R & Python: The Future of Data Science

R & Python: The Future of Data Science

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R & Python: The Future of Data Science
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