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course | Data Mining

Boost your profile through Data Mining. Expert trainers, practical exercises, and recognized certification in Abu Dhabi.

DIGTR-526 | Data Mining

Course Sector : Digital Transformation and Innovation

Course dates

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Duration	Date from	Date to	Course Venue	Course fees	Book a course
5 Days	23/11/2026	27/11/2026	Dubai	$4,250	Book now
5 Days	17/01/2027	21/01/2027	Dammam	$4,250	Book now
5 Days	19/04/2027	23/04/2027	Abu Dhabi	$4,250	Book now
5 Days	19/07/2027	23/07/2027	Barcelona	$4,950	Book now

Course Introduction

If you need to learn how to understand and create Machine Learning models used to solve business problems, this course is for you. You will learn in this course everything you need about the Data Mining process, Machine Learning, and how to implement Machine Learning algorithms in Data Mining. This course was designed to provide information in a simple and straightforward way to ease learning methods. You will start from scratch and keep building your knowledge step by step until you become familiar with the most used Machine Learning algorithms.

Course objective

Learn everything about Data Mining and its applications
Understand Machine Learning and its connection with Data Mining
Learn all Machine Learning algorithms, their types, and their usage in business
Learn how to implement Machine Learning algorithms in different business scenarios
Learn how to install and use the Python programming language to create machine learning algorithms in a simple way
Learn how to import your data sets into Python and perform the required cleaning before creating the algorithms
Learn how to interpret the results of each algorithm and compare them with each other to choose the optimum one
Learn how to create graphs in Python, such as scatter and regression graphs, and use them in your analyses

Course audience

Business and technology leaders
Business Unit Managers
Business Development Consultants
General Managers / Regional Managers
Senior and mid-level leaders
Individual leaders of all levels in the organization
Art Director
Marketing Consultants
Marketing Development Manager

Course Outline | Day 01

Introduction to Data Mining

Introduction to Machine Learning
How Does Machine Learning Work
Machine Learning Algorithms Classification
Set up Programming Environment
Install the Anaconda package
Supervised Learning Algorithms

Introduction to Supervised Learning Algorithms

Types of Variables
Introduction to Regression Model
Regression Model Slope
Intercept Value
R-Squared
P-Value
Simple Linear Regression
Concepts used in Machine Learning (Important**)

Course Outline | Day 02

Overview of the dataset

Create a Simple Linear Regression Model in Python-Part 1
Create a Simple Linear Regression Model in Python-Part 2
Create a Simple Linear Regression Model in Python-Part 3
Create a Simple Linear Regression Model in Python-Part 4
Multiple Linear Regression
Dummy Variables
Step-wise Approach
Assumptions of Multiple Linear Regression

Overview of the business problem data

Create Multiple Linear Regression Model in Python-Part 1
Create Multiple Linear Regression Model in Python-Part 2
Create Multiple Linear Regression Model in Python-Part 3
Create Multiple Linear Regression Model in Python-Part 4
Polynomial Regression
Overview of the business problem data
Create a Polynomial Regression Model in Python-Part 1
Create a Polynomial Regression Model in Python-Part 2
Course Rating

Course Outline | Day 03

Introduction to Classification

Introduction to Logistic Regression
Confusion Matrix
Standard Scaler
Overview of the business problem data
Create Logistic Regression Model in Python-Part 1
Create Logistic Regression Model in Python-Part 2
KNN Classification Algorithm
Create a KNN Model in Python
Support Vector Machine (SVM) Classification Algorithm
Create a Support Vector Machine in Python
Naive Bayes Algorithm Part 1
Naive Bayes Algorithm Part 2
Create a Naive Bayes Model in Python
Decision Tree Algorithm
Create a Decision Tree Model in Python
Random Forest Algorithm
Create a Random Forest Model in Python

Course Outline | Day 04

Unsupervised Learning Algorithms

Review Unsupervised Learning Algorithms
Hierarchical Clustering Algorithm
Dendrogram Diagram Method
Overview of the business problem data
Create Hierarchical Clustering Algorithm in Python-1
Create Hierarchical Clustering Algorithm in Python-2
K-means Clustering Algorithm
Using the Elbow Method to Determine Optimal Number of Clusters
Create K-means Clustering Algorithm Model in Python - 1
Create K-means Clustering Algorithm Model in Python - 2
Association Rules (Market Basket Analysis)
Overview of the business problem data
Create Association Rules (Market Basket Analysis) Model in Python - 1
Create Association Rules (Market Basket Analysis) Model in Python - 2
Create Association Rules (Market Basket Analysis) Model in Python - 3

Course Outline | Day 05

Deep Learning

Introduction to Deep Learning
How Does Deep Learning Work Part 1
How Does Deep Learning Work Part 2
Activation Functions
What is Tensorflow
Create Artificial Neural Network Model in Python Part-1
Create an Artificial Neural Network Model in Python Part 2

Course Certificates

BOOST’s Professional Attendance Certificate “BPAC”

BPAC is always given to the delegates after completing the training course,and depends on their attendance of the program at a rate of no less than 80%,besides their active participation and engagement during the program sessions.

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