From the below given ‘diamonds’ dataset, extract only those rows where the ‘price’ value is greater than 1000 and the ‘cut’ is ideal. Basic Data Science Interview Questions For Freshers 1. Differentiate between Data Analytics and Data Science Aspect Data Analytics Data Science Scope Analyzin...
The world of data science is extremely fast-paced.Lifelong learning, therefore, is essential to your professional success — and, as a result, to that of your employer. Acknowledge the fast-paced nature of the field and the need for staying up to date when formulating your answer. SAMPLE A...
In data science, you analyzedatasets. Datasets consists ofcases, which are the entities you analyze. Cases are described by theirvariables, which represent the attributes of the entities. The first important question you need to answer when you start a data science project is what exactly is...
Think of this as a workbook or a crash course filled with hundreds of data science interview questions that you can use to hone your knowledge and to identify gaps that you can then fill afterwards. I hope you find this helpful and wish you the best of luck in your data science endeavor...
There are several ways to make a model more robust to outliers, from different points of view (data preparation or model building). An outlier in the question and answer is assumed being unwanted, unexpected, or a must-be-wrong value to the human’s knowledge so far (e.g. no one is ...
Q13. What is the difference between "long" ("tall") and "wide" format data? Answer by Gregory Piatetsky. In most data mining / data science applications there are many more records (rows) than features (columns) - such data is sometimes called "tall" (or "long") data. In some appl...
Use the General Binomial Probability formula to answer this question: General Binomial Probability Formula p = 0.8 n = 5 k = 3,4,5 P(3 or more heads) = P(3 heads) + P(4 heads) + P(5 heads) =0.94 or 94% Q: A random variable X is normal with mean 1020 and a standa...
Finally, in these interview questions for the data analyst’s blog, we have to understand how to carefully approach this question and answer it to the best of our ability. 56. How good are you in terms of explaining technical content to a non-technical audience with respect to data analysis...
Probability and Statistics Interview Questions for Data Science There are two companies manufacturing electronic chip. Company A is manufactures defective chips with a probability of 20% and good quality chips with a probability of 80%. Company B manufactures defective chips with a probability of 80%...
Batch and real-time processing (e.g., Apache Spark, Apache Flink) Remember, there is no wrong answer to this question. The interviewer is assessing your skills and experience. 5. How do you stay updated with the latest trends and advancements in data engineering? This question evaluates your...