It improves the quality of the data

It increases the dataset size

It slows down data processing

It adds noise to the data

Incorrect values

Duplicate entries

Empty cells or NULL values

Outliers

Removing outliers and errors from datasets

Encrypting sensitive information

Generating summary statistics

Creating new datasets

Fraud detection

Personalized recommendations

Predictive maintenance

Customer segmentation

All of the above

Data collection

Data analysis

Data cleaning

Data interpretation

 All of the above are steps in the data science process

C

C++

JAVA

PYTHON

Data Collection

Data Cleaning

Data Analysis

Data Encryption

The development of software applications

The extraction of meaningful insights from data

The analysis of hardware systems

The study of computer algorithms