The Data Science for Business Innovation nano-course is a compendium of the must-have expertise in data science for executives and middle-management to foster data-driven innovation. The course explains what Data Science is and why it is so hyped.
제공자:

Data Science for Business Innovation
EIT 디지털이 강좌에 대하여
배울 내용
What is data science
How data science, machine learning, and data-driven innovation can benefit business outcomes
Foundational concepts and intuitions about machine learning techniques
귀하가 습득할 기술
- Data Science
- Business Analytics
- Decision-Making
- Data Analysis
- Big Data
제공자:

EIT 디지털
EIT Digital is a European education and innovation organisation with a mission to foster digital technology innovation and entrepreneurial talent for economic growth and quality of life. By linking education, research, and business, EIT Digital empowers digital top talent for the future.

밀라노 국립건축대학
Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers.
강의 계획표 - 이 강좌에서 배울 내용
Introduction to Data-driven Business
This module introduces the course and offers some basic overview of the topics. It presents the crucial concepts related to data science and big data and provides an outlook on how to use them in real world settings for increasing business value.
Terminology and Foundational Concepts
In this module, you will learn the foundational concepts of machine learning and data science. You will understand how these techniques can be useful in terms of increased business value for organizations, thanks to the discussion of a very well known success story, namely Netflix, which can be deemed as a completely data-driven business. You will also understand how machine learning is different from programming.
Data Science Methods for Business
In this module, you will learn the concepts and intuitions about the basic approaches for data analysis, including linear regression, naive Bayes, decision trees, clustering, and logistic regression. All the methods are presented starting from typical business uses and are covered in an intuitive way through a guided explanation of how the approach works on simple examples.
Challenges and Conclusions
This module summarizes the concepts learned so far and introduces a set of challenges and risks that data-savvy managers must take into account when deciding for a data-driven strategy.
검토
- 5 stars58.99%
- 4 stars23.43%
- 3 stars10.46%
- 2 stars3.34%
- 1 star3.76%
DATA SCIENCE FOR BUSINESS INNOVATION의 최상위 리뷰
Great Course, simple in explanation and easy to understand.
The knowledge was practical based and interesting; however better application of knowledge in real life would've been a great add-on.
Great course, great content, the quiz questions are tricky which makes it really interesting
There are sometimes language interpretations that make it really hard to pass the quizes.
자주 묻는 질문
강의 및 과제를 언제 이용할 수 있게 되나요?
이 수료증을 구매하면 무엇을 이용할 수 있나요?
재정 지원을 받을 수 있나요?
궁금한 점이 더 있으신가요? 학습자 도움말 센터를 방문해 보세요.