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.
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Data Collection and Integration
Ce cours fait partie de Spécialisation Data Wrangling with Python
Instructeur : Di Wu
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(11 avis)
Expérience recommandée
Ce que vous apprendrez
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
Compétences que vous acquerrez
- Catégorie : Python Libraries
- Catégorie : Collect data from files
- Catégorie : Pandas
- Catégorie : Data Integration
- Catégorie : Web Scraping
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Il y a 6 modules dans ce cours
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.
Inclus
2 vidéos3 lectures1 devoir1 sujet de discussion
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.
Inclus
1 vidéo2 lectures1 devoir1 sujet de discussion
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.
Inclus
1 vidéo2 lectures1 devoir1 sujet de discussion
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.
Inclus
1 vidéo1 lecture1 devoir1 sujet de discussion
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.
Inclus
1 vidéo2 lectures1 devoir1 sujet de discussion
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.
Inclus
1 lecture1 devoir
Instructeur
Offert par
Recommandé si vous êtes intéressé(e) par Data Analysis
SkillUp EdTech
University of Michigan
University of Maryland, College Park
University of Colorado System
Pour quelles raisons les étudiants sur Coursera nous choisissent-ils pour leur carrière ?
Avis des étudiants
11 avis
- 5 stars
83,33 %
- 4 stars
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- 3 stars
8,33 %
- 2 stars
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- 1 star
8,33 %
Affichage de 3 sur 11
Révisé le 6 déc. 2023
Great course, and easy to follow along to learn the material. Great exercises and practice.
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