Using Databases with Python
This course introduces students to the fundamentals of Structured Query Language (SQL) and database design for data storage. It uses SQLite3 as its database and teaches students to build web crawlers and multi-step data gathering and visualization processes. The course also covers the use of D3.js library for basic data visualization. To get the most out of this course, students should be familiar with the material covered in the first three courses of the specialization and Chapters 1-13 of the textbook. This course covers Python 3. ▼
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Course Feature
Cost:
Free
Provider:
Coursera
Certificate:
Paid Certification
Language:
English
Course Overview
❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [July 17th, 2023]
What skills and knowledge will you acquire during this course?
Students will acquire skills and knowledge in the basics of SQL, database design, storing data, data gathering, analysis, and processing. They will also learn how to use SQLite3 as a database, build web crawlers, and create multi-step data gathering and visualization processes. Additionally, students will gain knowledge in basic data visualization using the D3.js library. Familiarity with the material covered in Chapters 1-13 of the textbook and the first three courses in the specialization is required to succeed in this course.
How does this course contribute to professional growth?
This course, Using Databases with Python, contributes to professional growth by providing students with the necessary skills and knowledge to work with databases and utilize the Structured Query Language (SQL) for data storage, analysis, and processing. Additionally, the course covers web crawlers, data gathering, and visualization processes using the D3.js library. Overall, this course enhances students' proficiency in Python and equips them with valuable tools for data management and visualization in a professional setting.
Is this course suitable for preparing further education?
Yes, this course is suitable for preparing further education because it introduces students to the basics of SQL and database design, which are fundamental skills in the field of data analysis and processing. Additionally, the course covers web crawlers, data gathering, and visualization processes, which are valuable skills for further education in areas such as data science or computer science.
Pros & Cons
Technical quality: The course is well done technically, and the instructor, Charles Severance, is highly regarded as a great teacher.
Exposure to SQL: The course provides good exposure to SQL, allowing students to learn and work with databases effectively.
Overwhelming for beginners: Some students found the course overwhelming, especially if they had only recently gained a basic understanding of Python. The introduction of JSON, XML, and SQL caused a significant decrease in comprehension for these students.
Assignment and certificate issues: There were several complaints about assignment-related issues, such as assignments not being reset, lack of clarity in assignment instructions, and difficulties in resubmitting assignments. These issues affected students' ability to complete the course and obtain their certificates.
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