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This brochure provides a high level description of the Data Mining training programs o�ered by Prince Megren Data Mining Center (MEGDAM). The intent of these training program is to train candidates in short time by providing hands-on courses related to the fundamentals of Data Mining, Applications and Analytics.

For any questions regarding the training or fees, contact us atEmail: training@megdam.orgPrince Megrin Data Mining Center MEGDAMPrince Sultan University King Abdullah Street - Riyadh - Saudi Arabia

Research

Consultation

Training

About the Training Program

Engage in learn- ing materials

made by Experts from around the

world

Work with field experts &

achive yourgoals

Courses designed to be hands-on allowing candi-

dates to gain prac-tical experience

Gain practical experience &

skills in a short period

Prepare for Inter-naionally recog-

nized certification programs

Discover, explore , learn & practice real-world skills

Who Should Attend

Chief Information Officers - Decision Makers - Consultants - Project Managers - IT Managers - Team Leaders

Executives and Managers

Researchers - Experienced Statisticians - Professors - Instructors - Senior Students - Graduate Students

Academics

Business Analysts - Organizational Analysts - System Analysts - System Developers - Data Engineers

IT Specialist

Database Professionals - Data Analysts - Data Administrators - Data Architects - Business Intelligence Team Members

Data Specialist

Big Data AnalyticsProgram Tracks

Data Analytics Track

DM1

TM1

Oracle DBMS

DA1 DA2

BI &

DW

IBM SPSS

Into. to R

Programming

SASEnterprise

Miner

SASRegression &

Modelling

Rapid Miner

CourseCode

Course Title

DM1 Introduction to Data Mining with Weka

TM1 Introduction to Text Mining with SPSS

Oracle DBMS Introduction to Database Managment system with Oracle

DA1 Introduction to Data Analytics Techniques

DA2 Advanced Data Analytics - Data Preditions

BI & DW Business Intelligence and Data Warehouse

Cloud Computing Track

CourseCode

Course Title

Notes

CC1 Cloud Computing Fundamentals & Models

CC2 Advanced Cloud Computing with Hadoop & MapReduce

Vmware Virtualization Technologies

The Courses are offered in Tracks, with each course offering content that leads to next course in the track. Individuals with sufficient background may choose to skip pre-requist courses.Each course is offered for 3-5 days duration with 4-5 hours daily interaction.

CC1

CC2

Vmware Virtualization

Course Code : DM1

About this Course

Course Modules

Introduction to Data Mining with WEKA

This course aims to provide decision makers, managers, researchers and scientists, the fundamental ideas and advantages of Data Mining (DM) methods. This course will cover usage of Weka for practice on various projects.

Introduction to data Mining with WEKA. Exploring WEKA interface.Knowledge Representation.Classi�ers & Association Rules.Clustering & Applications.

Benefits of AttendingBe able to understand foundational concepts and terms underlying data mining.Be able to differentiate between different DM concepts, tasks and techniques.Understand commonly used algorithms in DM tools.Be able to apply DM tools to real-world problems.Able to use (WEKA) to analyze data of different types.Construct a lightweight prototype or simulation that supports the concepts of data mining.

CertificationWEKA Professional Certi�cate

4 DaysDuration

Course Code : TM1

About this Course

Course Modules

Introduction to Text Mining with SPSS Modeler

This course is geared for clients who wants to get the most out of data avail-able as text in their databases or on the internet. Text mining will be inter-duced to get the audience up to data with the state of the art in the area. Then tools developed by IBM “SPSS” will be detailed. Finally, a brainstorm-ing for implementing text mining systems and identifying application areas for text mining in the Kingdom.

Introduction to Text Mining with examples.Lingustic Analysis & Text Mining.Introduction to SPSS Modeler.Data prepration in SPSS Modeler.Building a clusterning based Text Mining concept model.Using other Text Mining models ( Overview).

Benefits of AttendingDemonstrate an understanding of selected concepts, terminol-ogy and issues related to text mining.Be able to describe text mining and its relationship to DM.Understanding of linguistic analysis.Build predictive models intuitively, without programming.Be able to analyze text data using IBM SPSS Modeler.Be able to perform Text Link Analysis and Cluster Analysis with text data.

CertificationIntroduction to IBM SPSS Modeler Text Analytics (V15)IBM SPSS Modeler Data Analysis for Business Partners v2

4 DaysDuration

Course Code : Oracle DBMS

About this Course

Course Modules

Database Managment System with Oracle

Using the industry-standard Oracle Relational Database Management System, the course teaches database design and manipulation concepts, including entity modelling, normalization, table creation and integrity constraints and SQL statements such as joins, nested queries and group by. There is also an overview of Oracle metadata and security privileges, using views and main principles in data management.

