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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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206 Reviews

Pratik kumbhar

Excellent
2026-03-08

Emmanuel Kwadwo Yeboah

Great Course. I wish it could get deeper.
2026-03-07

Priyanshu Raj

good
2026-03-06

Nkosinathi Mbatha

great
2026-02-23

Pravesh yadav

Hi
2026-02-18

sanaalebbih

ITS A GOOD COURSE
2026-02-13

Saad saaed abdalwanis

هائل
2026-02-06

Ferina Naufali Nazifa

amazing
2026-01-26

Aiman Shahbaz

Excellent
2026-01-22

NADZIROTUL FITHRIYAH

good
2026-01-14

OMAR AL AZZAWI

good
2026-01-11

Pranavi K

Super
2026-01-08

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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 .