Home › Big Data › 300+ Big Data Interview FAQs › Archive for Big Data – 13: Analytics & Science
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01: Q01 – Q07 General Big Data, Data Science & Data Analytics Interview Q&As

Q01. How is Big Data used in industries?
A01. The main goal for most organisations is to enhance customer experience, and consequently increase sales. The other goals include cost reduction,

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02: Cleansing & pre-processing data in BigData & machine learning with Spark interview Q&As

Q1. Why are data cleansing & pre-processing important in analytics & machine learning?
A1. Garbage in gets you garbage out. No matter how good your machine learning algorithm is.

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03: Simple Linear Regression interview Q&As

Q01. What is a gradient? A01. In algebra we can represent a straight line with: y = mx + c A parabola is represented as: y = m1x2 + m2x...

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04: Residuals, Cost/Loss functions, R-squared & Gradient Descent interview Q&As

Q01. What do you understand by the terms mean, variance, and standard deviation of the sample Vs. the population? … Read more ›...

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05: Linear regression outputs, null hypothesis, t-test & p-value interview Q&As

Q1. How do you produce & interpret Linear Regression output? A1. Scatter plots can only detect obvious relationships between variables by looking at the graph, … Read more ›...

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What do data analysts, engineers & scientists do?

Data Analysts, Engineer & Scientist

In addition to the Data Analysts, the Data Engineers & Data Scientists must have the below know-hows.

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