Udemy - Python Fundamentals for Real Estate Bootcamp
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size1 GB
- Uploaded Byfreecoursewb
- Downloads115
- Last checkedJun. 07th '26
- Date uploadedJun. 05th '26
- Seeders 7
- Leechers6
Infohash : 3EDFC7BD2BC27D29E81117222B0C8C4B940600AF
Python Fundamentals for Real Estate Bootcamp
https://WebToolTip.com
Published 5/2026
Created by Bayfield Training
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 70 Lectures ( 2h 50m ) | Size: 1.1 GB
Python for real estate: automate analysis, build DCF models, and run advanced sensitivity beyond Excel
What you'll learn
⚡ Set up and code in Python using Anaconda and Jupyter, applying core concepts like variables, data types, loops, and operators.
⚡ Work with key libraries (NumPy, Pandas, Matplotlib, Seaborn) to clean, analyse, and visualise real estate datasets.
⚡ Build property cash flow models in Python, calculating NPV, IRR, and testing investment viability with and without leverage.
⚡ Run sensitivity analyses (simple and multi-dimensional) to evaluate how changes in assumptions affect investment outcomes.
⚡ Integrate Python with Excel using xlwings to automate workflows, extend existing models, and export results for professional reports.
Requirements
❗ No previous experience required. This is a beginner-level course,
Files:
[ WebToolTip.com ] Udemy - Python Fundamentals for Real Estate Bootcamp- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1 - Welcome Python Fundamentals for Real Estate Bootcamp
- 1. Python Bootcamp Course Outline.pdf (1.3 MB)
- 1. Welcome - Course Introduction.html (6.0 KB)
- 2. Welcome - Course Introduction.mp4 (14.2 MB)
- 3. Meet the Trainer & your support Bayfield Team.html (7.5 KB)
- 4. Useful Terminology - Python.html (5.5 KB)
- 4. Useful Terminology_Python.pdf (2.2 MB)
- 5. Further Reading & Resources.html (6.2 KB)
- 1. Test your Learning.html (19.5 KB)
- 10. Navigating Jupyter Notebook.html (8.6 KB)
- 11. Writing you first Python Script.mp4 (76.9 MB)
- 12. Writing you first Python Script.html (5.9 KB)
- 13. Writing you first Python Script.html (8.1 KB)
- 14. Writing you first Python Script.mp4 (43.4 MB)
- 15. Writing you first Python Script.html (9.3 KB)
- 16. Writing you first Python Script.mp4 (15.3 MB)
- 17. Summary.html (6.8 KB)
- 6. Why Python for Real Estate.html (5.9 KB)
- 7. Why Python for Real Estate.mp4 (42.0 MB)
- 8. Why Python for Real Estate.html (6.9 KB)
- 9. Setting up your Python Environment (Anaconda).html (8.9 KB)
- 18. Syntax and Readability.html (5.6 KB)
- 19. Syntax and Readability.mp4 (23.5 MB)
- 2. Test your Learning.html (19.7 KB)
- 20. Syntax and Readability.html (7.6 KB)
- 21. Syntax and Readability.html (6.6 KB)
- 22. Variables, Data Types and Strings.mp4 (21.7 MB)
- 23. Variables, Data Types and Strings.html (6.7 KB)
- 24. Logical Operators & Loops in Python.html (5.7 KB)
- 25. Logical Operators & Loops in Python.mp4 (29.8 MB)
- 26. Logical Operators & Loops in Python.html (7.8 KB)
- 27. Logical Operators & Loops in Python.html (5.7 KB)
