The Most Powerful Crawling Technology Today: Mastering Scrapy and Selenium
For those who want to learn data science, big data, and crawling - We have prepared a variety of examples to help you quickly learn the latest and best crawling techniques available.
1,261 learners
Level Intermediate
Course period Unlimited
I opened a new lecture and will share it briefly with you~
Hello. This is Dave Lee (Janjaemi Coding).
It's been a while since I shared news about a new lecture.
This course will teach you everything from data preprocessing with Python to pandas and the latest visualization (plotly).
1. We will analyze real-world examples from beginning to end and explain related technologies, so that after taking the class, you will be able to analyze any data right away.
2. Pandas has a tricky grammar, and even if you can program it, it's not easy to use it right away. But it's not something you can do with Excel... So I've organized it so that even beginners can understand it, and so that they can use it right away with real-world examples.
3. The existing visualization technologies are very old, so they often don't work well and are not easy to express. So I will explain how to easily use the latest visualization technologies that are easy to use, useful for analysis, and pretty (I like them).
4. Here are some tips you need when doing actual data analysis in the field.
Lastly, as the number of lectures increases, some of you have asked about the order in which they should be taken . Below, I will share the order and future direction of the data analysis/science track and the full-stack track. (Data science + full-stack, isn't it great?) We are preparing to open the best lectures on Infraon.
Personally, when I open a lecture, those who feel that my lecture was helpful
Once you have that technology, it will be yours without much worry or trouble.
I think it would be really great if you felt like you could use it right away. Thank you.~~~
Data Analysis/Science Course
1. Python Introduction and Crawling Basics Bootcamp (Python and Data Collection Basics)
2. Conquering Scrapy and Selenium (Intermediate data collection skills and related IT knowledge)
3. SQL and Data Storage/Analysis Basics (Data Storage/Analysis)
4. NoSQL(mongodb) Big Data Basics (Big Data Storage/Analysis)
5. Python Data Analysis Basics (Data Analysis)
6. Machine Learning/AI Basics (Data Prediction, I am working hard on it)
Full Stack Course
1. Python and data collection (crawling) basics (Python and web, data understanding basics)
2. SQL and Data Storage/Analysis Basics (SQL Database Basics)
3. NoSQL(mongodb) Big Data Basics (NoSQL Database Basics)
4. Backend Basics and Intermediate (I am preparing hard)
5. Front-end basics and intermediate (I am preparing hard)
6. Full stack basics and clone coding (I am preparing hard)