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DataScience Interview Questions & Answers Guide!!

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π˜Ώπ™–π™©π™–π™Žπ™˜π™žπ™šπ™£π™˜π™š π™„π™£π™©π™šπ™§π™«π™žπ™šπ™¬ π™Œπ™ͺπ™šπ™¨π™©π™žπ™€π™£ & π˜Όπ™£π™¨π™¬π™šπ™§π™¨ 𝙂π™ͺπ™žπ™™π™š!! ⏬⏬πŸ‘‡See More!πŸ‘‡⏬⏬

Let's understand what are Outliers!

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An outlier is an observation that is unlike the other observations. It is  rare, or distinct, or does not fit  in some way. Outliers can have many causes, such as:

Great advise on how to become a data scientist for total beginners!

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Great introduction to data science for total beginners "I wanna be a data scientist, but… how?". Where to start, and what to do step-by-step. Plus, the author gives a few recommendations for what classes to take and lists what skills are required to become a data scientist. Great visualizations too! I wish I had it a year ago. Instead, I had to go through hundreds of job postings to see what skills are required by the job market, and doing many-hours research on upvoted online courses. I found Kaggle and GitHub through my LinkedIn connections and learned them by myself (by the way, there are courses for everything). Good luck in your

Statistics free book - know your theory first πŸ’ͺ

Statistics free book - know your theory first. It's ideal for any data scientist: engineers, BI analysts, statisticians, operations research, AI and machine learning professionals, economists, data scientists, biologists, and quants, ranging from beginners to executives. It includes: Machine Learning Fundamentals and NLP Applied Probability and Statistical Science New Foundations of Statistical Science Case Studies, Business Applications Additional Topics Click Here to Download The Book!