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Statistics and Data Mining for Data Science

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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161 Reviews

Olajide Jolaade Sophiyyah

pleased with the lesson
2025-10-20

Satish Bharat Bharati

Good
2025-10-10

Laone Katlego Sedisa

Easy to understand
2025-10-09

Sukanya bv

Nice
2025-10-04

Kirolous Safwat Shafik Maximous

good
2025-09-29

Muhammad Naseem

good
2025-09-27

Muhammad Jawad Ali

good
2025-09-24

pujitha d

Good
2025-09-20

Aditya bhardwaj

Good, also learn something from this and get potential to display/share the concept to others.
2025-09-20

Ajith kumar

Good
2025-09-13

Suyash Dnyaneshwar sapkal

Very good course 
2025-09-13

Abdullah Umer

Very Good Course!!!
2025-09-11

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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 .