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Accenture Data Scientist Interview Questions!

1st round-

Technical Round

- 2 SQl questions based on playing around views and table, which could be solved by both subqueries and window functions.

- 2 Pandas questions , testing your knowledge on filtering , concatenation , joins and merge.

- 3-4 Machine Learning questions completely based on my Projects, starting from
Explaining the problem statements and then discussing the roadblocks of those projects and some cross questions.

2nd round-

- Couple of python questions agains on pandas and numpy and some hypothetical data.

- Machine Learning projects explanations and cross questions.

- Case Study and a quiz question.

3rd and Final round.

HR interview

Simple Scenerio Based Questions.

Data Science Resources
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JOINS

Definition

Joins in MySQL allow you to retrieve data from two or more tables based on a related column. They are used to combine rows from multiple tables.

Types of Joins

1. INNER JOIN:
- Returns rows where there is a match in both tables.
- Syntax:

            SELECT columns
            FROM table1
            INNER JOIN table2
            ON table1.column = table2.column;
            

- Example:

            SELECT employees.name, departments.name
            FROM employees
            INNER JOIN departments
            ON employees.department_id = departments.id;
            

2. LEFT JOIN (OUTER JOIN):
- Returns all rows from the left table and matching rows from the right table. Non-matching rows have NULL.
- Example:

            SELECT employees.name, departments.name
            FROM employees
            LEFT JOIN departments
            ON employees.department_id = departments.id;
            

3. RIGHT JOIN (OUTER JOIN):
- Returns all rows from the right table and matching rows from the left table. Non-matching rows have NULL.
- Example:

            SELECT employees.name, departments.name
            FROM employees
            RIGHT JOIN departments
            ON employees.department_id = departments.id;         

4. FULL OUTER JOIN:
- Returns all rows from both tables, matching where possible. Not natively supported in MySQL, but can be simulated using UNION.
- Example:

            SELECT employees.name, departments.name
            FROM employees
            LEFT JOIN departments
            ON employees.department_id = departments.id
            
            UNION
            
            SELECT employees.name, departments.name
            FROM employees
            RIGHT JOIN departments
            ON employees.department_id = departments.id;

5. CROSS JOIN:
- Returns the Cartesian product of both tables.
- Example:

            SELECT employees.name, departments.name
            FROM employees
            CROSS JOIN departments;

Interview Questions

1. What is the difference between INNER JOIN and OUTER JOIN?
- INNER JOIN only includes rows with matches in both tables, while OUTER JOIN includes unmatched rows.
2. How can you simulate a FULL OUTER JOIN in MySQL?
- Use UNION of LEFT JOIN and RIGHT JOIN.
3. What is a Cartesian product, and when does it occur?
- A Cartesian product occurs in a CROSS JOIN or when no ON condition is specified, resulting in all possible row combinations.

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