Career Transition I Pure Sciences to Data Science I Learn How I скачать в хорошем качестве

Career Transition I Pure Sciences to Data Science I Learn How I

This video will help you get a perspective on what are the key things you need to bear in mind and what is required to make a career transition/switch/jump from basic sciences to data sciences. The guest for this episode would be working for one of the top companies in the field of computational sciences i.e. Schrödinger and has training in chemistry. He completed his MSc Chemistry and followed that up with a position of a research associate in the analytical chemistry department of a Bangalore based biotech, before making the transition into data science. Sulaiman's LinkedIn Profile -   / mohammed-sulaiman-397400a3   Courses Personally Taken Up By Him 1. Learn Python - https://www.udemy.com/course/complete... 2. Python for Data Science - https://www.udemy.com/course/python-f... Course Recommended By Him https://www.coursera.org/professional... My email - namereaction2017@gmail.com Introduction 0:00 Background & Experience 01:38 Why make the transition ? 3:43 Courses & Certifications 5:30 How to decide whether to make the transition ? 10:20 Interview Process 12:40 Preparing CV 22:30 Summarizing 25:30 You can also reach me on following platforms :- Unacademy - https://unacademy.com/user/Sethi Instagram -   / reagentblues   Facebook -   / 164070694229992   Disclaimer Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as comment, news reporting, teaching, scholarship, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing. Non-profit, educational or personal use tips the balance in favor of fair use. The information provided on this channel is a public service with the understanding that Gate Chemistry makes no warranties, either expressed or implied, related to completeness, accuracy, reliability or suitability of the information. The channel disclaims liability for errors and omissions that may have crept in its content.