The data science process is a systematic approach to solving a data problem. It provides a structured framework for articulating your problem as a question, deciding how to solve it, and then presenting the solution to stakeholders. If you want to learn more about data science courses in Mumbai then please visit Learnbay.co

1. THE DATA SCIENCE
THE DATA SCIENCE
PROCESS
PROCESS
Data collection is the
process of gathering and
measuring information on
targeted variables in an
established system, which
then enables one to answer
relevant questions and
evaluate outcomes.
Data cleaning is the
process of fixing or
removing incorrect,
corrupted, incorrectly
formatted, duplicate, or
incomplete data within a
dataset.
In statistics, exploratory
data analysis is an
approach of analyzing
data sets to summarize
their main
characteristics, often
using statistical graphics
and other data
visualization methods.
Data Collection
Data cleaning
Exploratory Data Analysis (EDA)
The concept of deployment in
data science refers to the
application of a model for
prediction using a new data.
Building a model is generally not
the end of the project.
model building
Data Visualization
Data visualization is the
representation of data through
use of common graphics, such as
charts, plots, infographics, and
even animations.
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