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Understanding the Stages of Data Science

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Understanding the Stages of Data Science

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Questions and Answers

Why is it important to declare or formulate a problem statement clearly in data science?

Your whole model and its working depend on your statement.

What is the next step after defining the problem statement in data science?

Data Collection

What is the most favorite thing for data scientists to do after formulating the motive and collecting data?

Data Cleaning

What are the various forms in which data might be found during the data collection process?

Data can be in any form i.e unstructured or structured. It might be in various forms like videos, spreadsheets, coded forms, etc. Signup and view all the answers

What is data cleaning all about?

The removal of missing, redundant, unnecessary, and duplicate data from a collection. Signup and view all the answers

Which programming languages are commonly used for data cleaning?

R and Python. Signup and view all the answers

Why is R preferred over Python in the statistical part?

R has the privilege of more than 12,000 packages. Signup and view all the answers

What is the purpose of data analysis and exploration in data science?

To analyze the structure of data, find hidden patterns, study behaviors, and visualize effects of variables. Signup and view all the answers

What is the purpose of optimization and deployment in the data science process?

To assess the model's performance, optimize it for accurate predictions, and deploy it for practical use. Signup and view all the answers

What is the process of data modeling in data science?

Building a hypothesis model with a suitable algorithm, training the model, and testing it with data. Signup and view all the answers