- 28. Logical Operators & Loops in Python.mp4 (8.1 MB)
- 29. Logical Operators & Loops in Python.html (8.7 KB)
- 30. Hands-On Exercise.html (6.1 KB)
- 31. Hands-On Exercise.mp4 (39.0 MB)
- 32. Hands-On Exercise.html (5.9 KB)
- 33. Summary.html (7.3 KB)
- 3. Test your Learning.html (20.0 KB)
- 34. Introduction to Python Libraries.html (7.2 KB)
- 35. NumPy for Real Estate & Exercises.html (6.8 KB)
- 36. NumPy for Real Estate & Exercises.mp4 (76.9 MB)
- 37. NumPy for Real Estate & Exercises.html (7.4 KB)
- 38. NumPy for Real Estate & Exercises.html (5.9 KB)
- 38. Numpy Exercise Answers.pdf (54.6 KB)
- 39. Pandas for Real Estate & Exercises.html (6.6 KB)
- 40. Pandas for Real Estate & Exercises.mp4 (108.2 MB)
- 41. Pandas for Real Estate & Exercises.html (7.3 KB)
- 42. Pandas Exercise Answers.pdf (57.9 KB)
- 42. Pandas for Real Estate & Exercises.html (6.0 KB)
- 43. Matplotlib and Seaborn for Real Estate.html (8.0 KB)
- 44. Matplotlib and Seaborn for Real Estate.mp4 (55.5 MB)
- 45. Matplotlib and Seaborn for Real Estate.html (6.6 KB)
- 46. Matplotlib and Seaborn for Real Estate.html (5.9 KB)
- 47. Summary.html (7.3 KB)
- 4. Test your Learning.html (19.8 KB)
- 48. Exploring Real Estate Datasets with Python.html (6.4 KB)
- 49. Exploring Real Estate Datasets with Python.mp4 (143.9 MB)
- 50. Exploring Real Estate Datasets with Python.html (6.0 KB)
- 51. Exploring Real Estate Datasets with Python.html (6.4 KB)
- 52. Exploring Real Estate Datasets with Python.html (6.8 KB)
- 53. Exploring Real Estate Datasets with Python.html (9.8 KB)
- 54. Basic Financial Modelling in Python.html (6.0 KB)
- 55. Basic Financial Modelling in Python.mp4 (60.5 MB)
- 56. Basic Financial Modelling in Python.html (8.3 KB)
- 57. Building the Levered Cash Flow Model.mp4 (67.6 MB)
- 58. Building the Levered Cash Flow Model.html (7.1 KB)
- 59. Building the Levered Cash Flow Model.html (6.7 KB)
- 60. Course Files Mission Accomplished.html (6.0 KB)
- 60. Python Fundamentals Bootcamp.ipynb.bin (373.2 KB)
- 60. Python Fundamentals Bootcamp.pdf (1.1 MB)
- Day4Data.csv (1.7 KB)
- 5. Test your Learning.html (20.0 KB)
- 61. Introducing xlwings.html (6.4 KB)
- 62. Advanced Sensitivity Analysis in Python and xlwings.html (6.4 KB)
- 63. Advanced Sensitivity Analysis in Python and xlwings.html (6.1 KB)
- 63. Enhanced Data Tables in Excel using Python.ipynb.bin (45.2 KB)
- 63. Enhanced Data Tables in Excel using Python.pdf (202.4 KB)
- 63. SimpleModel.xlsx (18.9 KB)
- 64. Advanced Sensitivity Analysis in Python and xlwings.mp4 (192.9 MB)
- 65. Advanced Sensitivity Analysis in Python and xlwings.html (7.2 KB)
- 66. What's Next.html (6.7 KB)
- 67. Learn more about us.html (11.5 KB)
- 68. Bayfield 2026 Course Brochures.html (5.9 KB)
- 68. Instructor Led Courses Brochure 2026.pdf (11.7 MB)
- 68. Online Courses Brochure 2026.pdf (6.7 MB)
- 69. Bayfield Free Property Webinars.html (6.3 KB)
- 69. Webinar Brochure 2026.pdf (3.4 MB)
- 70. Disclaimer.html (6.6 KB)
- Bonus Resources.txt (0.1 KB)
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