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Fundamentals of Digital Transformation and Data Analytics

Gain the technical knowledge and hands-on experience you need to start your career in digital transformation and data analytics.

926 enrolled on this course

Fundamentals of Digital Transformation and Data Analytics

926 enrolled on this course

  • 6 weeks

  • 3 hours per week

  • Digital certificate when eligible

  • Introductory level

Find out more about how to join this course

  • Duration

    6 weeks
  • Weekly study

    3 hours
  • 100% online

    How it works
  • Unlimited subscription

    $244.99 for one whole yearLearn more

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.

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Syllabus

  • Week 1

    DT and DA Introduction

    • Course Introduction

      Welcome to our course, Fundamentals of Digital Transformation and Data Analytics! Meet the team who will be helping you through the course and find out more about what you'll be learning.

    • What is Digital Transformation?

      In this activity, we will briefly introduce the main concept of digital transformation (DT).

    • Debate: The world is flat

      After learning the basic idea about digital transformation and the perception, the world is flat, we hold a debate to show your opinion.

    • Weekly Review

      Reflect on what you have learned about digital transformation this week.

  • Week 2

    DT and Business Strategy

    • Introduction to business strategy

      In the first activity, we are going to introduce you to different business strategies used in enterprises.

    • Dell Case Study

      Learn business strategy through Dell case.

    • Weekly Review - Conclusion of Dell Case

      Conclude and discuss the business strategy in the Dell case.

    • (Optional) Digital Transformation Case

      Share a digital transformation case with several challenges that happen in a company.

  • Week 3

    DT and Internal Organization (ERP)

    • DT system in the enterprise

      In this activity, we introduce how IT systems work in the enterprise and enterprise resource planning systems (ERP).

    • ERP and BOM

      Introduce how ERP systems manage business processes, and how BOM provides a detailed list of components needed to manufacture a product.

    • Challenges of an Integrated ERP

      Describe the challenges that happened when implementing an integrated ERP system.

    • Weekly Review - Cisco Case Study

      Conclude and discuss the ERP system in the Cisco case.

  • Week 4

    DT and Supply Chain Management (SCM)

    • Supply Chain Management (SCM)

      In this activity, we give an overview of the supply chain and present the difficulty of supply chain management (SCM).

    • Bullwhip Effect

      In this activity, we shed light on the bullwhip effect, a crucial phenomenon that occurs in the supply chain.

    • Beer Game

      In this activity, we will understand the bullwhip effect through a beer game.

    • Weekly Review - SCM

      In this activity, we review the concept of SCM systems and what we learned about the bullwhip effect through the beer game.

  • Week 5

    DT and Customer Relationship Management (CRM)

    • Customer Strategy

      In this activity, we will show you how to develop a customer strategy.

    • Customer Relationship Management (CRM)

      In this activity, we show you what are the key steps to building customer relationship management (CRM).

    • Data Analytics

      Show how and why data analytics are important.

    • Cloud Computing

      Introducing the advantages and disadvantages of cloud computing.

  • Week 6

    DT and Data Analytics

    • Introduction of Data Analytics

      In this activity, we will familiarize you with the fundamentals of data analytics, including the critical steps involved in conducting data mining.

    • How to run data mining

      Demonstrate how to run a data mining project through RapidMiner software.

    • Improve Data mining results

      Demonstrate how to improve a data mining process.

    • Course Review - Business Value

      In the last activity, we review the concepts of the whole course and discuss the business values associated with digital transformation and data analytics.

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...

  • 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

Who is the course for?

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.

Who will you learn with?

Professor and Director
Institute of Service Science
National Tsing Hua University Taiwan

PhD Student at National Tsing Hua University.

Who developed the course?

National Tsing Hua University (NTHU)

National Tsing Hua University in Taiwan consistently ranks as one of the premier universities in East Asia.

  • Established

    1956
  • Location

    Taiwan
  • World ranking

    Top 170Source: QS World University Rankings 2021

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Ways to learn

Choose the best way to learn for you!

Subscribe & save

$244.99 for one whole year

Automatically renews

Develop skills to further your career

  • Access to this course
  • Access to 1,000+ courses
  • Learn at your own pace
  • Discuss your learning in comments
  • Digital certificate when you're eligible

Cancel for free anytime

Buy this course

$134/one-off payment

Fulfill your current learning need

  • Access to this course
  • Learn at your own pace
  • Discuss your learning in comments
  • Printed and digital certificate when you’re eligible

Limited access

Free

Sample the course materials

  • Access expires 9 Jul 2024

Find out more about certificates, Unlimited or buying a course (Upgrades)

Sale price available until 3 June 2024 at 23:59 (UTC). T&Cs apply.

Find out more about certificates, Unlimited or buying a course (Upgrades)

Sale price available until 3 June 2024 at 23:59 (UTC). T&Cs apply.

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