Fundamentals of Digital Transformation and Data Analytics

Become a digital and data expert with National Tsing Hua University

Digital transformation is a fundamental part of business today. From CRMs to analytics tools, there are an almost infinite number of information systems available to assist companies operationally.

On this six-week course from National Tsing Hua University, you’ll become an expert in digital transformation for business. Whatever your level of technical expertise, you’ll gain the skills and knowledge you need to accelerate your digital career.

Learn how to harness information systems for business strategy

After an introduction to the concept of digital transformation, you’ll get stuck into discussing its role in business strategy.

You’ll explore the added value that digital systems can bring to businesses, and examine real-world case studies of digital transformation at work.

Discover digital supply chain management and customer relationship management

In Weeks 4 and 5 of the course, you’ll consider the digitalisation of supply chain management (SCM) and customer relations management (CRM).

You’ll look at a range of examples showing how digital transformation has enhanced an organisation’s internal and external procedures.

Gain hands-on experience of data mining and data analytics

In the final week of the course, you’ll address the issue of data analytics. Using real data sets and analytics software, you’ll gain hands-on experience of processing business data.

Throughout the course, you’ll complete practical exercises and analyse real business case studies, helping prepare you to put your data expertise into practice.

This course is designed for anyone interested in gaining an introduction to digital transformation, data analytics and information systems for enterprise.

It will be as useful for students aspiring towards digital careers as for working professionals hoping to gain new digital expertise.

This course is designed for anyone interested in gaining an introduction to digital transformation, data analytics and information systems for enterprise.

It will be as useful for students aspiring towards digital careers as for working professionals hoping to gain new digital expertise.

• Describe the definitions and elements of digital transformation / data analytics (DTA).
• Classify the impacts of DTA on work design and organizations.
• Explain the data types and structure within enterprise information system.
• Identify potentials and risks of DTA in data-informed decision making.
• Apply the software to run data mining process