Simple Blogging Analytics Dashboard in Python faq

star-rating
4.5
learnersLearners: 11,600
instructor Instructor: / instructor-icon
duration Duration: duration-icon

This free course teaches how to create a blogging analytics dashboard in Python by scraping a blog and building a data pipeline.

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Udemy

certificateCertificate:

No Information

languageLanguage:

English

start dateStart Date:

Self Paced

Course Overview

❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [April 29th, 2023]

This course provides an introduction to web scraping and data pipelines. Students will learn the fundamentals of web scraping, including how to break down code into functions in order to make it more modular. Additionally, students will learn how to create a manual data pipeline and create a simple dashboard in Flask. By the end of the course, students will have the skills to create a simple blogging analytics dashboard in Python.

[Applications]
After completing this course, students can apply their knowledge to create a web scraping pipeline for their own projects. They can also use the skills they have learned to create a dashboard in Flask to visualize the data they have collected. Additionally, they can use the functions they have learned to break down code into more modular pieces, making it easier to maintain and debug.

[Career Paths]
1. Data Scientist: Data Scientists use their knowledge of mathematics, statistics, and computer science to analyze large datasets and uncover insights. They use their findings to develop predictive models and algorithms that can be used to make decisions and improve business operations. Data Scientists are in high demand and the field is expected to continue to grow as more organizations rely on data-driven decision making.

2. Web Developer: Web Developers are responsible for creating and maintaining websites. They use a variety of programming languages and frameworks to create websites that are both visually appealing and functional. Web Developers must stay up to date on the latest technologies and trends in order to create the best user experience.

3. Data Analyst: Data Analysts use their knowledge of statistics and data analysis to interpret large datasets and uncover insights. They use their findings to inform decisions and develop strategies for businesses. Data Analysts must be able to communicate their findings in a clear and concise manner.

4. Business Intelligence Analyst: Business Intelligence Analysts use their knowledge of data analysis and business processes to develop strategies and solutions that can help businesses improve their operations. They must be able to identify trends and patterns in data and use their findings to develop strategies that can help businesses make better decisions.

[Education Paths]
1. Data Science Degree: Data Science is a rapidly growing field that combines mathematics, computer science, and business analytics to help organizations make better decisions. It involves the use of data-driven techniques to uncover insights and trends from large datasets. With the rise of big data, data science has become an increasingly important tool for businesses to gain a competitive edge. Data Science degrees provide students with the skills and knowledge to analyze and interpret data, develop predictive models, and create data-driven solutions.

2. Computer Science Degree: Computer Science is a field of study that focuses on the design, development, and implementation of computer systems and software. It is a broad field that encompasses a variety of topics, including programming languages, operating systems, computer networks, artificial intelligence, and software engineering. A Computer Science degree provides students with the skills and knowledge to design, develop, and maintain computer systems and software.

3. Business Analytics Degree: Business Analytics is a field of study that focuses on the use of data and analytics to improve business performance. It involves the use of data-driven techniques to uncover insights and trends from large datasets. Business Analytics degrees provide students with the skills and knowledge to analyze and interpret data, develop predictive models, and create data-driven solutions.

4. Web Development Degree: Web Development is a field of study that focuses on the design, development, and implementation of websites and web applications. It is a broad field that encompasses a variety of topics, including web design, web programming, database management, and web security. A Web Development degree provides students with the skills and knowledge to design, develop, and maintain websites and web applications.

Pros & Cons

Pros Cons
  • pros

    Excelente información

  • pros

    Great course

  • pros

    Ty walks through stepbystep

  • pros

    Very good and informative

  • pros

    Excellent knowledge

  • pros

    Creator making available

  • pros

    Simple web scraping

  • cons

    Last chapters run faster

  • cons

    Superficial for beginners

  • cons

    Prefer more expression

  • cons

    Require knowledge of GIT

Course Provider

Provider Udemy's Stats at AZClass

Discussion and Reviews

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faq FAQ for Python Courses

Q1: How do I contact your customer support team for more information?

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Q2: Can I take this course for free?

Yes, this is a free course offered by Udemy, please click the "go to class" button to access more details.

Q3: How many people have enrolled in this course?

So far, a total of 11600 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

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