Data scientists and data analysts have overlapping duties but function differently in terms of the data they work with. Read below to know the difference between Data Analyst and Data Scientist.

Data architecture: The heart and soul of data governance is its architecture, which defines the structure of an organization’s data resources and includes standards, policies, models and rules ...

Customer data platforms (CDPs) and data management platforms (DMPs) are not interchangeable, or an either-or scenario. While to the uninitiated they might sound like the same thing, there are ...

What is the difference between data science, analytics and machine learning? Which one is more important – Exploratory Data Analysis or Modelling? What is the difference ...

Planning for success of a data science project at any organization requires careful forethought of how the IT department will collaborate with the data science team.

Data analysis: Once data is cleaned, it is analyzed to look for data patterns, trends and relationships. Analysts should try to spot opportunities and risks in the data at this time.

Differences between data science and machine learning Whilst data science is the study of data in general, machine learning is a tool to automate tasks and algorithms involved, hence minimising ...

However, it might be challenging to differentiate between data analytics and data science. Despite the fact that the two are related, they use different tactics and generate different results.