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Statistics and Clustering in Python
Coursera
Course
Unknown

Statistics and Clustering in Python

University of London

Explore data science concepts with focus on algorithm design, enhancing math, statistics, and programming skills via a K-means clustering project in Python.

Unknown4 weeksEnglish2,718 enrolled

About 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.

What You'll Learn

  • Engage in diverse mathematical and programming exercises
  • Complete a data clustering project with K-means algorithm
  • Enhance analytical and programming skills in data science

Prerequisites

  • Basic computer and internet skills
  • Ability to read course instructions in English and complete short exercises

Instructors

R

Robert Zimmer

Professor

Topics

Data Analysis
Data Science
Algorithms
Computer Science
Descriptive Statistics
Matplotlib
Data Preprocessing
Statistical Analysis
Machine Learning Algorithms
Statistics

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تحليل البيانات
علوم البيانات
الخوارزميات
علوم الحاسوب
الإحصاءات الوصفية
التصوير البياني
تجهيز البيانات
التحليل الإحصائي
Machine Learning Algorithms
Statistics

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