Course information

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 Visualisation
  • Measuring Data Similarity and Dissimilarity

Module 2: Data Preprocessing

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

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?

The Data Mining Course 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
  • Statisticians
  • Machine Learning Engineers

Prerequisites of the Data Mining Training

There are no formal prerequisites required for attending this Data Mining Course. Although, a 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 analysing large amounts of data and converting it into useful information. The insights gained from Data Mining can be used for fraud detection, marketing, scientific discovery, etc.

This course will provide delegates with extensive knowledge on Data Mining. This course will cover the main concepts of Data Mining, including data objects, data visualisation, measuring data similarity, and data preprocessing. Delegates will also learn about data transformation and data discretisation. 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 offered by The Knowledge Academy 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. By the end of this course, delegates will have gained comprehensive knowledge on classification methods, cluster analysis, and outlier detection.

Course Objectives

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

Upon completing this Data Mining Training Course, 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.

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What’s included in this Data Mining Training?

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

Why choose us

Our Gaborone venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Gaborone is the capital city of Botswana with a population of around 230,000 inhabitants. The city has around 10% of the country’s population. Gaborone is situated in the south-western corner of Botswana on the Notwana River. The city is the economic capital of the country with a plethora of companies in the stock exchange.The city has over a population of 70% who have gained a secondary level education with around 2% never attending a school. Gaborone has private and public schools including Westwood International School, Maru-a-Pula School and Legae Academy.Gaborone is home to The University of Botswana with over 15,000 students and 2,000 staff members. The university has six faculties including education, engineering, humanities and social sciences. The university has a collaboration with the University of Melbourne. 

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Address

Lansmore Masa Square
Plot 54353,
New CBD | Cnr Khama Crescent & Western Avenue,
Gaborone,
Botswana

T: +44 1344 203 999

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Data Mining Training in Gaborone. 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 in Gaborone, 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.

Experience the most sought-after learning style with The Knowledge Academy's Data Mining Training in Gaborone. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Data Mining Training in Gaborone sessions.

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Highly experienced trainers

Boost your skills with our expert trainers, boasting 10+ years of real-world experience, ensuring an engaging and informative training experience

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State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible

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Small class sizes

Our Classroom courses with limited class sizes foster discussions and provide a personalised, interactive learning environment

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Great value for money

Achieve certification without breaking the bank. Find a lower price elsewhere? We'll match it to guarantee you the best value

Streamline large-scale training requirements with The Knowledge Academy's In-house/Onsite at your business premises. Experience expert-led classroom learning from the comfort of your workplace and engage professional development.

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Tailored learning experience

Leverage benefits offered from a certification that fits your unique business or project needs

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Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.

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Team building opportunity

Our offers a unique chance for your team to bond and engage in discussions, enriching the learning experience beyond traditional classroom settings

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Monitor employees progress

The course know-how will help you track and evaluate your employees' progression and performance with relative ease

What our customers are saying

Data Mining Training in Gaborone FAQs

Please arrive at the venue at 8:45am.
There are no formal prerequisites for attending this course. However, basic knowledge of the IT industry will be beneficial.
Anyone who is interested in learning the data mining can attend this course. This course is best-suited for IT managers aiming to improve data management and analysis techniques.
We are able to provide support via phone & email prior to attending, during and after the course.
Delegate pack consisting of course notes and exercises, Manual, Experienced Instructor, and Refreshments
This course is 2 days.
Once your booking has been placed and confirmed, you will receive an email which contains your course location, course overview, pre-course reading material (if required), course agenda and payment receipts
The training fees for Data Mining Trainingin Gaborone starts from $3195
The Knowledge Academy is the Leading global training provider for Data Mining Training.
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Why choose us

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Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

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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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