What is Data Science?

We will understand what is data science by looking at simple restaurant business example. Data science is a process of getting insights from data. You don't have to be deep learning expert in order to do data science, you can do that in plain old microsoft excel also (if dataset is small enough). In recent years volume of data has grown too much so that data has become BIG DATA. Microsoft excel can't work with big data hence you need tools such as,
1) Apache hadoop and apache spark: For database storage and distributed computing
2) Python and R: For data science programming
3) Tableau, Power BI, Matplotlib, MATLAB, Jupyter Notebook: For data visualization
4) Sklearn, Deep Learning, Tensorflow, PyTorch: For deep learning and machine learning
Data scientist has become the most popular job in the market today and there is a huge career scope if you know how to do data science. Some of the use cases of data science in real life are,
1) Healthcare: Diagnostic prediction and accuracy
2) Finance: Fraud detection, predictive analysis on loans, stock market movement, company future
3) Shipping: Figure out best route for shipping
4) E-commerce: Product recommendation, inventory pricing
Form to fill out your definition of data science (Fill free yo use innovative, poetic, funny language)

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