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:

Talks about the project and data pipeline
Talks about web scraping basics
Shows how to scrape one blog article
Shows how to scrape all the blog articles in one category
Shows how to scrape all the blog articles in all the categories
Shows how to compute basic analytics
Shows basic design and front-end development
Shows how to setup a Flask sever
Shows how to deploy the app to Heroku
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

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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You can view and review the lecture materials indefinitely, like an on-demand channel.

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Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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