Simple Blogging Analytics Dashboard in Python
Simple Blogging Analytics Dashboard in Python, available at Free, has an average rating of 4.8, with 10 lectures, based on 184 reviews, and has 17091 subscribers.
You will learn about Understand the basics of web scraping Understand how to setup a manual data pipeline Learn how to modularize code into functions See how to setup a basic dashboard in Flask This course is ideal for individuals who are Beginner to advanced software developers interested in data engineering It is particularly useful for Beginner to advanced software developers interested in data engineering.
Enroll now: Simple Blogging Analytics Dashboard in Python
Summary
Title: Simple Blogging Analytics Dashboard in Python
Price: Free
Average Rating: 4.8
Number of Lectures: 10
Number of Published Lectures: 10
Number of Curriculum Items: 10
Number of Published Curriculum Objects: 10
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- Understand the basics of web scraping
- Understand how to setup a manual data pipeline
- Learn how to modularize code into functions
- See how to setup a basic dashboard in Flask
Who Should Attend
- Beginner to advanced software developers interested in data engineering
Target Audiences
- Beginner to advanced software developers interested in data engineering
This video series will walk through building a simple blogging analytics dashboard in Python.
Here is a synopsis of each video:
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Talks about the project and data pipeline
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Talks about web scraping basics
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Shows how to scrape one blog article
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Shows how to scrape all the blog articles in one category
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Shows how to scrape all the blog articles in all the categories
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Shows how to compute basic analytics
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Shows basic design and front-end development
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Shows how to setup a Flask sever
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Shows how to deploy the app to Heroku
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Explores further improvements to the pipeline
Everything in the project is done manually to show the steps between. I plan to upload a 2nd version that shows how to automate the entire pipeline.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: Web Scraping Basics
Lecture 3: Scraping One Page
Lecture 4: Scraping One Category
Lecture 5: Scraping All Categories
Lecture 6: Computing Analytics
Lecture 7: Design & Front-end Development
Lecture 8: Flask Server
Lecture 9: Heroku Deployment
Lecture 10: Next Steps
Instructors
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Ty Shaikh
Curriculum Engineer at K2 Data Science
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 7 votes
- 3 stars: 24 votes
- 4 stars: 74 votes
- 5 stars: 75 votes
Frequently Asked Questions
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