how would you design a wireless network including wireless security for this office building?
Data Consultant Interview Questions
1,905 data consultant interview questions shared by candidates
Given this set of relevant variables, what might you do to try to predict this variable of interest?
Apart from technical aspect they asked me about the reason for choosing Capgemini?
Why do you need a change?
Data experience, tech stack, customer facing experience
Avez-vous participé au développement commercial lors de vos expériences passées ?
From the very beginning, I was asked to share my screen and open excel. 1) Write 1 to 5 and calculate the std. deviation without using default functions. What is std. deviation. 2) Explain Type 1 and Type 2 Errors - If one has cancer but predicted as not cancer.- Which type of error is this? 3) Using first three columns of the given data, derive the last column(Total Salary) using SQL queries as well as pandas. data = """EID Month Salary Total Salary 1 1 10000 10000 1 2 12000 22000 1 3 14000 36000 2 1 16000 16000 2 2 18000 34000 2 3 20000 54000""" 4) Central Limit Theorem 5) 4 basic assumption of Linear Regression 6) If there are 10k obs. out of which 500 observations is for 1: defaulter for loans and 9500 observation for non- defaulters for loans for target variable, so whenever we are doing 70:30 train test split, it is observed that the data is training on non-defaulters so how to mitigate it? How to handle before train-test split? (Hint: Strata(Stratification), dont say SMOTE/RandomOverSampler/class_weight) 7) What should be the correct evaluation metric for the above? 8) Feature Scaling - Which model work with feature scaling and which model cant work on feature scaling? Linear Regression/Decision Tree ? 9) What is Stationarity in Time Series Forecasting.
Q: some problems that data faces Q: tell me about a time you worked well under pressure Q: what about the role interests you Q: what do you know about Kubrick Q: tell me about what you did at university and your experiences afterwards
Pourquoi consultant? Pourquoi dans le numérique? Pourquoi chez mc2i?
Case study to build a churn prediction model
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