When we talk about data science, it is not about making complicated models, exquisite visualizations, or writing code. Data science is about using data to create as much impact as possible for a company.
Now, the impact can be in the form of multiple things like insights, data products or product recommendations for a company. Data science is used across various industries already. With the advancements in predictive modeling, data scientists can help predict the outcomes of a particular disease given the historical data of the patients.
With data science, financial organizations can manage their resources and make smarter decisions through fraud detection.
Stages involved in Data Science?1.Defining the Problem
2.Obtaining the Data
3.Scrubbing/Cleaning the Data
4.Exploratory Data Analytics
5.Data Modeling
6.Data Visualisation
This section discussed with following aspects
A) ? Why is Data Science important for businesses
? What makes a data science job so desirable
? What is the future scope for Data Science
? Why is Data Science Important in 2021
B) examples of Data Science- centric Industries
Finally, How do I Become A Data Scientist?
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