Find Interview Questions for Quantexa

Right Answer:
The different types of data distributions include:

1. Normal Distribution
2. Binomial Distribution
3. Poisson Distribution
4. Uniform Distribution
5. Exponential Distribution
6. Log-Normal Distribution
7. Geometric Distribution
8. Beta Distribution
9. Chi-Squared Distribution
10. Student's t-Distribution

Right Answer:
Some common data analysis tools and software include:

1. Microsoft Excel
2. R
3. Python (with libraries like Pandas and NumPy)
4. SQL
5. Tableau
6. Power BI
7. SAS
8. SPSS
9. Google Analytics
10. Apache Spark

Right Answer:
Clustering in data analysis is the process of grouping similar data points together based on their characteristics, without prior labels. It is an unsupervised learning technique. In contrast, classification involves assigning predefined labels to data points based on their features, using a supervised learning approach.

Right Answer:
To handle missing data in a dataset, you can use the following methods:

1. **Remove Rows/Columns**: Delete rows or columns with missing values if they are not significant.
2. **Imputation**: Fill in missing values using techniques like mean, median, mode, or more advanced methods like KNN or regression.
3. **Flagging**: Create a new column to indicate missing values for analysis.
4. **Predictive Modeling**: Use algorithms to predict and fill in missing values based on other data.
5. **Leave as Is**: In some cases, you may choose to leave missing values if they are meaningful for analysis.

Right Answer:
Regression analysis is a statistical method used to examine the relationship between one dependent variable and one or more independent variables. It is used to predict outcomes, identify trends, and understand the strength of relationships in data.

Right Answer:
SQL Server is used in programs to store, retrieve, and manage data through SQL queries. Applications connect to the SQL Server database using connection strings, allowing them to execute commands like SELECT, INSERT, UPDATE, and DELETE to manipulate data as needed.

Right Answer:
Machine learning is a branch of artificial intelligence that enables computers to learn from data and improve their performance on tasks without being explicitly programmed.

Right Answer:
To create APIs in Django, you can use Django REST Framework (DRF). Here are the steps:

1. **Install Django REST Framework**:
```bash
pip install djangorestframework
```

2. **Add 'rest_framework' to your `INSTALLED_APPS` in `settings.py`**:
```python
INSTALLED_APPS = [
...
'rest_framework',
]
```

3. **Create a Django model** (if you don't have one):
```python
from django.db import models

class Item(models.Model):
name = models.CharField(max_length=100)
description = models.TextField()
```

4. **Create a serializer for the model**:
```python
from rest_framework import serializers

class ItemSerializer(serializers.ModelSerializer):
class Meta:
model = Item
fields = '__all__'
```

5. **Create views for