Eric Goh Ming Hui
3 min readOct 10, 2024

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FREE R Tutorial - Learn R Programming in a Week.

What is CRISP DM?

For Data Mining process, we usually use CRISP DM data mining process:

Based on: https://www.datascience-pm.com/crisp-dm-2/

Data Mining process steps includes Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment.

Business Understanding step – we need to understand the business and establish the question we need to answer for the data mining

Data Understanding step – we need to understand the data. We can use statistics such as descriptive, regression analysis to understand the data.

Data Preparation step – it is the cleaning of the data and we can remove duplicates here.

Modeling step – we create clustering models, prediction models, classification models.

Evaluation step – we evaluate which models is more accurate and select.

Deployment steps – we can create data products.

For Data Science, at the Deployment steps, we create data products for businesses. We can create softwares that predicts something. In the table, the goal is to build data products for a business.

For Data Mining, at the Deployment steps, we create reports or PowerPoints slides on our results. In the table, the goal is to extracting important information.

Read More on CRISP DM: http://edatascience.great-site.net/2023/03/08/what-is-crisp-dm/

We can use R or Python for Data Science.

R Programming Tutorial

R Programming Basics in 24 Hours

https://gohminghui88.medium.com/r-programming-basics-in-24-hours-162753d884d8

Data Preparation: Data Transformation and Data Preprocessing in R

https://gohminghui88.medium.com/data-transformation-and-data-preprocessing-in-r-b4672aa57acc

Data Understanding: Descriptive Statistics in R

https://gohminghui88.medium.com/data-understanding-descriptive-statistics-in-r-7c31fe8e8816

Data Understanding: Inferential Statistics in R

https://gohminghui88.medium.com/data-understanding-inferential-statistics-in-r-e2ab8bca5772

Data Understanding: Correlation and Regression Analysis

https://gohminghui88.medium.com/data-understanding-correlation-and-regression-analysis-4907550c0302

Data Understanding: Data Visualization in R

https://gohminghui88.medium.com/data-understanding-data-visualization-in-r-ab66b49fcdaf

Modeling and Evaluation: KNN in R

https://gohminghui88.medium.com/modeling-and-evaluation-knn-in-r-5239a27326c6

Modeling and Evaluation: Linear Regression in R

https://gohminghui88.medium.com/modeling-and-evaluation-linear-regression-in-r-0ad0f34eb210

Modeling: Neural Network in R

https://gohminghui88.medium.com/modeling-neural-network-in-r-196352f8058d

Modeling: Naive Bayes in R

https://gohminghui88.medium.com/modeling-naive-bayes-in-r-cf4ceb6914df

Deployment: RMarkdown in R

https://gohminghui88.medium.com/deployment-rmarkdown-in-r-6addad342ce3

If you want to learn more about data science, you can go to http://svbook.great-site.net/?i=1

SVBook Pte. Ltd. assists people to know What is Data Science, Text Analysis, Text Mining, Text Analytics, AI and Machine Learning, process of data, Data Mining to Insights Process using CRISP DM. Data Mining Process Steps includes Business Understanding, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment.
DSTK.Tech (https://dstk2.sourceforge.io/) creates tools and technologies for Data Science, develops open source tools for data science.

EMHAcademy (http://emhacademy.great-site.net/) offers courses to help people become Certified Data Scientist.

Thanks for readings.

Kind Regards,
Eric Goh

Buy me a cup of coffee:https://www.buymeacoffee.com/gohminghui

References:

https://aws.amazon.com/what-is/data-science/

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Eric Goh Ming Hui

(G.Dip, M.Tech, eMBA) | Author of "Learn R for Applied Statistics" | Founder of SVBook Pte. Ltd. : http://svbook.great-site.net