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Data Analysis

Udemy - Data Mining for Business Analytics & Data Analysis in Python 2025-3

0 students Last updated Jul 2025

About the course

Udemy - Data Mining for Business Analytics & Data Analysis in Python 2025-3

Course content

Sections: 10

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Activities: 1

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Resources: 136

Announcements
1 Introduction to Data Mining course for Business Analytics Data Analysis
3 Course Resources Material and Colab setup Important
4 Diogos Introduction and Background

1 Game Plan for Survival Analysis section
2 Survival Analyisis Introduction
3 Case Study Briefing and Step by Step Guide
4 Python Changing Directory
5 Python Importing Libraries
6 Python Loading Data
7 Python Transforming Dependent Variable
8 Kaplan Meyer Estimator
9 Censoring
10 Python Kaplan Meyer Estimator
11 Python Calculating Specific Events
12 Python Plotting Survival Curves
13 Python Plotting Cumulative Curves
14 Log Rank Test
15 Python Subsetting Dataframe
16 Python Kaplan Meyer Estimator per Gender
17 Python Plotting both Survival Curves
18 Python Log Rank Test
19 Extra Resources and Survival Analysis Challenge
20 Python Survival Analysis Challenge Solutions

1 Game Plan
2 Cox Proportional Hazard Regression
3 Case Study Briefing and Step by Step Guide
4 Python Preparing Script and Data
5 Python Cox Proportional Hazard
6 Python Regression Summary Visualization
7 Extra Resources and Challenge
8 Python Solution Challenges

1 Game Plan
2 Case Study Briefing and Step by Step Guide
3 Problem Statement
4 Python Installing libraries
5 Python Importing Libraries and Data
6 Introducing CHAID
7 CHAID Statistics and Quirks
8 Python Removing column and unique values check
9 Python Visualizing Jobs Variable
10 Python Transforming Jobs Variable
11 Python Transforming Experience Variable
12 Python Transform Minimum Variable
13 Python Modify other variables to dummy variables
14 Python CHAID Preparation
15 Python CHAID Model
16 Python Data Visualization with CHAID Model
17 Extra Resources and Challenge
18 Python Challenge solutions

1 Game Plan
2 Case Study Briefing and Clustering
3 Gaussian Mixture Model vs Kmeans
4 Python Changing Directory and Importing Libraries
5 Python Loading Data
6 AIC BIC and Step by Step Guide
7 Python Optimal Clusters
8 Python Gaussian Mixture Model
9 Python Cluster Prediction
10 Python Probability of belonging to each cluster
11 Python Cluster Interpretation
12 Extra Resources and Challenge
13 Python Challenge solutions
14 Will you help me

1 Game Plan
2 What is Dimension Reduction
3 Principal Component Analysis
4 Python Importing Libraries
5 Python Loading Data
6 Python Transforming String Variables
7 Python Correlation Matrix
8 Python Standardizing Variables
9 Python Optimal Number of Components
10 Python Cumulative Explained Variance
11 Python PCA
12 Python PCA interpretation
13 Manifold Learning and t SNE
14 Python t SNE
15 Python Visualizing Manifold Learning
16 Extra Resources and Challenge
17 Python Challenge Solutions

1 Game Plan
2 Step by Step Guide and Case Study Briefing
3 Python Importing Libraries
4 Python Loading Data
5 Association Rule Learning
6 Python Create Transaction List
7 Python Encoding Transactions
8 Apriori algorithm
9 Python Association Rule Learning
10 Python Apriori Visualization
11 Extra Resources and Challenge
12 Python Challenge Solutions

1 Game Plan for Random Forest
2 Case Study Briefing and Step by Step Guide
3 Python Importing Libraries
4 Python Loading Data
5 Python Transforming Categorical Variables
6 Random Forest
7 Python Training and Test Set
8 Python Random Forest
9 Confusion Matrix AUC and F1 Score
10 Python Random Forest Predictions
11 Python Classification Report
12 Python Feature Importance for Business Analytics
13 Extra Resources and Challenge
14 Python Challenge Solutions

1 Game Plan for Explainable Artificial Intelligence
2 LIME
3 Python Preparing LIME
4 Python Explaining Predictions
5 Extra Resources and Challenge
6 Python Challenge Solutions

1 Game Plan for XGBoost and SHAP
2 Case Study Briefing and Step by Step Guide
3 Python Importing Libraries
4 Python Loading Data
5 Introducing XGBoost
6 How XGBoost works part 1
7 How XGBoost works part 2
8 XGBoost quirks
9 Python Isolate X and Y
10 Python Training and Test Set
11 Python XGBoost Matrices
12 XGBoost Parameters
13 Python XGBoost Parameters
14 Python XGBoost Model
15 Evaluate Regression based Problems
16 Python Predictions
17 Python MAE and RSME
18 SHAP
19 Python Preparing SHAP
20 Python Local Interpretability
21 Python Dependency Plots
22 Python Global Interpretability
23 Extra Resources and Challenge
24 Python Challenge Solutions

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Udemy - Data Mining for Business Analytics & Data Analysis in Python 2025-3

Udemy - Data Mining for Business Analytics & Data Analysis in Python 2025-3

Course modified date: 6 July 2025

Udemy - Data Mining for Business Analytics & Data Analysis in Python 2025-3

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