• Data science is the task of transforming data through the use of various technical analysis methods in order to extract meaningful insights that a data analyst can apply to their business scenarios.
• Data analytics is concerned with testing existing hypotheses and information and providing answers to questions in order to make better and more effective business decisions.

Upskilling and current in the workplace require a Data Science Training

• Data Science drives innovation by answering questions that lead to new connections and solutions to future problems. Data analytics is concerned with extracting current meaning from existing historical context, whereas data science is concerned with predictive modelling.
• Data Science is a broad subject that employs various mathematical and scientific tools and algorithms to solve complex problems, whereas data analytics is a subset of data science.