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Data Mining Course Info

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.

Data Mining Course Content

Fundamentals of Data Mining (5 hours)

Lesson 1: Definition and scope of data mining
Lesson 2: Applications and impact of data mining in various industries

Data Mining Techniques (10 hours)

Lesson 1: Overview of data mining algorithms
Lesson 2: Types of data mining: supervised, unsupervised, and association rule mining

Data Preprocessing Techniques (8 hours)

Lesson 1: Handling missing data and outliers
Lesson 2: Data transformation and normalization

Practical Data Cleaning (7 hours)

Lesson 1: Implementing data cleaning techniques on real-world datasets
Lesson 2: Evaluating the impact of preprocessing on data quality

Introduction to Classification (8 hours)

Lesson 1: Basics of classification algorithms (Decision Trees, SVM, etc.)
Lesson 2: Building a classification model: Steps and considerations

Practical Implementation of Classification (12 hours)

Lesson 1: Hands-on exercises with classification algorithms
Lesson 2: Model evaluation, metrics, and tuning

Clustering Algorithms (8 hours)

Lesson 1: Exploring clustering techniques (K-Means, Hierarchical clustering, etc.)
Lesson 2: Use cases and applications of clustering

Practical Implementation of Clustering (7 hours)

Lesson 1: Hands-on exercises with clustering algorithms
Lesson 2: Evaluating clustering results and interpreting clusters

Introduction to Association Rule Mining (8 hours)

Lesson 1: Understanding association rule mining and market basket analysis
Lesson 2: Apriori algorithm for discovering association rules

Practical Implementation of Association Rule Mining (7 hours)

Lesson 1: Applying association rule mining to real-world datasets
Lesson 2: Interpretation and visualization of association rules

Special Offer take any 4 courses for INR 21999.00*

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Data Mining Course Info

Data Mining Course Content

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