Course Content
Introduction
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Introduction
02:09
Python. 1st Dataset. PDF files. Tika OCR. Regular Expression. Array und Function
0/5
Python. Choosing python IDE. Anaconda. Install Python.
05:38
1st Dataset. PDF files. Tika OCR. Extracting content and metadata.
08:40
Regular Expression in Python. Pattern matching in Python with RegEx.
10:33
Array und Function in Python. Add data to Array. Create function.
09:48
Python & Regular Expressions
Pandas DataFrame. Kaggle. Jupiter Notebook.
0/3
Pandas DataFrame. Two-dimensional size-mutable, tabular data structure.
09:15
Kaggle. Jupiter Notebook. Create an account. Plotting with matplotlib and seabor
11:35
Pandas & Kaggle
Independent Work Tasks. 2nd Dataset.
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2nd Dataset. Task. Data from PDF. Getting data from PDF drawings.
01:52
2nd Dataset. My solution.
05:39
GitHub. Desktop GitHub
0/1
GitHub. Desktop GitHub. Store and manage code
07:03
Big Data. Extract Data from PDF Drawings and Documents. PDF – Excel – Charts and Graphs. 📚 10 Lessons

📚 Additional materials on topics covered in the course:

LinkedIn Boiko Artem
https://www.linkedin.com/in/boikoartem/

🔎 Topics covered in this course:

  • Course Overview
  • Tools Used in this Course
  • Target Audience
  • What’s Required?
  • About me
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