Data science combines several disciplines, including statistics, data analysis, machine learning, and computer science. This can be daunting if you’re new to data science, but keep in mind that different roles and companies will emphasize some skills over others, so you don’t have to be an expert at everything.

Parsing complex xml document and transform into Pandas DataFrame
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Data Science Interview Preparation: Question 2|A SQL Database
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Day3 Interview Challenge:
Data Science Interview Questions: A Probability
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Day 4: Find maximum difference of an Array

Data Science Interview Questions: Question 4
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Machine Learning For Dummies®, IBM Limited Edition

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In order to be successful at machine learning, you need to have a strong problem solving mindset. You should be able to take almost any business challenge presented to you, break down it, and figure out how to apply machine learning to solve it.
The concepts and skills that you may need to demonstrate in an interview are above in the figure.
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What are the difference between Bar chart and Histograms?
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Danger of Statistics

"I never believe in statistics
I didn't doctor myself" Winston Churchill Said

Statistics: is deep and manipulated
Understand how to turn RAW DATA ===> Decision/Conclusion
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As a data scientist 70-80 percent of your time spending on data cleansing. If you have given data which contains special characters and you may need to avoid those special characters, what methods do you use to avoid it?
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Data Cleansing Part I
Data Science Real World Project: The battle of Neighborhoods
EPISODE 02
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Merging multiple data together
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