Using Databases with Python - Edu Lowcostlivin

Course Feature

Cost

Free
Provider

Coursera
Certificate

Paid Certification
Language

English
Start Date

No Information
Learners

No Information
Duration

No Information
Instructor

Python for Everybody Specialization

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4.8

463,290 Ratings

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 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.

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Pros & Cons

Technical quality
Exposure to SQL

Overwhelming for beginners
Assignment and certificate issues

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