К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Data Science for Business Innovation · LearnSpace
Назад в каталог
courseraАнализ данных

Data Science for Business Innovation

Курс от 28DIGITAL, Politecnico di Milano
Начальный≈ 7.2 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

This is your chance to learn all about Data Science for Business innovation and future-proof your career. Match your business experience tech and analytics! The Data Science for Business Innovation nano-course is a compendium of the must-have expertise in data science for executives and managers to foster data-driven innovation. The course explains what Data Science is and why it is so hyped. You will learn: * the value that Data Science can create * the main classes of problems that Data Science can solve * the difference is between descriptive, predictive, and prescriptive analytics * the roles of machine learning and artificial intelligence. From a more technical perspective, the course covers supervised, unsupervised and semi-supervised methods, and explains what can be obtained with classification, clustering, and regression techniques. It discusses the role of NoSQL data models and technologies, and the role and impact of scalable cloud-based computation platforms. All topics are covered with example-based lectures, discussing use cases, success stories, and realistic examples. Following this nano-course, if you wish to further deepen your data science knowledge, you can attend the Data Science for Business Innovation live course https://professionalschool.eitdigital.eu/data-science-for-business-innovation

Навыки, которые вы освоите

Data ScienceMachine LearningUnsupervised LearningRegression AnalysisDescriptive AnalyticsBig DataSupervised LearningMachine Learning MethodsData-Driven Decision-MakingNoSQLData Storage TechnologiesData EthicsData AnalysisAnalyticsData StrategyRiskingArtificial Intelligence and Machine Learning (AI/ML)Business AnalyticsData ModelingData Literacy

Программа курса

4 модулей · 35 учебных материалов

01Introduction to Data-driven Business 7 материалов

Welcome and Introduction

Welcome and IntroductionВидео

Data-driven Decision Making for Data-centric Organizations

Data-driven Decision Making for Data-centric OrganizationsВидеоData-driven Decision Making for Data-centric OrganizationsЧтение

Учитесь у экспертов

Marco Brambilla

Professor

Emanuele Della Valle

Associate Professor

Data Science for Business Innovation
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 7.2 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Латышский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Пушту, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Дари, Хинди, Японский, Казахский, Польский

Часть программы вашего университета
Data-driven Decision Making for Data-centric OrganizationsЗадание

What's Big Data? How Does It Relate to Data Science?

What's Big Data? How Does It Relate to Data Science?ВидеоWhat's Big Data? How Does It Relate to Data Science?ЧтениеBig Data and Data ScienceЗадание
02Terminology and Foundational Concepts9 материалов

Success Story: Data Science at Netflix

Success Story: Data Science at NetflixВидеоSuccess Story: Data Science at NetflixЧтениеSuccess Story: Data Science at NetflixЗадание

Machine Learning

Machine LearningВидеоMachine Learning slidesЧтениеMachine LearningЗадание

Solving Problems: Programming vs. Machine Learning

Solving Problems: Programming vs. Machine LearningВидеоSolving Problems: Programming vs. Machine LearningЧтениеSolving Problems: Programming vs. Machine LearningЗадание
03Data Science Methods for Business15 материалов

Linear Regression for Price Prediction

Linear Regression for Price PredictionВидеоLinear Regression for Product Price PredictionЧтениеLinear RegressionЗадание

Classification of User-generated Content to Recommend Restaurants

Classification of User-generated Content to Recommend RestaurantsВидеоClassification User-generated Content to Recommend RestaurantsЧтениеNaive BayesЗадание

Product Recommendation Using Decision Trees and Random Forests

Product Recommendation Using Decision Trees and Random ForestsВидеоProduct Recommendation Using Decision Trees and Random ForestsЧтениеDecision Trees and Random ForestsЗадание

Logistic Regression for HR Management

Hiring Employees Using Logistic RegressionВидеоHiring Employees Using Logistic RegressionЧтениеLogistic RegressionЗадание

K-means Clustering

K-means ClusteringВидеоUsing k-means for ClusteringЧтениеK-means ClusteringЗадание
04Challenges and Conclusions4 материалов

Data Science Challenges

Data Science ChallengesВидеоData Science ChallengesЧтениеData Science ChallengesЗадание

Conclusions

ConclusionsВидео