Why is Python so widely used by data scientists? - Data Crunch

preview_player
Показать описание
Why do most companies who hire data scientist always require them to be fluent in Python? What is the advantages and disadvantages of using Python for data science? What else can Python do, besides analytics for data science?

We talk about Python programming language versus R, when it comes to the data science industry.

Data Crunch is a show, where we, from LEAD, talk about the industry ins and outs about artificial intelligence, big data, cloud computing and data science.

============

Where to follow and learn more from LEAD:

================

LEAD is an institute in Malaysia, where we provide courses in Data Science, Full Stack Web Development, Digital Marketing & Business, for individuals and corporates — so they can find better careers or to build successful businesses.

We teach career-ready skills that our students can use right away in their jobs or find a job. Rather than taking years to learn and master a subject, we have designed our courses to shortcut our students to be competent in the workspace.

So we gathered a group of experts in their fields, to teach and mentor our students. Collectively, our 15+ years in technology mentoring means you’ll get real insights & strategies from the best developers, digital marketers, and data scientists.
Рекомендации по теме
Комментарии
Автор

Hi, Dr Lau. Thanks for another informative video!

My question might not be directly related to the topic but i've practicing python for about 4-5 months now and is interested in getting a job in data science. My question is what are the essential skills for a company to consider someone without any computer science background for any data science job? Is there a particular package in python i need to know to be identified as a data scientist?

AsyraffLatiffi
visit shbcf.ru