About this Course

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Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 7 hours to complete

English

Subtitles: English

What you will 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

Skills you will gain

Data ScienceBusiness AnalyticsDecision-MakingData AnalysisBig Data

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Beginner Level

Approx. 7 hours to complete

English

Subtitles: English

Offered by

EIT Digital  logo

EIT Digital

Politecnico di Milano logo

Politecnico di Milano

Syllabus - What you will learn from this course

Week
1

Week 1

1 hour to complete

Introduction to Data-driven Business

1 hour to complete
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
Big Data and Data Science10m
Week
2

Week 2

2 hours to complete

Terminology and Foundational Concepts

2 hours to complete
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 Learning30m
Week
3

Week 3

3 hours to complete

Data Science Methods for Business

3 hours to complete
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 Regression30m
Naive Bayes30m
Decision Trees and Random Forests30m
Logistic Regression30m
K-means Clustering6m
Week
4

Week 4

1 hour to complete

Challenges and Conclusions

1 hour to complete
2 videos (Total 12 min), 1 reading, 1 quiz
2 videos
Conclusions1m
1 reading
Data Science Challenges20m
1 practice exercise
Data Science Challenges30m

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.

  • You will be eligible for a full refund until two weeks after your payment date, or (for courses that have just launched) until two weeks after the first session of the course begins, whichever is later. You cannot receive a refund once you’ve earned a Course Certificate, even if you complete the course within the two-week refund period. See our full refund policy.

  • Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You’ll be prompted to complete an application and will be notified if you are approved. Learn more.

  • This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.

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