Coursera
MOOC / Non-credit
0
Statistics and Clustering in Python
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.
A
82/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 35/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- understanding the K-means clustering algorithm
- applying statistical concepts to real-world data
- programming in Python for data analysis
- designing algorithms for data clustering
Course objectives
- to equip students with practical skills in data analysis
- to develop understanding of algorithm design principles
- to enhance proficiency in Python programming for statistical tasks
Machine Learning
Data Analysis
#python
#data analysis
#data science
#statistics
#programming
#mathematics
#data clustering
#algorithm design
#statistical concepts
#k-means
$49.00
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