Data Mining Training Overview

Data Mining Training Course Outline

Module 1: Getting Started with Data Mining

  • Introduction to Data Mining
  • Types of Data
  • Data Objects and Attribute Types
  • Data Visualization
  • Measuring Data Similarity and Dissimilarity

Module 2: Data Preprocessing

  • Introduction to Data Preprocessing
  • Data Integration
  • Data Cleaning
  • Data Reduction
  • Data Transformation
  • Data Discretization

Module 3: Data Warehousing and Online Analytical Processing

  • Basic Concepts of Data Warehousing
  • Data Cube and OLAP
  • Design of Data Warehouse
  • Implementation of Data Warehouse
  • Uses of Data Warehouse

Module 4: Data Cube

  • Preliminary Concepts
  • Data Cube Computation Methods
  • Multidimensional Data Analysis in Cube Space

Module 5: Mining Frequent Patterns, Associations, and Correlations

  • Frequent Itemset Mining Methods
  • Pattern Evaluation Methods

Module 6: Advanced Pattern Mining

  • Pattern Mining in Multilevel and Multidimensional Space
  • Constraint-Based Frequent Pattern Mining
  • Mining High-Dimensional Data and Colossal Patterns
  • Mining Compressed or Approximate Patterns
  • Pattern Exploration and Application

Module 7: Classification

  • Introduction to Classification
  • Decision Tree Induction
  • Bayes Classification Methods
  • Rule-Based Classification

Module 8: Advanced Methods of Classification

  • Backpropagation
  • Classification Using Frequent Patterns
  • Lazy Learners
  • Genetic Algorithms, Rough Set Approach, and Fuzzy Set Approaches

Module 9: Cluster Analysis

  • Introduction to Cluster Analysis
  • Partitioning and Hierarchical Methods
  • Density-Based and Grid-Based Methods

Module 10: Advanced Cluster Analysis

  • Probabilistic Model-Based Clustering
  • Clustering High-Dimensional and Graph Data
  • Clustering with Constraints

Module 11: Outlier Detection

  • Outlier Analysis
  • Outlier Detection Methods
  • Statistical and Proximity-Based Approaches
  • Clustering-Based and Classification-Based

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Who should attend this Data Mining Training Course?

The Data Mining Course in the United States is tailored to impart knowledge on the process of extracting patterns, correlations, and information from large amounts of data stored in databases, data warehouses, or other information repositories. This course can be beneficial for various professionals aiming to derive insights from data, including:

  • Data Scientists
  • Business Analysts
  • Database Administrators
  • Marketing Analysts
  • Researchers and Statisticians
  • Machine Learning Engineers
  • Operations Analysts

Prerequisites of the Data Mining Training Course

There are no formal prerequisites required for attending this Data Mining Course.  However, some prior understanding of IT concepts can be helpful.

Data Mining Training Course Overview

Data mining is the method of detecting patterns in large data sets by making use of statistics, machine learning and database systems. It includes analyzing large amounts of data and converting it into useful information. The insights gained from Data Mining Course in the United States can be used for fraud detection, marketing, scientific discovery, etc.

This Data Science Training Course in the United States will provide delegates with extensive knowledge on data mining. This course will cover the main concepts of data mining, including data objects, data visualization, measuring data similarity, and data preprocessing. Delegates will also learn about data transformation and data discretization. Data warehousing and online analytical processing will also be crucial concepts of this course, including basic data warehousing concepts, data cube, and OLAP.

In addition, this 2-day training course by The Knowledge Academy in the United States will cover mining frequent patterns, associations, and correlations including pattern evaluation methods. Delegates will acquire knowledge on advanced pattern mining that comprises constraint-based frequent pattern mining, mining high-dimensional data and colossal patterns, and pattern exploration and application.

Course Objectives

  • To comprehend Data Mining concepts and its practical applications
  • To acquire data preprocessing skills for effective analysis
  • To grasp data transformation and discretization techniques
  • To understand data warehousing and Online Analytical Processing (OLAP)
  • To become proficient in frequent pattern mining and associations
  • To develop expertize in advanced pattern mining, classification, clustering, and outlier detection

Upon completing this Data Mining Training Course in the United States, delegates will gain advanced skills in extracting valuable insights from large datasets, enhancing their ability to make informed business decisions. Additionally, the course equips them with practical knowledge of cutting-edge data mining techniques, positioning them for career advancement in the rapidly evolving field of data analytics.

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What’s included in this Data Mining Training Course?

  • World-Class Training Sessions from Experienced Instructors
  • Data Mining Certificate
  • Digital Delegate Pack

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Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Mining Training. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Unlock your potential with The Knowledge Academy's Data Mining Training, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

What our customers are saying

Data Mining Training FAQs

Data Mining is the process of discovering patterns, trends, and insights from large sets of data using various techniques, often with the goal of making informed business decisions.
In this Data Mining Course, you will learn essential techniques for extracting meaningful patterns and knowledge from large datasets, enabling you to make informed decisions and predictions.
There are no formal prerequisites for attending this course. However, basic knowledge of the IT industry will be beneficial.
Learning a Data Mining Course in the United States offers the advantage of acquiring skills to uncover valuable patterns in data, enhance decision-making processes, and gain a competitive edge in various fields by leveraging data-driven insights.
This Data Mining Training Course includes world-class training sessions conducted by experienced instructors, a Data Mining Certificate upon completion, and a digital delegate pack.
This Data Mining Course spans for a duration of 2 days.
The ease of learning Data Mining depends on individual aptitude and prior knowledge, but with structured courses and practice, many find it accessible, especially with a basic understanding of statistics and data analysis.
This Data Mining Training Course is ideal for Analysts, Data Scientists, and professionals seeking to enhance their skills in extracting meaningful insights from large datasets to support informed decision-making.
After completing the Data Mining Training Course, delegates can expect to qualify for job roles such as Data Analyst, Business Intelligence Analyst, Data Scientist, and other positions that involve extracting valuable insights from data to drive informed decision-making in various industries.
Yes, the delegates can choose to opt for taking this Data Mining Training in self-paced mode under The Knowledge Academy's flexible learning options.
Yes, our Data Mining Courses include 24/7 support, ensuring delegates can access assistance and resources at any time for a seamless and effective learning experience.
The four stages of Data Mining include data collection and preparation, data exploration and transformation, model building and evaluation, and deployment of the model for predictions or insights.
The two characteristics of Data Mining are its automatic discovery of patterns and relationships in large datasets, and the utilization of statistical, mathematical, and machine learning techniques to predict future trends and behaviors.
The training fees for Data Mining Training certification in the United States starts from $3195
The Knowledge Academy is the Leading global training provider for Data Mining Training.
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Many delivery methods

Flexible delivery methods are available depending on your learning style.

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High quality resources

Resources are included for a comprehensive learning experience.

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"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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