Python For Data Analysis Part 3 | Web Scraping Tutorial | Beautiful Soup & Request Library @SCALER

Video Description

This is the Part 3 of Python for Data Analysis where Sumit Shukla (Data Scientist & DSML Educator) explains about the concept of Web Scraping along with the HTML code and its structure. Check out free masterclasses by the leading industry experts here: https://www.scaler.com/events?utm_source=Youtube&utm_medium=osocial&utm_campaign=brand_scaler_events_osocial_youtube_data-analysis-with-python-module3&utm_content=YTDescription The tutorial covers the interaction between web browsers and servers, including requesting data via basic HTML structures. It delves into techniques like web scraping, understanding server responses, 'Find All' usage, and data analysis, culminating in a comprehensive overview of web development processes. Topics Covered 0:00: Introduction 1:07: Series of Operations between Web Browser and Server of Website 6:08: Making request with the Server 9:02: Structure of the basic HTML Code 10:09: Example of structure of HTML Code 13:50: Lines of Code for Web Scraping 16:49: Getting your User Agent 18:30: What is Response 200? 25:33: Using Find Al 42:44: Performing Data Analysis 44:45: Conclusion What us HTML? HTML is a language used to create web pages. It structures content on the internet by defining elements like headings, paragraphs, images, and links using tags within a document. What is Python? Python is a high-level, general-purpose programming language known for its simplicity and readability. Developed by Guido van Rossum in the late 1980s, Python has become one of the most popular and versatile programming languages. It is appreciated for its clean and concise syntax, making it easy for beginners to learn and write code effectively. Python is not limited to a specific domain; it is widely used in various fields, including web development, scientific computing, data analysis, artificial intelligence, and more. Its extensive standard library and a vast ecosystem of third-party packages, such as Pandas, NumPy, Matplotlib, and TensorFlow, make it a top choice for a wide range of applications. What is Data Analysis? Data analysis is the process of inspecting, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It plays a crucial role in various fields, including business, science, social sciences, and government. The primary goal of data analysis is to extract meaningful insights and knowledge from raw data, enabling organizations and individuals to make informed choices and predictions. Data analysis typically involves several stages: 1. Data Collection: Gathering data from various sources, including databases, surveys, sensors, and more. 2. Data Cleaning: Removing or correcting errors, inconsistencies, and missing values in the dataset to ensure data quality. 3. Data Exploration: Exploring the dataset to understand its structure, distribution, and potential patterns. 4. Data Preprocessing: Transforming and preparing data for analysis, which may include scaling, encoding, and feature engineering. 5. Data Analysis: Applying statistical and computational techniques to extract insights, identify trends, and perform hypothesis testing. 6. Data Visualization: Creating charts, graphs, and visual representations to convey results and make complex data more accessible. 7. Modeling and Interpretation: Developing predictive models or statistical models to make forecasts or draw conclusions based on the data. 8. Reporting and Communication: Communicating the findings, often in the form of reports, presentations, or visualizations, to stakeholders. ______________________________________________________________________________ About SCALER: A transformative tech school, creating talent with impeccable skills. Upskill and Create Impact. Learn more about Scaler: https://bit.ly/3uodsFO 📌 Follow us on Social and be a part of an amazing tech community📌 👉 Meet like-minded coder folks on Discord - https://discord.com/invite/ejFeksEtTq 👉 Tweets you cannot afford to miss out on - https://twitter.com/scaler_official 👉 Check out student success stories, expert opinions, and live classes on Linkedin - https://www.linkedin.com/school/scalerofficial 👉 Explore value-packed reels, carousels and get access to exclusive updates on Instagram - https://www.instagram.com/scaler_official/ 📢 Be a part of our one of a kind telegram community: https://t.me/Scalercommunity 🔔 Hit that bell icon to get notified of all our new videos 🔔 If you liked this video, please don't forget to like and comment. Never miss out on our exclusive videos to help boost your coding career! Subscribe to Scaler now! https://www.youtube.com/Scaler?sub_confirmation=1