About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

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Beginner Level

Approx. 17 hours to complete

Suggested: 4 weeks of study, 1.5 hours/week...

English

Subtitles: English

What you will learn

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    What is data science

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    How data science, machine learning, and data-driven innovation can benefit business outcomes

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    Foundational concepts and intuitions about machine learning techniques

Skills you will gain

Data ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 17 hours to complete

Suggested: 4 weeks of study, 1.5 hours/week...

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
1 hour to complete

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.

...
3 videos (Total 13 min), 2 readings, 2 quizzes
3 videos
Data-driven Decision Making for Data-centric Organizations2m
What's Big Data? How Does It Relate to Data Science?6m
2 readings
Data-driven Decision Making for Data-centric Organizations15m
What's Big Data? How Does It Relate to Data Science?15m
2 practice exercises
Data-driven Decision Making for Data-centric Organizations3m
What's Big Data? How Does It Relate to Data Science?10m
Week
2
2 hours to complete

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.

...
3 videos (Total 16 min), 3 readings, 3 quizzes
3 videos
Machine Learning9m
Solving Problems: Programming vs. Machine Learning3m
3 readings
Success Story: Data Science at Netflix30m
Machine Learning slides20m
Solving Problems: Programming vs. Machine Learning10m
3 practice exercises
Success Story: Data Science at Netflix5m
Machine Learning20m
Solving Problems: Programming vs. Machine Learning2m
Week
3
2 hours to complete

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.

...
5 videos (Total 25 min), 5 readings, 5 quizzes
5 videos
Classification of User-generated Content to Recommend Restaurants2m
Product Recommendation Using Decision Trees and Random Forests2m
Hiring Employees Using Logistic Regression8m
K-means Clustering6m
5 readings
Linear Regression for Product Price Prediction10m
Classification User-generated Content to Recommend Restaurants10m
Product Recommendation Using Decision Trees and Random Forests10m
Hiring Employees Using Logistic Regression10m
Using k-means for Clustering10m
5 practice exercises
Linear Regression6m
Analysing User-generated Content to Recommend Restaurants4m
Learning to Recommend Products Using Decision Trees and Random Forests2m
Learning to Hire Fresh Graduates Using Logistic Regression6m
K-means Clustering6m
Week
4
1 hour to complete

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.

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2 videos (Total 12 min), 1 reading, 1 quiz
2 videos
Conclusions1m
1 reading
Data Science Challenges20m
1 practice exercise
Data Science Challenges2m

Instructors

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Enrique Barra

PhD
Departamento de Ingeniería Telemática
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Marco Brambilla

Associate Professor
Politecnico di Milano
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Fabian Garcia Pastor

Head of Professional School
EIT Digital

About EIT Digital

EIT Digital is a pan-European organization whose mission is 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 talents for the future. EIT Digital provides online and blended Innovation and Entrepreneurship education to raise quality, increase diversity and availability of the top-level content provided by 20 leading technical universities around Europe. The universities deliver a unique blend of the best of technical excellence and entrepreneurial skills and mindset to digital engineers and entrepreneurs at all stages of their careers. The academic partners support Coursera’s bold vision to enable anyone, anywhere, to transform their lives by accessing the world’s best learning experience. This means that EIT Digital gradually shares parts of its entrepreneurial and academic education programmes to demonstrate its excellence and make it accessible to a much wider audience. EIT Digital’s online education portfolio can be used as part of blended education settings, in both Master and Doctorate programmes, and for professionals as a way to update their knowledge. EIT Digital offers an online programme in 'Internet of Things through Embedded Systems'. Achieving all certificates of the online courses and the specialization provides an opportunity to enroll in the on campus program and get a double degree. Please visit https://www.eitdigital.eu/eit-digital-academy/ ...

About Politecnico di Milano

Politecnico di Milano is a scientific-technological University, which trains engineers, architects and industrial designers. From 2014 Politecnico di Milano started the release of several MOOCs, developed by the service for digital learning METID (Methods and Innovative Technologies for Learning), giving everybody the chance to enhance personal skills....

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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