The Lifecycle of Data Science
The Lifecycle of Data Science
The major steps in the life cycle of Data Science project are as follows
The major steps in the life cycle of Data Science project are as follows
Problem identification
Problem identification
Domain experts and Data Scientists are the key persons in the problem identification of problem
Domain experts and Data Scientists are the key persons in the problem identification of problem
Business Understanding
Business Understanding
Understanding what customer exactly wants from the business perspective is nothing but Business Understanding
Understanding what customer exactly wants from the business perspective is nothing but Business Understanding
Collecting Data
Collecting Data
Data Collection is the important step as it forms the important base to achieve targeted business goals.
Data Collection is the important step as it forms the important base to achieve targeted business goals.
Pre-processing data
Pre-processing data
All these data are extracted and converted into single format and then processed.
All these data are extracted and converted into single format and then processed.
Analyzing data
Analyzing data
This understanding comes from analysis of data using various statistical tools available.
This understanding comes from analysis of data using various statistical tools available.
Data Modelling
Data Modelling
Data modelling is the important next step once the data is analysed and visualized.
Data modelling is the important next step once the data is analysed and visualized.
Model Evaluation
Model Evaluation
There may be changes in data while model is being evaluated or tested and the output will drastically change depending on changes in data
There may be changes in data while model is being evaluated or tested and the output will drastically change depending on changes in data
Driving insights
Driving insights
The model is used to get the insights which aid in strategic decisions related to business.
The model is used to get the insights which aid in strategic decisions related to business.
Taking a decision based on insigh
Taking a decision based on insigh
When the steps are followed properly then the reports generated in above step helps in taking key decisions for the organization.
When the steps are followed properly then the reports generated in above step helps in taking key decisions for the organization.
Model Deployment
Model Deployment
Once the model is trained with the actual data and parameters are fine tuned then model is deployed.
Once the model is trained with the actual data and parameters are fine tuned then model is deployed.
VISTA ACADEMY
VISTA ACADEMY
Upskill you career by learning
data science course in Dehradun
Upskill you career by learning
data science course in Dehradun