🤷‍♀️ What are some misconceptions about data science??

When people think "data science", what do they get wrong?

What are some misconceptions about web development?

Ben Halpern ・ Jun 20 '20

#discuss #career #webdev

Inspired by @ben

Comments

[Saeed Ahmad]

Do this course and become a Data Scientist in 40 hours!!!

[Waylon Walker]

😂 How long What does it really take?

[Saeed Ahmad]

Hahaha. Just one 'small' Udemy course 😂😂😂😂

[Dave Parr]

That having super cool ai/ml features will make your product more useful/valuable/powerful than building something your users actually need to solve a real problem.

[Waylon Walker]

Ahmen, thats like strapping a big engine in a racecar with bad suspension. It's cool, but not very effective without the whole package.

[Alpha Olomi]

Thinking one can skip algorithms and go-ahead to start building models

[Waylon Walker]

Whare are some things one should understand before building models??

[amananandrai]

Data science means training machine learning algorithms.

[Waylon Walker]

What are some things that it means instead?

[amananandrai]

SQL is a major portion of data retrieval, Data retrieval, Data cleansing and Data analysis and Visualisation are some of the major parts of Data science

[Waylon Walker]

By the time you have done all of that generally you start seeing some benefit, and another project has become higher priority.

[Ben Halpern]

I think there’s a misconception that it’s sort of a magic bullet for your career or a company’s business needs or whatever.

[Waylon Walker]

Deep.

Though I do think that that it has allowed a large number of people into the SWE field. That's kind of a magic bullet.

Really though there is no magic bullet it all takes hard work!

[Jon Massey]

Statistics done by people who don't understand statistics

[spiritupbro]

ah i know this one you can analyze bitcoin data and make you rich in a second by day trading

[Waylon Walker]

😂

[Max Ong Zong Bao]

You need to have a PhD and ideally a MBA to do data science work.