What is Data Science?

What is Data Science?

Data Science is about data gathering, analysis, and decision-making.

Data Science is about finding patterns in data, through analysis, and make future predictions.

By using Data Science, companies are able to make:

Better decisions (should we choose A or B)
Predictive analysis (what will happen next?)
Pattern discoveries (find a pattern, or maybe hidden information in the data)

How Does a Data Scientist Work?

A Data Scientist requires expertise in several backgrounds:

Machine Learning
Statistics
Programming (Python or R)
Mathematics
Databases

A Data Scientist must find patterns within the data. Before he/she can find the patterns, he/she must organize the data in a standard format.

Here is how a Data Scientist works:

Ask the right questions - To understand the business problem.
Explore and collect data - From the database, weblogs, customer feedback, etc.
Extract the data - Transform the data to a standardized format.
Clean the data - Remove erroneous values from the data.
Find and replace missing values - Check for missing values and replace them with a suitable value (e.g. an average value).
Normalize data - Scale the values in a practical range (e.g. 140 cm is smaller than 1,8 m. However, the number 140 is larger than 1,8. - so scaling is important).
Analyze data, find patterns and make future predictions.
Represent the result - Present the result with useful insights in a way the "company" can understand.

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