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Data Mining: Theories and Algorithms for Tackling Big Data 

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Data Mining: Theories and Algorithms for Tackling Big Data
 at 
edX 
Overview

Unraveling the mysteries of Data Mining and Big Data, this course is a must-have for any budding Data Scientist

Duration

14 weeks

Start from

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Mode of learning

Online

Schedule type

Self paced

Difficulty level

Advanced

Official Website

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Credential

Certificate

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Data Mining: Theories and Algorithms for Tackling Big Data
 at 
edX 
Course details

Skills you will learn
What are the course deliverables?
  • Basic data science concepts
  • Typical data mining techniques
  • Applications for data mining
  • A taste of research in data mining
  • Funny stories about data science
More about this course
  • Despite the large volume of data mining papers and tutorials available on the web, aspiring data scientists find it surprisingly difficult to locate an overview that blends clarity, technical depth and breadth with enough amusement to make big data analytics engaging. This course does just that.
  • Each module starts with an interesting real-world example that gives rise to the specific research question of interest.
  • Students are then presented with a general idea of how to tackle this problem along with some intuitive and straightforward approaches.
  • Finally, a number of representative algorithms are introduced along with concrete examples that show how they function in practice.
  • While theoretical analysis sometimes overcomplicates things for students, here it's applied to help them better understand the key features of the techniques.
Read more

Data Mining: Theories and Algorithms for Tackling Big Data
 at 
edX 
Curriculum

Basic data science concepts

Typical data mining techniques

Applications for data mining

A taste of research in data mining

Funny stories about data science

Data Mining: Theories and Algorithms for Tackling Big Data
 at 
edX 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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