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Bhagesh Hunakunti
In this 1-hour long project-based course, you will create a simple pipeline to automate the process of Job search using Python and Selenium. Find the right set of specific tools & skills you need to learn to fill in the gaps of knowledge to have higher...
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In this 1-hour long project-based course, you will create a simple pipeline to automate the process of Job search using Python and Selenium. Find the right set of specific tools & skills you need to learn to fill in the gaps of knowledge to have higher chances of getting hired and identify the current Job openings and the roles for the subject area of your choice using various visualization techniques from the generated data. While searching for a new role It becomes laborious to continually check each website to see what new roles have been posted since there are so many different websites, which list different jobs and at different times. Individuals end up relying on advertisements and do not reach the 50th or even the 10th page of Job search portals hence missing out on an opportunity which could have been in line with their expectations. In this project, we will learn to tackle these issues by scraping multiple pages and visualize this large dataset in one space and gain insights into the current job market.
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Well-suited for students who lack experience in software engineering and are looking to automate the job search process
Taught by Bhagesh Hunakunti, who is recognized for his work in software engineering
Develops foundational skills in Python and Selenium, which are core tools for automating job searches
Provides hands-on practice through a project-based approach to learning
Covers various visualization techniques to analyze the generated data, which can be beneficial for understanding job market trends
May require learners to have some prior knowledge of Python and Selenium

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Reviews summary

Job search automation with python

This course teaches how to automate job searching, giving learners insight into the job market and job application process. Reviews for the course are mixed with some students finding value in the materials and others having difficulty understanding the course content Students who enjoyed the course appreciated the step-by-step guidance and found the course to be useful for beginners. Students who did not enjoy the course found the material to be confusing and did not find the course helpful for learning Selenium.
Good for beginners.
"This was one of the better guided projects I've done here!"
Confusing material.
"The automation part was poorly explained"
Limited Selenium instruction.
"I wanted to learn Selenium ... this course was not helpful in understanding Selenium features at all."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Research job opportunities with Selenium and Python with these activities:
Create a list of resources on job search automation
Build a valuable resource for yourself and others by compiling a list of helpful materials on job search automation.
Browse courses on Resources
Show steps
  • Search for articles, tutorials, and books on job search automation
  • Organize the resources into a list
  • Share the list with others
Read 'Automate the Boring Stuff with Python'
Expand your Python knowledge by reading a book that provides practical guidance on web scraping and automation.
Show steps
  • Read Chapter 12: Web Scraping
  • Complete the exercises in Chapter 12
  • Apply the techniques to a real-world web scraping project
Practice using Selenium and Python for web scraping
Reinforce your understanding of Selenium and Python by completing hands-on exercises that involve web scraping.
Browse courses on Selenium
Show steps
  • Find a website to scrape
  • Write a Python script to scrape the data
  • Verify that the scraped data is accurate
Two other activities
Expand to see all activities and additional details
Show all five activities
Create an automated job search using Python and Selenium
Get hands-on experience using the technologies covered in this course by creating a simple job search automation script.
Browse courses on Python
Show steps
  • Set up your Python and Selenium environment
  • Identify the elements on the job search website you want to scrape
  • Write the Python code to scrape the data
  • Visualize the data to gain insights into the current job market
Attend a tech meetup or conference focused on job search automation
Connect with like-minded individuals, learn about the latest trends, and expand your knowledge by attending industry events.
Browse courses on Networking
Show steps
  • Find a meetup or conference that aligns with your interests
  • Register for the event
  • Attend the event and participate in discussions
  • Follow up with new connections after the event

Career center

Learners who complete Research job opportunities with Selenium and Python will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts use their analytical prowess to help companies make data-driven decisions. By understanding the company's needs and automating the process of extracting information from job boards using skills learned in this course, you can help your company improve its business processes.
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. This course teaches you how to automate tasks using Selenium and Python, which are valuable skills for a Data Engineer.
Data Scientist
Data Scientists use their expertise in math and statistics to solve complex problems. Using the skills taught in this course, you can help to streamline the data collection process, giving you more time to focus on analysis.
Front-End Developer
Front End Developers are responsible for the design and implementation of websites and web applications. The skills you will learn in this course, such as web scraping, can be beneficial for a Front End Developer.
Full-Stack Developer
Full Stack Developers are responsible for both the front end and back end of websites and web applications. This course teaches you how to automate tasks using Selenium and Python, which are useful skills for a Full Stack Developer.
Information Security Analyst
Information Security Analysts protect computer systems and networks from unauthorized access. The skills you will learn in this course, such as web scraping, can be beneficial for an Information Security Analyst.
Software Engineer
Software Engineers design, develop, and maintain software systems. The skills you will learn in this course, such as web scraping, can be beneficial for a Software Engineer.
Systems Analyst
Systems Analysts help companies improve their business processes. The skills you will learn in this course, such as web scraping, can be beneficial for a Systems Analyst.
Web Developer
Web Developers design, develop, and maintain websites. The skills you will learn in this course, such as web scraping, can be beneficial for a Web Developer.
Business Analyst
Business Analysts help companies improve their business processes. The skills you will learn in this course, such as web scraping, can be beneficial for a Business Analyst.
Data Management Analyst
Data Management Analysts help companies manage their data effectively. The skills you will learn in this course, such as web scraping, can be beneficial for a Data Management Analyst.
Database Administrator
Database Administrators are responsible for the maintenance and performance of databases. The skills you will learn in this course, such as web scraping, can be beneficial for a Database Administrator.
IT Auditor
IT Auditors help companies ensure that their IT systems are operating in accordance with regulations. The skills you will learn in this course, such as web scraping, can be beneficial for an IT Auditor.
IT Consultant
IT Consultants help companies improve their IT systems. The skills you will learn in this course, such as web scraping, can be beneficial for an IT Consultant.
Network Administrator
Network Administrators are responsible for the maintenance and performance of computer networks. The skills you will learn in this course, such as web scraping, can be beneficial for a Network Administrator.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Research job opportunities with Selenium and Python.
Focusing specifically on web scraping with Python, this book provides practical guidance on extracting data from websites efficiently. It covers various techniques and tools, making it a valuable resource for mastering web scraping.
Provides clear guidance on the Selenium WebDriver framework, significantly aiding in understanding how to use Selenium. It serves as a valuable reference for testing web applications with Selenium and Java.
This comprehensive guide provides an in-depth understanding of regular expressions, an essential tool for web scraping and data extraction tasks. It offers a solid foundation for working with regular expressions effectively, enhancing the course's coverage of web automation techniques.
Providing a deep dive into the Python Data Analysis Library, this book helps readers develop expertise in managing and analyzing large datasets efficiently. It complements the course by expanding on data analysis concepts.
Offers a solid foundation in data science principles and algorithms, using Python as the primary language. It provides a comprehensive overview of the field, complementing the course's focus on practical automation.
This comprehensive guide to machine learning and deep learning with Python offers a deeper understanding of these concepts. While not directly related to web automation, it provides a valuable foundation for those interested in exploring advanced topics in data science and AI.
Providing a comprehensive overview of Python automation, this book serves as an excellent starting point for those looking to build a solid foundation in automation using Python. The clear and accessible explanations make it suitable for beginners.
Provides a practical introduction to deep learning with Python. Although not directly related to the course, it offers a great overview of deep learning techniques and their applications, potentially inspiring learners to explore this field further.

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