Fintech, Machine Learning, R programming, Tech

IIM Fintech Lecture – Indian Institute of Management – Bangalore

In this course I cover the following. I’m flexible with the students’ level of participation in step 5 (ML). Depending on their background and goals, students may choose not to program or actively program in R and/or Python.

0) How much ‘Fin’ and how much ‘Tech’?

1) Banking industry and how it’s reluctance to innovate/adopt led to Fintech. Banks! You can’t bank on them.

2) The ultra-personalisation of financial services through technology – the driver behind Fintech

3) Case Studies – Peer-to-peer lending, Crypto-currencies, Robo-advisers, online-only digital banks

4) My Money Karma

5) Machine Learning using R (or Python)

Career Management, Entrepreneurship, Machine Learning, Tech

The 10 most in-demand skills of 2019, according to LinkedIn

I don’t like it, but the four of the 6 top skills required are IT skills! Please read on. Analytical reasoning is not exclusive to IT and I haven’t considered it as an IT only skill! Others are.

1) Cloud Computing
2) Artificial Intelligence
3) Analytical Reasoning
4) People Management
5) UX Design
6) Mobile Application Development

Click the URL and read on……

The 10 most in-demand skills of 2019, according to LinkedIn