Syllabus

•Session 1 (1.5 hours): Introduction to Python: history, uses, and industry scope
•Session 2 (1.5 hours): Python installation & initial configuration
•Session 3 (1.5 hours): Introduction to interface and basic navigation
•Session 4 (1.5 hours): Preference settings & efficient workspace
•Session 5 (1.5 hours): Main tools & menus: functions and basic usage
•Session 6 (1.5 hours): Basic practice: creating your first project
•Session 7 (1.5 hours): Basic import & export files in Python
•Session 8 (1.5 hours): Basic file storage & project management techniques
•Session 9 (1.5 hours): Simple case study: Python application in the workplace
•Session 10 (1.5 hours): Review of basic material & understanding quiz

Enroll in This Course

Python Course — Python Beautiful Soup Web Scraping Bootcamp

Project-based Python web scraping course. Python Beautiful Soup web scraping for Data Science & Data Analysis.

What You Will Learn

Python
Web Scraping
BeautifulSoup Library
Data Mining
Web Scraping Case Studies
Why Web Scraping for Data Science
Web Scraping Portfolio Projects
Requests Library
Web Mining

Requirements

Basic Python Knowledge
Desire to Learn New Things

Description

Project-Based Learning

Beginner-friendly and project-based learning content is hard to find on the web. This course is designed for you to start from zero knowledge about Web Scraping and basic Python and Data Science knowledge to work on real-life projects and build your portfolio.

Why Web Scraping (Applications and Case Studies)

The first part of this course focuses on how web scraping is applied across various industries to generate value. Web Scraping is a tool to automate data collection or build datasets for analysis and modeling. If you want to mine data on the internet in your work or start a business using this tool, this course will provide further explanation on how to do it.

Web Scraping Process

Before diving into the details, there is a summary of how to approach web scraping. Once you understand the thought process, you will be able to handle challenging projects. It is always good to know the fundamentals before moving into the application section.

Requests & BeautifulSoup Library

These are the libraries you will learn in this web scraping course. Taught from the beginning and you do not need much Python programming skill to master them. Basic knowledge of Python is essential.

Python Pandas Library: Building DataFrames

To perform further analysis and modeling, you must build a dataset. Using the Python Pandas library, you can create DataFrames that will be used for analysis or your machine learning models.

Python Web Scraping Projects

The projects in this course contain various concepts that are key in web scraping. After these projects, you will be able to handle your own projects and solve challenges independently. You simultaneously build a small portfolio while working on these projects.

Frequently Asked Questions

Is this Python course suitable for beginners?▾

The material is structured in stages starting from basic concepts, so participants without prior experience can still follow along with instructor guidance.

What is the learning method?▾

Live online classes via Zoom with experienced instructors, hands-on practice, and session recordings that can be replayed. In-house training options are also available for companies.

Is there a final project that can be used as a portfolio?▾

Yes, each participant completes an end-to-end mini project that can be directly used as a portfolio or thesis/dissertation material.

Do you receive a certificate upon completion?▾

Yes, participants who complete the program receive an official e-certificate from Cerdas Inovasi Digital.

How do I register?▾

Click the registration button on this course page or contact our admin for schedule consultation and packages that suit your needs.

Python Course/Training