Statistics and Clustering in Python

This course is part of Data Science Foundations Specialization

Instructor: Robert Zimmer

What you'll learn

  •   In this course you will engage in a variety of mathematical and programming exercises while completing a data clustering project.

    • Skills you'll gain

  •   NumPy
  •   Python Programming
  •   Unsupervised Learning
  •   Data Visualization Software
  •   Probability & Statistics
  •   Jupyter
  •   Data Manipulation
  •   Statistical Analysis
  •   Data Science
  •   Statistics
  •   Machine Learning Algorithms
  •   Descriptive Statistics
  •   Pandas (Python Package)
  •   Data Analysis
  •   Matplotlib

    • There are 4 modules in this course

    This course is the sixth of eight courses. This project provides an in-depth exploration of key Data Science concepts focusing on algorithm design. It enhances essential mathematics, statistics, and programming skills required for common data analysis tasks. You will engage in a variety of mathematical and programming exercises while completing a data clustering project using the K-means algorithm on a provided dataset.

    Week 2: Moving from One to Two Dimensional Data

    Week 3: Introducing Pandas and Using K-Means to Analyse Data

    Week 4: A Data Clustering Project

    Explore more from Data Analysis

    Foundations of Data Science: K-Means Clustering in Python

    Data Analysis with Python

    Statistics with Python

    The Data Science Profession – Student View

    ©2025  ementorhub.com. All rights reserved