AI Data Analysis Without Coding Using Orange - Lv.2 Data Preprocessing and Visualization

This course is part of Masocampus's 'Coding-Free AI Data Analysis using Orange' series

Individual course version of the Lv.2 curriculum.

If you would like the All-in-One Orange Data Analysis course, which integrates 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

Easily analyze data without complex coding!

From data preprocessing to visualization all at once!
Gain advanced skills easily without coding or Excel!

What you will learn!

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

• Data cleansing and missing value handling methods

• Data transformation, encoding, and scaling techniques

• Data analysis process configuration

• Data visualization techniques and grid setting methods

AI Data Analysis Anyone Can Do

People often talk about "developers," but did you know that not all developers are the same?

Even among developers, there are front-end, back-end, various types of engineers, and data science developers.

There are various fields.

Naturally, there are differences in demand, the difficulty of entry, and the resulting average salaries for each field.

Among them, the field of data science, particularly machine learning and deep learning, can be highlighted as something special.

It requires data science knowledge and artificial intelligence capabilities in addition to basic coding skills,

It consistently ranks at the top of salary levels in various surveys targeting developers.

Of course, a high salary level generally means that it is not something just anyone can do.

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

A bit of data science knowledge and the ability to handle data,

if you have the analytical techniques required for practical work and the ability to utilize the appropriate tools,

You can perform advanced AI data analysis even without a developer.

Does it look like there are too many things you need?

That is why IT Campus has prepared everything all at once in this lecture.

The tool used in the course introduced this time is "Orange."

Anyone can easily import and manipulate analysis data and even perform artificial intelligence analysis.

Orange, which allows you to perform meaningful analysis as freely as—or even more than—a developer can,

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

Were you envious of data science developers?

Even without development skills, with the no-code tool Orange and

With the data analysis capabilities provided by IT Campus,

A machine learning developer's salary is no longer just a dream.

In this lecture, which marks the beginning of Miso Campus’s “AI Data Analysis Without Coding” course,

I hope you will fully unleash the potential you never knew you had.

Course Features

This course is designed with a structure that allows you to learn all the techniques required for feature engineering and data visualization without any coding.

It breaks down the complex coding barriers for proper data analysis and helps anyone easily start data visualization.

Recommended for these people

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

• Those who want to master visualization, a high-level skill, without complex coding

• Those who want to easily perform data preprocessing and feature engineering

• Those who feel the limitations of Excel and want simpler, advanced analysis tools

• Job seekers who want to emphasize their own uniqueness in the job market

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

  
  

After taking the AI Data Analysis course without coding

Maso Campus's No-Code AI Data Analysis Lv.2: Introduction to Data Preprocessing and Visualization course is
suitable for everyone, from beginners in data visualization to working professionals.

• Understanding the basic process of data preprocessing and feature engineering

• Preparing for analysis through data cleansing techniques

• Learn how to handle missing values and detect/process outliers

• Utilizing data transformation, encoding, and scaling techniques

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

Learning Content

1. Learning the basics of feature engineering!

2. Transforming data into an easy-to-analyze format!

3. Starting with basic visualization techniques!

4. All the way to advanced visualization techniques at once!

5. Visualize maps without coding!

Frequently Asked Questions Q&A

1. Do I need prior knowledge of AI, coding, or design?
   A. This course is designed with the goal of providing skills that anyone interested in AI can immediately apply to their work; therefore, no prior knowledge of AI, coding, or even Excel proficiency is required.

2. Are there any requirements or prerequisites for taking this course?
   A. Since this is a practice-oriented course, it is recommended to have a dual monitor or an extra device so you can separate the lecture screen from your practice screen.

3. Orange? Do I need to purchase separate software?
   A. Orange is a software distributed for free, and since I will teach you everything from downloading to installation step-by-step, anyone can easily set up an AI data analysis environment. By using the Portable version, it can be used without an external internet connection, making it suitable even for high-security work environments.

About the Instructor

Please check before taking the course!