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Artificial Intelligence and Machine Learning for Business

Explore how predictive models can help businesses use data to identify risks and discover new opportunities.

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Discover how predictive analytics could transform your business

As businesses accrue more and more data about their customers – from their behavioural history to their transactions – being able to use ‘Big Data’ is becoming increasingly key to low-term business success.

On this course, you’ll understand how predictive analytics can be used to get useful information out of your data. You’ll identify how techniques like machine learning and data mining can help you become a data-centred project manager who can solve business problems, and drive revenue.

Learn how predictive analytics helps business

Predictive analytics encompasses a variety of statistical techniques in big data analysis and machine learning.

Alongside data science experts at Sungkyunkwan University (SKKU), you’ll get foundational training in the concepts and principles that underlie data science and statistical modelling techniques.

See how data science can boost business performance

The course will take you through a series of real-world business problems, solving each by using key predictive analytics methods.

These include statistical methodologies and algorithms such as artificial neural networks, clustering, text mining, decision trees, and natural language processing.

Explore the relationship between predictive analysis and machine learning

You’ll discover the essentials of machine learning, which can be a vital tool in analysing and making use of data.

Discover the difference between supervised machine learning – where you can collect data based on previous experience – and unsupervised machine learning – where you can find new data patterns.

Gain practical big data skills

Along the way, you’ll learn how to use predictive tools to extract knowledge from data, connect actual business problems with data science solutions, and lead a data science-orientated team.

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What topics will you cover?

  • The concept of data-driven decision making
  • Supervised learning vs. Unsupervised learning
  • Solving customer churning problem using classification techniques
  • Identifying the same group of customers using clustering
  • Forecasting the real estate price using an artificial neural network

When would you like to start?

Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.

  • Available now

Learning on this course

On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.

What will you achieve?

By the end of the course, you‘ll be able to...

  • Improve the knowledge required to become a business manager who will manage data-centered projects and ventures and lead a data science-oriented team.
  • Assess the "real-world" business problems with data science solutions.
  • Synthesise the general concepts of extracting knowledge from big data using a vast array of methodologies and algorithms.

Who is the course for?

This course would benefit an aspiring manager who wants to align their understanding of business and technical solutions and to lead comprehensive business solutions including data science teams.

What software or tools do you need?

Learners will require access to Microsoft Excel (or Excel Online) to open and edit data sheet files.

Who will you learn with?

Professor Youngju Nielsen worked 15 years at major finance corporations on Wall Street as a trader/portfolio manager. She now teaches at SKK GSB.
https://www.linkedin.com/in/youngjunielsen/

Greetings! I am your TA. I’m skilled in R, SQL, Python, and Stata. I’m a PhD Finance student at the Kelley School of Business in the U.S.

https://www.linkedin.com/in/yun-joo-an-176318147

Who developed the course?

Sungkyunkwan University (SKKU)

Sungkyunkwan University, founded in 1398 as the highest national educational institute in the early years of the Joseon Dynasty in Korea, has fostered leaders of Korean society for over 600 years.

  • Established

    1398
  • Location

    Seoul, South Korea
  • World ranking

    Top 100Source: QS World University Rankings 2021
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