This presentation gives insights into my personal journey along and highlights key strengths in each language with an explanation of why I'm learning both #R and #Python. This is a promotional webinar. I explain the growth in Business Science and key decisions shaping our new Python Course Track at Business Science University.
CHEAT SHEET LINKS:
1. Ultimate Python Cheat Sheet: https://www.business-science.io/python-cheatsheet.html
2. Ultimate R Cheat Sheet: https://www.business-science.io/r-cheatsheet.html
COURSES & PROGRAM LINKS
1. NEW Python Course (Python for Data Science Automation): https://university.business-science.io/p/python-for-data-science-automation-ds4b-101p
2. 5-Course R-Track Bundle: https://university.business-science.io/p/5-course-bundle-machine-learning-web-apps-time-series/
3. Learning Labs PRO Membership: https://university.business-science.io/p/learning-labs-pro
TABLE OF CONTENTS
00:00 R & Python: Introduction & Agenda
02:58 Growth & Changing Data Science Environment
04:47 Team Composition: R & Python Venn Diagram
07:13 My Data Science Journey: Why I'm Now Learning Python
07:28 Began learning R
11:15 Started writing open-source R software
13:00 Not all of Modeltime Ecosystem is Based in R
13:28 Problem: Deep Learning is better in Python
14:15 Solution: Modeltime GluonTS integrates Python & R
15:47 Not an Isolated Idea: R + Python gets Team Results
17:30 I began learning Python (12-months ago)
18:03 R & Python Strengths Assessment
26:10 No System will ever be Perfect (Learn Both)
26:31 Course Roadmap: Business Science University
28:14 Key Decisions for the New Python Track Courses
28:38 Which IDE? Why VSCode?
29:33 ***VSCode Demo***
31:57 What to focus on in Python Ecosystem?
33:47 The Plan: Python Track Courses
34:40 Course 1: Python for Data Science Automation (For Beginners)
37:04 ***VSCode Course Software Demo***
40:07 What's Next? (More Courses)
43:02 Recap: BSU Roadmap
44:30 Problem: Can't Cover Everything | Solution: Yes We Can, LL PRO
46:07 Special Gifts & Offers
49:17 Questions & Answers