C2fo Business Data Analyst Interview Questions and Answers

Q1. Asked about Sql window functions
Add your answer
Q2. Precison, Recall, Auc
Add your answer

Q1. Linear regresssion assumptions
Add your answer
Q2. Trees bagging vs boosting
Ans. 
Trees bagging and boosting are ensemble learning techniques that use multiple decision trees, but with different approaches.
• Bagging (Bootstrap Aggregating) involves training multiple decision trees independently on different subsets of the training data and then averaging the predictions. Examples include Random Forest.

• Boosting involves training multiple decision trees sequentially, with each tree correcting the errors...read more
Answered by AI
Add your answer

Q1. General personal background questions
Add your answer

Assignment containing the python coding and the pandas data analysis and statistics questions

Q1. Given the tabular data and asked to find the issues in the data and how to solve them.
Add your answer
Q2. Check if the sentence is palindrome or not.
Ans. 
Check if a sentence is a palindrome or not.
• Remove all non-alphanumeric characters and convert to lowercase.

• Compare the original sentence with its reverse to check for palindrome.

• Example: 'A man, a plan, a canal, Panama' is a palindrome sentence.
Answered by AI
Add your answer

Q1. Classical data science questions
Add your answer
Q2. Given the large dataset and asked to find the answers using pandas
Add your answer

Q1. What is the SQL query for calculating a moving average?
Ans. 
The SQL query for calculating a moving average involves using window functions.
• Use the OVER clause with the ORDER BY clause to define the window frame for the moving average calculation.

• Use the AVG() function to calculate the average within the window frame.

• Example: SELECT value, AVG(value) OVER (ORDER BY date ROWS BETWEEN 2 PRECEDING AND CURRENT ROW) AS moving_avg FROM table_name;
Answered by AI
Add your answer
Q2. What is the difference between Data Definition Language (DDL) and Data Manipulation Language (DML)?
Ans. 
DDL is used to define the structure of database objects, while DML is used to manipulate data within those objects.
• DDL is used to create, modify, and delete database objects such as tables, indexes, and views.

• DML is used to insert, update, retrieve, and delete data within those database objects.

• Examples of DDL statements include CREATE TABLE, ALTER INDEX, and DROP VIEW.

• Examples of DML statements include INSERT INTO, UP
Answered by AI
Add your answer

Q1. What is difference between delete,drop and truncate. ?
Ans. 
Delete removes specific rows from a table, drop removes entire table structure, and truncate removes all rows from a table.
• Delete is a DML command, drop is a DDL command, and truncate is a DDL command.

• Delete can be rolled back, drop cannot be rolled back, and truncate cannot be rolled back.

• Delete triggers delete triggers, drop triggers drop triggers, and truncate does not trigger any triggers.

• Example: DELETE FROM table...read more
Answered by AI
Add your answer

Q1. What are iterrators .?
Ans. 
Iterators are objects that allow sequential access to elements in a collection.
• Iterators are used to loop through elements in a collection one at a time.

• They provide a way to access elements without exposing the underlying data structure.

• Iterators have methods like next() to retrieve the next element in the collection.

• Examples of iterators include Python's iter() and Java's Iterator interface.
Answered by AI
Add your answer

Q1. Given a dataset, pandas task and commands
Add your answer
Q2. DSA round for lists,string, tuples, dictionary
Add your answer

A simple Python coding assesment - had fibonacci series and just general python questions

Q1. Probablity Question - Coin toss one
Add your answer
Q2. Statistical Significance - what it is? and how to use hypothesis testing
Ans. 
Statistical significance refers to the likelihood that a result or relationship is not due to chance.
• Statistical significance is a measure of the probability that a relationship between variables is not due to random chance.

• Hypothesis testing is a common method to determine statistical significance by comparing observed data to what would be expected by chance.

• A p-value is used to determine statistical significance, wi...read more
Answered by AI
Add your answer

Python coding round. The question will be regarding list, class and objects

Q1. Why do you want to join our company?
Ans. 
I am impressed by your company's innovative projects and collaborative work culture.
• I admire the cutting-edge technologies and projects your company is involved in.

• I value the collaborative work culture and team spirit that your company promotes.

• I believe my skills and expertise align well with the goals and values of your company.
Answered by AI
Add your answer
Q2. What is your strength?
Ans. 
My strength lies in my ability to analyze complex data sets and derive actionable insights.
• Strong analytical skills

• Ability to work with large data sets

• Experience with data visualization tools like Tableau

• Strong problem-solving skills

• Effective communication of findings to non-technical stakeholders
Answered by AI
Add your answer

MCQ based Python test, SQL, Data Analysis, Machine learning test. Each test should be cleared for further round

Client will give you Assignment question Sample and answer. Similarly you have to give answer. For me Python code , in which my role is to give machine solution with different algorithm approach and test cases with that. It is kind of prompt engineer which will trained the machine for coding