Schlumberger Data Analyst Interview Questions and Answers

If everyone is cheating you should also do it?

Q1. Everyhting about project..
Add your answer
Q2. Linear vs logistic regression
Ans. 
Linear regression is used for continuous variables, while logistic regression is used for binary outcomes.
• Linear regression is used to predict a continuous outcome based on one or more input variables.

• Logistic regression is used to predict the probability of a binary outcome based on one or more input variables.

• Linear regression assumes a linear relationship between the independent and dependent variables, while logist...read more
Answered by AI
Add your answer
Q3. Normalization in dbms
Ans. 
Normalization in DBMS is the process of organizing data in a database to reduce redundancy and improve data integrity.
• Normalization involves breaking down data into smaller, more manageable tables and establishing relationships between them.

• It helps in reducing data redundancy, minimizing data anomalies, and improving data consistency.

• There are different normal forms such as 1NF, 2NF, 3NF, BCNF, and 4NF, each with spec...read more
Answered by AI
Add your answer
Q4. List array difference etc
Ans. 
Array difference is finding the elements that are present in one array but not in another.
• Use set operations like difference to find elements in one array but not in another.

• Example: arr1 = ['a', 'b', 'c'], arr2 = ['b', 'c', 'd'], arr_diff = set(arr1) - set(arr2) = ['a']
Answered by AI
Add your answer

Q1. Explain your project
Ans. 
Developed a predictive model to forecast sales based on historical data
• Collected and cleaned sales data from multiple sources

• Performed exploratory data analysis to identify trends and patterns

• Built a machine learning model using regression techniques

• Evaluated model performance using metrics like RMSE and MAE
Answered by AI
Add your answer
Q2. Oops concept was asked
Add your answer

Mostly easy questions

Cheating overview like should we do it as everyone is doing