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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:

  1. Ask the right questions - To understand the business problem.                 
  2. Explore and collect data - From the database, weblogs, customer feedback, etc.                                                                                 
  3. Extract the data - Transform the data to a standardized format.             
  4. Clean the data - Remove erroneous values from the data.                     
  5. Find and replace missing values - Check for missing values and replace them with a suitable value (e.g. an average value).                        
  6. 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).                                                                         
  7. Analyze data, find patterns and make future predictions.                 
  8. Represent the result - Present the result with useful insights in a way the "company" can understand.
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