EIT Digital
Data Science for Business Innovation
EIT Digital

Data Science for Business Innovation

Marco Brambilla
Emanuele Della Valle

Instructors: Marco Brambilla

14,165 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

Shareable certificate

Add to your LinkedIn profile

Assessments

11 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

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 Courses19,657 learners

Offered by

EIT Digital

Recommended if you're interested in Data Analysis

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

4.3

261 reviews

  • 5 stars

    59.54%

  • 4 stars

    22.51%

  • 3 stars

    10.68%

  • 2 stars

    3.43%

  • 1 star

    3.81%

Showing 3 of 261

TR
5

Reviewed on Mar 22, 2021

FA
4

Reviewed on May 2, 2020

JD
4

Reviewed on Feb 9, 2022

New to Data Analysis? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions