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.
Data Collection and Integration
Data Collection and Integration
This course is part of Data Wrangling with Python Specialization
Taught in English
Instructor: Di Wu
Included with 
Course
Gain insight into a topic and learn the fundamentals
Intermediate level
Recommended experience
28 hours (approximately)
Flexible schedule
Learn at your own pace
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
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
5 quizzes, 1 assignment
Course
Gain insight into a topic and learn the fundamentals
Intermediate level
Recommended experience
28 hours (approximately)
Flexible schedule
Learn at your own pace
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the Data Wrangling with Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
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Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance review
There are 6 modules in this course
The "Collect Data from Files" week focuses on equipping you with the necessary skills to handle various file formats, such as txt, csv, json, xml, html, and more, for effective data collection. You will learn how to read, parse, and extract relevant data from different file types, enabling you to gather valuable information from diverse sources.
What's included
2 videos3 readings1 quiz1 discussion prompt
The "Collect Data from Web" week focuses on empowering you with the skills to extract data from various webpage formats using Python libraries like requests and Beautiful Soup. You will learn how to access web pages, retrieve HTML content, and parse the data to collect relevant information effectively.
What's included
1 video2 readings1 quiz1 discussion prompt
The "Collect Data from Database" week focuses on equipping you with the skills to interact with various SQL-like databases using Python packages. You will learn how to connect to databases, execute queries, and retrieve data from different database systems, enabling you to collect and utilize data efficiently.
What's included
1 video2 readings1 quiz1 discussion prompt
The "Collect Data from APIs" week focuses on enabling you to interact with various websites that provide Application Programming Interfaces (APIs). You will learn how to access APIs, retrieve data in structured formats (e.g., JSON or XML), and utilize Python to process and extract valuable information from API responses.
What's included
1 video1 reading1 quiz1 discussion prompt
The "Data Integration" week focuses on the techniques and methodologies for integrating data collected from various sources. You will learn how to combine and merge datasets, handle data inconsistencies, and create a unified dataset for further analysis and decision-making.
What's included
1 video2 readings1 quiz1 discussion prompt
The "Case Study" week offers you the opportunity to apply the knowledge you have learned throughout the course in a practical and comprehensive case study. You will engage in data collection from various sources, including files, SQL-like databases, and web APIs, and then integrate the collected data into a unified dataset for further analysis. This week serves as a culminating activity, allowing you to demonstrate your skills in data collection, integration, and preparation for analysis.
What's included
1 reading1 assignment
Instructor
Offered by
Recommended if you're interested in Data Analysis
University of Colorado Boulder
University of Colorado Boulder
University of Colorado Boulder
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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