Coding-free AI data analysis using Orange - Lv.2 Data preprocessing and visualization

This lecture is part of Maso Campus's 'Coding-Free AI Data Analysis Using Orange' series.

This is the Lv.2 course of the single-course sales version .

If you would like an all-in-one Orange data analysis course that integrates from Lv.0 to Lv.4, please refer to the lecture below .

Advanced Data Analysis for Beginners: Orange Step-by-Step Master Pack https://inf.run/qmPWu

Analyze data easily without complex coding!

From data preprocessing to visualization, all in one place!
Gain advanced skills easily without coding or Excel!

Learn this!

• Data preprocessing techniques using Orange, a no-coding AI data analysis tool.

• Data cleansing and missing value handling methods

• Data transformation, encoding, and scaling technologies

• Configuring the data analysis process

• Data visualization techniques and grid setup methods

AI data analysis anyone can do

Developers, developers, but did you know that not all developers are the same?

Developers include front-end, back-end, engineers in various fields, and data science developers.

There are many different fields.

Naturally, there are differences in demand, difficulty of entry, and average annual salary in each field.

Among them, data science, especially machine learning/deep learning, is particularly noteworthy.

In addition to basic coding skills, it requires data science knowledge and artificial intelligence capabilities.

It ranks among the top salary levels in various developer surveys.

Of course, a high salary level doesn't generally mean that just anyone can do it.

However, the truth is that anyone can easily perform AI data analysis.

Some data science knowledge and data handling skills,

If you have the analytical techniques and the ability to use appropriate tools required for practical work,

Perform advanced AI data analysis without developers.

Does it seem like you need too much?

So, in this lecture at Maso Campus, we have prepared everything at once.

The tool used in this lecture is “Orange.”

Anyone can easily access and manipulate analytical data, and even perform artificial intelligence analysis.

Orange provides meaningful analysis that goes beyond what developers can do.

It is a free tool that can be used without any problems in various network security environments.

Are you jealous of data science developers?

Even without development skills, you can use the no-coding tool Orange

With the data analysis capabilities provided by Maso Campus,

The salary of a machine learning developer is no dream either.

In this lecture, which is the beginning of Maso Campus’ “AI Data Analysis Without Coding” course,

I hope you can fully unfold your potential that you never knew existed.

Lecture Features

This course is designed to teach you all the techniques you need for feature engineering and data visualization—no coding required.

We break down the complex coding barriers to proper data analysis and help anyone easily get started with data visualization.

I recommend this to these people

• Those who want to clearly convey analysis results through data visualization

• Anyone who wants to master advanced visualization skills without complex coding

• For those who want to easily perform data preprocessing and feature engineering.

• For those who feel the limitations of Excel and want a simpler, more advanced analysis tool.

• Job seekers who want to differentiate themselves in the job market

• Anyone who wants to build a career in the IT industry, such as starting a business, changing jobs, or joining a company.

  
  

After taking the AI data analysis course without coding,

Maso Campus's Coding-Free AI Data Analysis lv.2 Data Preprocessing and Visualization Introduction course
Suitable for everyone from beginners to professionals in data visualization.

• Understand the basic processes of data preprocessing and feature engineering.

• Preparing for Analysis Through Data Cleansing Techniques

• Learn missing value handling and outlier detection and processing methods.

• Leverage data transformation, encoding, and scaling technologies

Develop your data science expertise with Orange.
Don't be afraid of coding or data analysis anymore!

Learning Content

1. Learn the basics of feature engineering!

2. Convert the data into a format that is easy to analyze!

3. Start with basic visualization techniques!

4. Advanced visualization techniques all at once!

5. Visualize maps without coding!

Expected Questions Q&A

1. Do you need prior knowledge of artificial intelligence, coding, or design?
   A. This course is designed to provide anyone interested in artificial intelligence with the skills they need to apply it in practice. It doesn't require any AI, coding, or even Excel skills.

2. Are there any requirements or prerequisites for taking the course?
   A. Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture and practice screens.

3. Orange? Do I need to purchase separate software?
   A. Orange is distributed free of charge, and it provides step-by-step instructions, from download to installation, so anyone can easily build an AI data analysis environment. The portable version allows use without an external internet connection, making it ideal for use in high-security work environments.

Introducing the knowledge sharer

Please check before taking the class!