
Master SQL, Excel, Tableau, Power BI, and Python for data analysis. Gain practical skills through hands-on projects and build a professional portfolio to launch your career.

Learn web scraping techniques using Python, Requests, and BeautifulSoup to extract data from various websites, including real estate listings, search results, and social media platforms.

Learn to build datasets by scraping web pages using Python, Beautiful Soup, and requests. Covers HTML parsing, data extraction, and CSV exporting with pandas.

Learn to automate Chrome browser tasks, scrape web content, and perform scheduled actions using Puppeteer and Node.js in this hands-on tutorial.

Learn to scrape websites using BeautifulSoup and Python. Extract headlines, scores, or prices from HTML easily. Practical examples and code snippets included for hands-on learning.

Learn web scraping and crawling with Scrapy, covering project setup, data extraction, storage in databases, pagination handling, login automation, and bypassing restrictions on various websites.

Learn Web Scraping Using Python + BeautifulSoup In Hindi! In this course, you will learn about retrieving links and text in bs4, logging in and scraping Facebook, programs to login into Facebook, scraping friends from Facebook, and downloading images fro…

Explore how computers learn from massive data to perform tasks like spelling correction and translation, rivaling human capabilities through example-based learning.

Master building a scalable web scraping API for large-scale data collection using FastAPI and Python. Learn deployment steps, multi-core optimization, and practical implementation on Linode's cloud platform.

Learn to extract data from websites using Python, BeautifulSoup, and Scrapy. Master HTML parsing, error handling, and site crawling techniques for efficient web scraping projects.

Learn Python web scraping with Beautiful Soup: extract data from websites, download images, and gather information from various sources like college sites, Google blogs, TED talks, and e-commerce platforms.

Learn to extract and parse web data using Beautiful Soup and Python, covering tag navigation, table and XML handling, and practical scraping techniques for various websites.

Learn to extract web data efficiently using Scrapy, covering setup, spider creation, HTML parsing, CSS selectors, and practical challenges for real-world applications.

Learn to extract, process, and store web data efficiently using Scrapy. Covers basic to advanced techniques, real-world projects, and best practices for web scraping.

Learn powerful web scraping with Scrapy: master selectors, spiders, and data extraction techniques. Ideal for beginners seeking to automate data collection from websites efficiently.

Learn to integrate Selenium with Python for automated testing, including WebDriver usage, locators, PyTest, and practical applications like WhatsApp bot automation and web scraping.

Learn to extract web data efficiently using Python's Beautiful Soup library. Covers request module, library basics, and hands-on project for practical web scraping skills.

Comprehensive guide to building a data analyst portfolio through hands-on projects in SQL, Tableau, Python, and Excel, covering data exploration, visualization, cleaning, and analysis.

Learn to automate web tasks using Selenium, from basic setup to advanced scraping and budget automation projects with Python, Google Sheets integration, and email alerts.

Automate web scraping tasks using Python and RoboBrowser to log in and extract data from websites, with a focus on gift card information retrieval.

Master web scraping with Beautiful Soup 4 and Python, from basics to advanced techniques. Learn to search, filter, navigate HTML, and apply skills to real-world scenarios like finding GPU prices.