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Best Data Mining Course in Bangalore – Uncover Insights, Make Informed Decisions!

Enroll in Big mining Course in Bangalore. Courses for people of all skill levels, whether they are beginners or professionals looking to improve. Get the option of EMI and receive support for placements!
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Course Duration: 80h
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About Course

The 80-hour Data Mining Course covers basic and advanced concepts. Participants learn data mining principles and practical skills for real-world use. The Data Mining Course offers practical skills and real-world insights in the field of data mining, going beyond traditional training.

Graduates emerge with the ability to extract meaningful patterns from data, enabling them to contribute to data-driven decision-making. Benefit from the best data mining course in Bangalore with flexible EMI options, a comprehensive syllabus, and certification upon completion. Dive into the world of data mining and embark on a journey of uncovering valuable insights from diverse datasets! Our data mining course in Bangalore is suitable for people of all skill levels, whether you are a beginner or an experienced professional. You will learn practical experience and gain a deep understanding of data mining tools and techniques through hands-on exercises, case studies, and industry projects. Become a skilled data miner and accelerate your career in this rapidly growing field.

The hourly breakdown is indicative and may vary based on the pace of the class and additional interactive activities.

Practical exercises, case studies, and real-world applications should be incorporated throughout the sessions to reinforce learning.

What you’ll learn

     Introduction to Data Mining

     Understanding the fundamentals of data mining

     Overview of data mining techniques and applications

     Data Preprocessing and Cleaning

     Techniques for handling missing data and outliers

     Data normalization and transformation

     Supervised Learning for Classification

     Introduction to classification algorithms (Decision Trees, SVM, etc.)

     Building and evaluating classification models

     Unsupervised Learning for Clustering

     Exploring clustering algorithms (K-Means, Hierarchical clustering, etc.)

     Practical implementation of clustering techniques

     Association Rule Mining

     Understanding association rule mining and its applications

     Apriori algorithm for discovering association rules

     Project and internship

Requirements

  • Basic Knowledge of Statistics: Understanding of statistical concepts is recommended.
  • Programming Fundamentals: Familiarity with programming languages like Python or R.

Course Content

Fundamentals of Data Mining (5 hours)

  • Definition and scope of data mining
  • Applications and impact of data mining in various industries

Data Mining Techniques (10 hours)

Data Preprocessing Techniques (8 hours)

Practical Data Cleaning (7 hours)

Introduction to Classification (8 hours)

Practical Implementation of Classification (12 hours)

Clustering Algorithms (8 hours)

Practical Implementation of Clustering (7 hours)

Introduction to Association Rule Mining (8 hours)

Practical Implementation of Association Rule Mining (7 hours)

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Course level:All Levels
Course Duration: 80h
Enrolled:0
Last Updated:March 8, 2024

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