Hurix Digital Data Scientist Interview Questions and Answers

The project involved exploratory data analysis (EDA) to gain insights and identify patterns in the data.

• Performed data cleaning and preprocessing

• Visualized data using various charts and graphs

• Identified correlations and relationships between variables

• Used statistical methods to analyze data

• Generated hypotheses for further analysis

Data science is the field of extracting insights and knowledge from data using various techniques and tools.

• Data science involves collecting, cleaning, and analyzing data to extract insights.

• It uses various techniques such as machine learning, statistical modeling, and data visualization.

• Data science is used in various fields such as finance, healthcare, and marketing.

• Examples of data science applications include fraud...read more

Python and R are programming languages commonly used in data science and statistical analysis.

• Python is a general-purpose language with a large community and many libraries for data manipulation and machine learning.

• R is a language specifically designed for statistical computing and graphics, with a wide range of packages for data analysis and visualization.

• Both languages are popular choices for data scientists and hav...read more