What is Data Science?

What is Data Science?

Data science is the process of extracting insights from data using technology. It involves using advanced tools and programming languages such as Python and R to analyze big data, which is not feasible with traditional tools like Microsoft Excel. A typical data science project involves a business problem, data collection, data cleaning and exploration, building a model, and deploying the model to production.

EXAMPLE: RESTAURANT BUSINESS

For instance, let’s consider a restaurant business with locations in New York and San Diego. The local managers send monthly sales data in an Excel file to the business owner. By plotting a side-by-side bar chart of the monthly sales numbers, the business owner can identify that the New York restaurant is not performing well during summer months. This visualization can help the owner make a business decision to run a special promotion during the summer in the New York restaurant.

TOOLS USED IN DATA SCIENCE

For data storage and distributed computing, data scientists use technologies like Apache Hadoop and Apache Spark. For visualization, they use tools like Tableau, Power BI, Matplotlib, and Jupiter Notebook. For deep learning, they might use Tensorflow, PyTorch, or Scikit-learn.

REAL-LIFE EXAMPLES

Data science is used heavily in various industries, including:

Amazon: product recommendations and video recommendations

Healthcare: analyzing data from wearable devices to predict heart disease or respiratory problems

Finance: fraud detection using advanced algorithms

Shipping: finding the best route between two destinations

Requirements:

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