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Data Science

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Data Analysis

Advanced Data Analysis for Beginners, Orange Step-by-Step Master Pack

Data analysis is complete with this one tool. Get started with Orange AI data analysis without coding!

(5.0) 2 reviews

18 learners

  • Masocampus
시리즈
no-code
데이터분석
AI
Orange3
No-code
Machine Learning(ML)
Statistics

What you will learn!

  • How to use Orange, a no-code artificial intelligence data analysis tool

  • The entire data analysis process that uses real data to gain insights.

  • Why You Should Use Orange Among Various Data Analysis Tools

  • From data mining to preprocessing, supervised learning, and machine learning techniques

📢 Please note before taking the class

This one tool is all you need for data analysis. Get started with Orange AI data analysis without coding!

This one tool is all you need for data analysis.

Comprehensive data analysis tool!

With the more powerful Orange
Start analyzing data easily

Check the results yourself
Feel how powerful a tool it is

Orange, data analysis that sets you apart from others!

Orange lets even beginners see the data analysis process at a glance!
A variety of data skills that were not available with Excel alone

- Completely free! From the basics to the practical use of Orange
– Completely no-coding, Python-based
– Machine learning made easy and fast

Usher in a new era of data analytics with Orange 3.
Let AI help you derive data insights.

Course Experience Group Reviews
IT lectures created with expertise and know-how

Advanced data analysis starting from the basics


Easy data analysis even for beginners

I wanted to start data analysis, but Python and R were too difficult or required specialized coding knowledge, and ChatGPT always gave me the wrong answer, so I gave up.

But, I really enjoyed this course because it allowed me to learn tools that allow for easy data analysis and even advanced usage !

Experience Group Review (Lee**)


Completely no-coding, Python-based

I liked that I could quickly perform the analysis I wanted just by giving them the data.

I hesitated because I didn't know what to do even when I started coding.
It was based on Python and it was completely no-coding, so it was easier to get started !
The tool called Orange itself isn't difficult, so I plan to learn more analysis techniques :)

Experience Group Review (Po****)


Master all the steps at once

Although I was born and raised in the field of biology, as the world changes, data analysis and visualization seem to have become essential.

It's a field that I've given up on many times because it's difficult, but I was able to learn it without fear because it's so intuitive .
Above all, I think the best thing is that you can learn step by step, from installation to basic and advanced use .


Experience Group Review (Se*)



Orange Data Analysis Comprehensive Curriculum Features

This comprehensive course covers everything from the fundamentals of data analysis to advanced predictive modeling .

1. From basic to advanced
A systematic curriculum that includes data exploration, visualization, machine learning, text mining, and network analysis.

2. Efficient lectures that only cover the key points
Intensive and efficient core training that takes into account busy schedules

3. A comprehensive overview of the latest data analysis techniques.
The latest data analysis technology trends summarized in one lecture.

4. Becoming a Data Analysis Expert
Learn how to derive powerful insights without complex coding.

I confidently recommend this to these people.

– All office workers and managers who want to increase productivity through data analysis
– IT professionals who want to apply the latest data analysis techniques to their work.
– Managers and planners who want to understand and apply data-driven business strategies.
– Job seekers and students in fields requiring in-depth data visualization, such as finance and consulting

This course provides you with everything you need to grow into a data analytics professional.
Experience the revolution in data analysis with Orang e's powerful features and cutting-edge techniques.


Introducing the knowledge sharer


Lecture Features

STEP 1. Introduction to AI-Based Data Analysis

Learn how to use the no-coding artificial intelligence tool Orange and learn the basic concepts of machine learning data analysis.


STEP 2. Data Preprocessing and Visualization

Learn data cleansing and missing value handling, data transformation, encoding, and scaling techniques, and learn data visualization techniques.

STEP 3. Predictive Machine Learning Analysis

Strengthen practical application skills through hands-on practice of advanced analytical techniques, such as building and evaluating predictive models and acquiring optimization techniques.

STEP 4. Classification Machine Learning Analysis

Understanding and building various classification models, such as logistic regression, SVM, and random forests.

STEP 5. Advanced Data Analysis in Practice

Master machine learning-based data analysis skills by applying advanced techniques to real-world cases.



Expected Questions Q&A

Q. Do I 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 does not require any AI, coding, or even Excel skills.

Q. 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.

Q. 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.


Please check before taking the class!

  • 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 screen and the practice screen.


  • Additionally, since the training is conducted based on Windows OS, we recommend taking the course in a Windows environment.







Recommended for
these people

Who is this course right for?

  • All workers and managers who want to increase productivity through data analysis

  • IT professionals who want to apply the latest data analysis techniques to their work

  • Managers and planners who want to understand and apply data-driven business strategies

  • Job seekers and students in fields that require data visualization, such as finance and consulting

Need to know before starting?

  • This course is designed to provide anyone interested in data analysis with the ability to immediately apply it in practice. It does not require AI, coding, or even Excel skills.

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Curriculum

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136 lectures ∙ (43hr 24min)

Course Materials:

Lecture resources
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Reviews

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2 reviews

5.0

2 reviews

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    • masocampus
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