University of Colorado Boulder

Data Collection and Integration

This course is part of Data Wrangling with Python Specialization

Taught in English

Di Wu

Instructor: Di Wu

Included with Coursera Plus

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

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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

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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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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

Di Wu
University of Colorado Boulder
15 Courses29,139 learners

Offered by

Recommended if you're interested in Data Analysis

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