[Big Data Learning Center] (Free) 65th, 66th Open House - Scoring, Interval, Optimal Scaling / Marginal Effects and Subgroup Analysis

Name: [Big Data Learning Center] (Free) 65th, 66th Open House - Scoring, Interval, Optimal Scaling / Marginal Effects and Subgroup Analysis
Rating: 5 (1 reviews)

The 65th Open House is about showing how data analysis is enriched by changing the type of variables. It mainly covers scoring, binning, and optimal scaling. The 66th Open House is about learning in detail about the concept and understanding of marginal effects and subgroup analysis.

(5.0) 1 reviews

131 learners

Level Basic

Course period 1 months

dataai

Statistics

spss

Statistics

spss

What you will gain after the course

Ranking and scoring of continuous variables
Interval method for continuous variables
Optimal scaling and quantification of categories
Concept and understanding of the surrounding effect
Concepts and practical examples of subgroup analysis

Big Data Learning Center can be utilized in various industries.

We are a professional training institution that provides practice-oriented training programs.

With a team of instructors with specialized knowledge, we provide practical training that can be applied immediately in the workplace.

We help students acquire the skills needed for real-world work.

👆 Main training programs

Training using SPSS, a statistical software
Training using Amos, a software for structural equation modeling (SEM).
Coding education using R/Python
SCIE and SSCI training for paper writing
Training for specialists in specific fields (e.g. medical professionals)
SW education that can be learned without coding

We also offer many other training and seminars, so please visit our website to check them out for yourself! 😊

(Regular education / e-learning / open house / practical seminar / books / commissioned education / tutor)

🔹 Free Data Qualification (DQ) Assessment: https://www.dataai.kr/main/page.jsp?code=dataquotient

🔹 Check out various training programs : https://www.dataai.kr

Recommended for
these people

Who is this course right for?

For those who want to learn data analysis methods according to variable type
For those who want to learn analysis methods using SPSS version 29
Anyone who wants to learn about marginal effects and subgroup analysis

Need to know before starting?

Understanding basic statistics
Basic knowledge of SPSS

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Learners

Reviews

Answers

4.7

Rating

Courses

빅데이터 러닝센터는 다양한 산업 분야에서 활용할 수 있는 실무 중심의 교육 프로그램을 제공하는 교육 전문 기관입니다. 전문 지식을 갖춘 강사진과 함께, 현업에서 바로 적용할 수 있는 실습 위주의 교육을 실제 업무에 활용해 보시기 바랍니다. 😊

사이트 바로가기: https://www.dataai.kr/main/index.jsp

Curriculum

All

4 lectures ∙ (2hr 2min)

Section 1. Ranking and Binning

1 lectures ∙ (30min)

1. Ranking and Binning
30:34

Section 2. Scaling

1 lectures ∙ (32min)

2. Scaling
32:27

Section 3. Marginal Effects in Generalized Linear Models

1 lectures ∙ (27min)

3. Marginal Effects in Generalized Linear Models
27:05

Section 4. Subgroup Analysis

1 lectures ∙ (32min)

Published:

Last updated:

Reviews

All

1 reviews

5.0

1 reviews

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Reviews 644
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Average Rating 4.9
5
75% enrolled
It seems like a hard-to-follow but motivating content! Thank you!

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[Big Data Learning Center] (Free) 65th, 66th Open House - Scoring, Interval, Optimal Scaling / Marginal Effects and Subgroup Analysis

What you will gain after the course

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