Customer Segmentation Engine

Data Scientist Data Analyst Projects

Divide the customer base into several groups of individuals that share a similarity in different ways that are relevant to marketing such as gender, age, interests, and miscellaneous spending habits.


What will you learn?

  • You will learn how to read a data set
  • You will learn how to perform basic statistics
  • You will learn how to perform Univariate Analysis
  • You will understand how to perform Bivariate Analysis
  • You will learn to use Various Data Visualization Charts
  • You will learn how to use Data Visualizations to analyze the insights
  • You will learn to find new patterns from the data to make business decisions.
  • You will learn to process the data for Clustering analysis
  • You will learn about the elbow method to determine the optimum value of K in K Means Clustering
  • You will understand about K Means Clustering
  • You will also get to learn about other Clustering algorithms
  • You will learn how silhouette Score

Who is this Course for?

Customer Segmentation Engine

Course Requirements

  1. Python Installed in your System
  2. Jupyter Notebook Installed in your System
  3. Familiarity with Basic Concepts of Python
  4. Knowledge about Python Functions
  5. Familiarity with Concepts of Data Analysis
  6. Understanding of Data Visualizations
  7. Understanding of Data Processing
  8. Knowledge of Elbow Method
  9. Knowledge of Unsupervised Algorithms
  10. Knowledge of K Means Clustering Algorithm







Course Curriculum

Section 1
Customers Base Segregator
Customers Base Segregator

Every Course Comes with…


Every Projects comes with 2-3 hours of video lessons giving you step-by-step solution with explanation of the entire project


You will get the entire project workbooks, datasets, and other resources with it


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