Top 10 Data Science Myths Busted | Data Science Tips 2022 | Big Data | DSML | DS Myths vs Reality

Watch Shashank Mishra (Data Engineer III, Expedia) debunk the top 10 myths in Data Science. Join India's number one outcome-focused Data Science and Machine Learning Program now: https://www.scaler.com/data-science-c...

It’s easier now than ever before for ideas to spread around the world, including through fact-based communities like the one inhabited by data scientists. However, that doesn’t necessarily mean that every data science “fact” we hear is actually truthful.

In fact, some commonly known “facts” are little more than hearsay, misinterpretations, or, at worst, outright myths.

To counteract these kinds of data science myths, we’ll debunk the top 10 of the most common ones with real Data Science facts. We’ll also show you why it’s important to know the truth behind each myth we cover.

What is Data Science?

Data Science is a mix of different tools, algorithms, and machine learning principles to discover hidden patterns in raw data. It still continues to evolve as a promising career path for various professionals. Data Scientists are able to identify relevant questions and collect data from various data sources, segregate the information and ultimately communicate the findings in a way that boosts businesses. A career in data science is both lucrative and rewarding.

The following topics are covered in this "Data Science myths busted video"

00:00- Introduction
1:19- Are all data roles the same?
2:37- Is a Master's degree or PhD crucial?
4:33- Do you have to be a pro-coder?
5:49- Is DS only for skilled graduates?
8:24- Is DS only about predictive modelling?
9:36- Is maths crucial for DS?
11:42- Do companies hire freshers?
12:48- Is transitioning impossible?
13:43- Will DS competitions make you an expert?

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