5 days ago
Data Science for Marketers: Unlocking the Power of Customer Data
Building upon their customer data and using advanced techniques in data science, marketers would reap much more valuable insights that drive better decision-making, improve campaign performance, and enhance the customer experience.
#datascientist #CustomerData #Datascience #datasciencetraining #datasciencecourse
Read more about this topic here:
https://www.keepandshare.c...
Building upon their customer data and using advanced techniques in data science, marketers would reap much more valuable insights that drive better decision-making, improve campaign performance, and enhance the customer experience.
#datascientist #CustomerData #Datascience #datasciencetraining #datasciencecourse
Read more about this topic here:
https://www.keepandshare.c...
Data Science for Marketers: Unlocking the Power of Customer Data
a Keep&Share shared Document
https://www.keepandshare.com/doc4/140169/data-science-for-marketers-unlocking-the-power-of-customer-data
10 months ago
DATA SCIENCE
Data science is an exciting field that combines various disciplines like statistics, mathematics, computer science, and domain expertise to extract meaningful insights and knowledge from data. It involves collecting, cleaning, analyzing, and interpreting large sets of data to solve complex problems, make predictions, and drive decision-making processes.
In data science, practitioners use a range of techniques such as machine learning, data mining, data visualization, and predictive analysis to uncover patterns, trends, and correlations within datasets. It has applications in diverse industries, including healthcare, finance, marketing, and more, where the use of data can optimize operations, improve products and services, and gain a competitive edge.
[url]=https://www.sevenmentor.co...
Data science is an exciting field that combines various disciplines like statistics, mathematics, computer science, and domain expertise to extract meaningful insights and knowledge from data. It involves collecting, cleaning, analyzing, and interpreting large sets of data to solve complex problems, make predictions, and drive decision-making processes.
In data science, practitioners use a range of techniques such as machine learning, data mining, data visualization, and predictive analysis to uncover patterns, trends, and correlations within datasets. It has applications in diverse industries, including healthcare, finance, marketing, and more, where the use of data can optimize operations, improve products and services, and gain a competitive edge.
[url]=https://www.sevenmentor.co...
