There's Real-World Value In Data Science: The Business Angle

  • Data analysts use data to aid businesses in fulfilling their professional objectives, like augmenting sales, assessing reviews, predicting and interpreting consumer/market trends, etc.

Business:

  • Businesses consist of human clients & the data analyst’s colleagues who are not in data analysis

Data:

  • Means, in this context, data sources that can show businesses trends, projections, and guide them on the best direction for company projects and aspirations to go

- Versatility:

  • Data analysts are needed by many unique fields and professions for various projects:

  • [ ] Creative

  • [ ] Financial

  • [ ] Marketing

  • [ ] Other sectors different corporations work in

Procedures for ensuring the correct and suitable data is used in the project (may vary by situation, organization/company policy, preference of the data analyst/scientist, etc.)
  1. Gather requirements
  2. Clean data 
  • Delete rows containing empty spaces where missing values would have otherwise been 
  • Alter some columns’ data types in connection to their numeric values
  • Deleting columns not relevant to the task
  1. Create data models that explain what data points are meant to represent, what they mean

Some Valuable Terminology:

  • CSV file format - Type of file that accommodates data storage and collecting via the style of a table containing columns and rows; the acronym letters stand for Comma-separated values