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Statistics and Data Mining for Data Science Course

Track :

Programming

Lessons no : 4

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What will you learn in this course?
  • Master statistical analysis techniques for data science, including regression, hypothesis testing, and probability models for large datasets
  • Apply data mining algorithms such as clustering, classification, and association rules to extract actionable insights from complex data
  • Utilize statistical approaches to identify patterns, trends, and anomalies in massive datasets for informed decision-making
  • Implement practical data analysis workflows using statistical tools and data mining software to solve real-world data science problems

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Lessons | 4


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Excellent
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Good
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medium
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Acceptable
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4.4
228 Reviews

M Roma

GOODDDDDDD
2026-10-28

Nisarga E N

NICE
2026-10-27

Varsha N C

Good
2026-10-27

Naya Ajeeb

Excellent introductory course. The lessons were concise and provided a great foundational overview of key statistical and data mining concepts
2026-10-23

Ummay Jaba Maliha

The course was well structured and easy
2026-10-03

Birahim Mbaye

EXCELLENT
2026-09-30

Moussa

Cours instructif
2026-09-19

Bandita Maharathi

Good
2026-09-14

Anuruddha Saha

Good course
2026-08-15

Gisela Mara

Muy buena explicación de los temas, podría contener algún ejemplo de ejercicio práctico
2026-08-04

M.vengadeshwaran

Super
2026-08-01

Rutuja Thorat

Amazing lessons
2026-06-19

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Statistics and Data Mining for Data Science Course Description

Statistical Analysis and Data Mining addresses the broad area of data analysis, including data mining algorithms, statistical approaches, and practical applications. Topics include problems involving massive and complex datasets .