We help you master digital transformation.

This course helps managers in the digital transformation era develop an understanding of analytical skills and techniques required to make decisions and use them in actual work.

I learn something like this!

Understanding strategic decision-making processes in a digital environment

Understand the practical direction data applies to developing an organization's DT strategy

Develop the ability to apply DT to work methods and drive changes in business models

Presenting concepts and applications of RPA and machine learning

In a rapidly changing world, a change in strategy is also essential!

Use this course as a turning point to succeed in the digital age.

The importance of data-driven digital transformation

1. Data, the power of the digital age

Digital transformation, 4th industrial revolution, artificial intelligence There are words that are often seen these days.

What made all of this possible digital technologyThis is it.

If you think about the time when everything was conveyed with words and gestures, the time when paper and writing were used, and the time when phone calls and telegrams were used, there were incomparable differences in the speed, scope, and development of civilization in each era.

And now, the digital age has arrived, where the Internet and wireless communication technology are the main focus. Some people are still comfortable with the analog method. There are also people who want to continue to trust the intuition they still believed in. However, if you don't adapt to the changing times, this is a moment where things that have been built up until now can fall apart.

Conversely, it's a time when even people who haven't been special until now can become more special than anyone else. The information gap is getting worse.

If you know how to make good use of data, you can have more power than someone who has a lot of money. Of course, money will come along, though.

2. Strategies to survive in the DT era

Digital technology is'transitions“Literally, it has changed and is changing the world.

Business technologies that have been used before are being developed or eliminated by incorporating digital technology. And new technologies are taking their place. Things that many people did with their hands or heads before

Now I'm using a computer RPA and machine learningIt is being replaced by Had these technologies been unstable and slow, hands and heads would still be effective tools, but unfortunately, these technologies have become very fast and reliable. But that doesn't mean everyone has to play.

Take a look at examples of adaptation and adoption of digital transformation that have already come out a lot, Strategies that can utilize digital technologyIf you have one, you can coexist with computers to produce tangible results.

The world is 'changing'. Strategies must also be “transformed” to survive.

3. You know digital and data, but can't you code?

That's fine. Advances in digital technology have created an environment where advanced analytical techniques can be used without coding.

Excel featuresMost of it alone Statistical analysis techniquesYou can use it,

An additional feature of Excel Power queryIs Pre-processing process for data analysisIt dramatically simplifies

It started as an additional function of Excel and is now developing independently Power BI

Visualize analyzed dataIt has very useful and powerful features to do,

Microsoft's Azure MLIs easy for anyone machine learningIt helps you to use

Being able to code is a clear advantage, but not being able to code isn't a serious disadvantage anymore.

Rather right now In order to apply it to the business

Instead of spending too much time learning to code Analytical techniques and dataLearning how to use it will have a greater effect.

I recommend it to people like this

Those who want to learn the strategic decision-making process required for executives in a digital environment
Those who want to use advanced data analysis without programming
People who easily use advanced analytics that may seem complicated to create results
Those who want to learn about proper situation judgment and modeling through actual data

After listening to data-driven digital transformation

<DT Strategy Master Class> After listening to the lecture,

You can secure the following competencies.

— Understanding decision-making in a digital environment : Ability to create significant value through decision making using data analysis

— Ability to use statistical techniques : Ability to perform data collection, pre-processing, and specific modeling

— DTUse of techniques that appeared due to : Ability to understand RPA and machine learning and apply them to actual work

— Ability to establish and implement strategies based on analytical results : Perform data analysis and utilize insights in various fields such as marketing and HR

You can develop competencies that will enable you to advance as a practitioner in the DT era.

Conquer the digital transformation era faster and firmer than anyone else!

Course features

Through this course, you can cultivate the ability to make decisions based on data and use it as an opportunity for growth without being swept away by the huge wave of the digital transformation era.

STEP 1. Dealing with the core model of data-driven decision making

Data-based decision-making enables much more stable decision choices than traditional methods. Furthermore, it is possible to generate high returns at any time rather than low risk and low returns.

STEP 2. Practice automated processes

From preparation to execution for task automation!

We'll even show you how to further improve the efficiency of automation that is already efficient.

STEP 3. Bringing insights from the digital world to the real world

If insights obtained after performing various techniques of machine learning based on data are applied to actual workplaces, it can revolutionize decision-making in a wide range of areas, including sales, development, and human resources.

Learning content

1. Anyone can easily use machine learning using Microsoft's Azure ML!

2. Figure it out with a comparative analysis model!

3. Formulate a strategy with the K-Means cluster model!

4. Improve employee efficiency based on technical statistics!

5. Check the statistics by bus arrival time!

Expected Questions Q&A

Q. Do players need data science knowledge??

A. Since advanced Excel analysis exercises and exercises using Azure ML will be conducted in this course, we recommend that you first take the 'Data Science Introductory Bootcamp' at Maso Campus where you can cultivate basic Excel skills and basic knowledge about data science.

Q. Are there any requirements or requirements to take the course?

A. Since this is a practice-oriented course, it is a good idea to prepare a dual monitor or an extra device that can separate the lecture screen from the practice screen.

Q. I'm new to data analysis with no programming experience. Is that possible?

A. Yes! In this course, programming knowledge is not required because the exercises are conducted using power BI, which can easily perform visual analysis with Excel, and Azure ML, a tool that can easily perform machine learning.

Data-Driven Digital Transformation (DT) Strategy Master Class

Data-Driven Digital Transformation (DT) Strategy Master Class