EIT Digital
Data Science for Business Innovation

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EIT Digital

Data Science for Business Innovation

Marco Brambilla
Emanuele Della Valle

Instructors: Marco Brambilla

14,106 already enrolled

Included with Coursera Plus

Gain insight into a topic and learn the fundamentals.
4.3

(261 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 7 hours
Learn at your own pace
89%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.3

(261 reviews)

Beginner level
No prior experience required
Flexible schedule
Approx. 7 hours
Learn at your own pace
89%
Most learners liked this course

What you'll learn

  • 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

Details to know

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Assessments

11 assignments

Taught in English

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There are 4 modules in this course

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.

What's included

3 videos2 readings2 assignments

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.

What's included

3 videos3 readings3 assignments

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.

What's included

5 videos5 readings5 assignments

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.

What's included

2 videos1 reading1 assignment

Instructors

Instructor ratings
4.4 (83 ratings)
Marco Brambilla
EIT Digital
7 Courses19,417 learners

Offered by

EIT Digital

Recommended if you're interested in Data Analysis

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4.3

261 reviews

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    3.81%

FA
4

Reviewed on May 2, 2020

TR
5

Reviewed on Mar 22, 2021

JD
4

Reviewed on Feb 9, 2022

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