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Data Science for Business Innovation
  • Level Foundation
  • Duration 7 hours
  • Course by EIT Digital
  • Offered by

About

The Data Science for Business Innovation nano-course is a compendium of the must-have expertise in data science for executives and middle-management 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

Modules

Welcome and Introduction

    • 1 Videos
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1 Videos

  • Welcome and Introduction

Data-driven Decision Making for Data-centric Organizations

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Data-driven Decision Making for Data-centric Organizations

1 Videos

  • Data-driven Decision Making for Data-centric Organizations

1 Readings

  • Data-driven Decision Making for Data-centric Organizations

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

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Big Data and Data Science

1 Videos

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

1 Readings

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

Success Story: Data Science at Netflix

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Success Story: Data Science at Netflix

1 Videos

  • Success Story: Data Science at Netflix

1 Readings

  • Success Story: Data Science at Netflix

Machine Learning

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • Machine Learning

1 Videos

  • Machine Learning

1 Readings

  • Machine Learning slides

Solving Problems: Programming vs. Machine Learning

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Solving Problems: Programming vs. Machine Learning

1 Videos

  • Solving Problems: Programming vs. Machine Learning

1 Readings

  • Solving Problems: Programming vs. Machine Learning

Linear Regression for Price Prediction

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Linear Regression

1 Videos

  • Linear Regression for Price Prediction

1 Readings

  • Linear Regression for Product Price Prediction

Classification of User-generated Content to Recommend Restaurants

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Naive Bayes

1 Videos

  • Classification of User-generated Content to Recommend Restaurants

1 Readings

  • Classification User-generated Content to Recommend Restaurants

Product Recommendation Using Decision Trees and Random Forests

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Decision Trees and Random Forests

1 Videos

  • Product Recommendation Using Decision Trees and Random Forests

1 Readings

  • Product Recommendation Using Decision Trees and Random Forests

Logistic Regression for HR Management

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Logistic Regression

1 Videos

  • Hiring Employees Using Logistic Regression

1 Readings

  • Hiring Employees Using Logistic Regression

K-means Clustering

    • 1 Videos
    • 1 Readings
    • 1 Assignment
Show info about module content

1 Assignment

  • K-means Clustering

1 Videos

  • K-means Clustering

1 Readings

  • Using k-means for Clustering

Data Science Challenges

    • 1 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Data Science Challenges

1 Videos

  • Data Science Challenges

1 Readings

  • Data Science Challenges

Conclusions

    • 1 Videos
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1 Videos

  • Conclusions

Auto Summary

Unlock the potential of data-driven innovation with the "Data Science for Business Innovation" course. Tailored for executives and managers in Big Data and Analytics, this foundational course by Coursera, led by expert instructors, covers the essentials of Data Science, including its value, problem-solving capabilities, and the roles of machine learning and AI. Over 420 minutes, learners will explore supervised, unsupervised, and semi-supervised methods, NoSQL data models, and cloud-based platforms through engaging lectures and real-world examples. Available via Starter and Professional subscriptions, it's ideal for professionals aiming to future-proof their careers.

Marco Brambilla
Instructors

Marco Brambilla

Emanuele Della Valle
Instructors

Emanuele Della Valle