Why Learn R for Data Science?

30/10/2018

Data Science in Marketing

0:00

3:38

R is the language for anyone who want to play with Data. No matter who you are, a developer, a manager or an executive, you can play with data using R without much effort, Without much knowledge of development heavy programming.

Altri episodi di "Data Science in Marketing"

How sexy is Data Scientist?
4/11/2018
6:41
Where do you spend most of your time, energy and effort and how sexy is Data Scientist job?
Why Mathematics is Important for Machine Learning?
3/11/2018
4:44
In this episode I talk about where Mathematics is Important in data science.
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Why Learn R for Data Science?
30/10/2018
3:38
R is the language for anyone who want to play with Data. No matter who you are, a developer, a manager or an executive, you can play with data using R without much effort, Without much knowledge of development heavy programming.
Best Way to Learn Data Science
29/10/2018
4:51
What is the best way to learn Data Science? Where to learn from? What courses to take to learn machine learning and data science?
Why do you do what you do?
23/9/2018
5:01
Why do you want this job? Why did you choose to work in Technology? Why are you building this product? Why did you choose to start a startup? Let's talk
Ep2. Career Challenges of Non English Speakers
16/9/2018
4:51
In this episode I talk about Indian ceos in top tech companies and pain points of societies in India.
Ep.1 - Saving Data Scientists From Disappointments
8/9/2018
6:51
You learn data science to be a data scientist, But to lead data science you need to innovate. In this talk I will talk about building your career in data science.

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Un'azienda di

Why Learn R for Data Science?

Data Science in Marketing

Altri episodi di "Data Science in Marketing"

How sexy is Data Scientist?

Why Mathematics is Important for Machine Learning?

Why Learn R for Data Science?

Best Way to Learn Data Science

Why do you do what you do?

Ep2. Career Challenges of Non English Speakers

Ep.1 - Saving Data Scientists From Disappointments