overview
- Collect Data From Files
3
Readings
- Assessment Strategy
- Activity Strategy
- Collect Data From Files Demo
Collect Data From Web
1
Assignment
- Collect Data From Web Quiz
1
Discussions
- Collect Data from Web Exploration Exercise
1
Videos
- Collect Data From Web
2
Readings
- Collect Data From Web Demo
- Collect Data From Web Case Study
Collect Data From Database
1
Assignment
- Collect Data From Database Quiz
1
Discussions
- Collect Data from Databases Exploration Exercise
1
Videos
- Collect Data From Database
2
Readings
- Collect Data From Database Demo
- Collect Data From Databases Case Study
Collect Data From APIs
1
Assignment
- Collect Data From APIs Quiz
1
Discussions
- Collect Data from APIs Exploration Exercise
1
Videos
- Collect Data From APIs
1
Readings
- Collect Data From APIs Demo
Data Integration
1
Assignment
- Data Integration Quiz
1
Discussions
- Data Integration Exploration Exercise
1
Videos
- Data Integration
2
Readings
- Data Integration Demo
- Data Integration Case Study
Case Study
1
Assignment
- Self Reflection
1
Readings
- Case Study Assignment
Auto Summary
The "Data Collection and Integration" course is an essential offering in the Data Science & AI domain, designed to equip learners with advanced techniques for sourcing and combining data from various origins, such as files, relational databases, web pages, and APIs. Under the expert guidance of Coursera, participants will develop hands-on skills in using powerful tools and packages like Pandas, Beautiful Soup, and SQL to manage and integrate real-life datasets effectively. Covering a comprehensive curriculum over 1680 minutes, this professional-level course is ideal for those looking to deepen their data handling capabilities. Subscription options include Professional and Starter tiers, making it accessible for a wide range of learners aiming to enhance their data science expertise.

Di Wu