Introduction to DBMS & RDBMS.Data De�nition, Data Representation & Data Manipulation.Transaction Managment.Oracle [ Date / Time ] & Java Database Connection JDBC.Web interface with Oracle.PL/SQL [ Package / Function / procedures ].Data Managements

Benefits of AttendingIn-depth understanding of Database Administration.Create, maintain and manipulate an Oracle Database.Apply the Relational Database Model.Understand and apply the Data Dictionary.Create application of user roles, privileges, and the security of the database.Be able to perform backup and recovery.

CertificationOracle Database 12c: SQL Fundamentals

4 DaysDuration

Course Code : BI&DW

About this Course

Course Modules

Business Intelligence & Data Warehouse

This course is designed to introduce you to the fundamentals, concepts & key tools needed to implement an effective (BI) applica-tion and Data Warehouse to better improve corporation’s deci-sion-making process based on their strategies and goals. You will also learn how to build, manage and present information and performance indicators combined from different data sources.

Introduction to Oracle BI.Oracle transactional BI.Oracle BI tools.Introduction to Date Warehouse.Managing Oravle Data Warehouse.Oracle Data loading and ETL.Case Study.

Benefits of AttendingBe able to understand the Oracle BI infrastructure.Understand BI planning, data warehouse data collection.Define the terminology & concepts of data warehousing.Learn to construct your own queries.Relate current trends in data warehousing.Improve performance or manageability in a data ware-house using various Oracle Database features.

CertificationOracle Business Intelligence (OBI) Foundation 10 EssentialsOracle Database 11g Data Warehousing Essentials

5 DaysDuration

Course Code : DA1

About this Course

Course Modules

Introduction to Data Analytics Techniques

This course aims to help you transform into the new world of Data Science. Where you have the ability to store huge volumes of data. Analyze and extract business relevant information. In this course you will be able to bring together several key information technologies used in manipulating, storing, and analyzing big data.

Introduction to Big Data.Hadoop for Beginers.Working with Map Reduce.Using Hive and HiveQL in Hadoop.Introduction to Big Data tools.

Benefits of AttendingIdentify and distinguish big data analytics applicationsAble to explain & execute big data analytics techniquesPresent cases involving big data analytics in solving prac-tical problemsSuggest solutions to big data analytics problems.Understanding of the Architecture of Hadoop.Helps one to Master the concepts of MapReduce frame-work and Hadoop Distributed File System.

CertificationCloudera: Data Science Essentials (DS-200)

4 DaysDuration

Course Code : DA2

About this Course

Course Modules

Advanced Data Analytics - Data Preditions

This course brings together several key information technologies used in manipulation, storing & analyzing big data. Together we will learn about using MapReduce techniques & Hadoop, an open source framework allows implementing MapReduce on internet scale prob-lems. Also, will touch on related tools that provide SQL-like access to unstructured data: Pig & Hive. In the end we will make use of said technologies to design highly scalable systems that can process & analyze big data for a variety of scientific, social, & environmental challenges.

Introduction to Advanced Analytics.Predictive Analytics with Hadoop.Data Processing using MapReduce.Social Text Analytics using Hadoop.Forecasting and Visulaztion using Hadoop.Case Studies on Predictive Analytics.

Benefits of AttendingEvaluate advanced methods in data analysis.Create competitive advantage from both structured and unstructured data.Predict outcomes with supervised data analytics learning techniques.Able to perform social text analytics using Hadoop.

5 DaysDuration

Program Name:

About this Course

Course Modules

Introduction to R Programming

This workshop will introduce the R environment with hands-on program-ming stages that demonstrate the fundamental steps in data analysis, point-ing out the many ways in which R di�ers from other packages. You will be able to import data, manage and transform it, create quality graphics, perform basic statistical analyses and know how to generalize that knowl-edge to more advanced methods.

R Fundamental concepts & Interface.Statistical Modeling with R & GraphsR Programming Techniques.Applying Data Mining Models with R

Benefits of AttendingUnderstand R expressions, variables, and functions.Able to use R for e�ective data analysis.Able to perform practical issues in statistical computing in R.Able to perform data mining models using R.

CertificationAcademyR - Specialist Certi�cation

4 DaysDuration

Program Name:

About this Course

Course Modules

Using IBM SPSS Software

This course is designed to help you use the most of this powerful software Package. SPSS is a data anaytics, reporting and modelling software. this course will prepare you on how to use this tool to perform data analysis more quickly and e�ciently while making the most of your data.

Introduction to SPSS Concepts.SPSS Environment.Setting up Data.Working with Data.Playing with Results.Managing Data.Introduction to Analytical Techniques.

Benefits of AttendingBe familiar with SPSS environment and concepts.Able to Prepare data for modelingBe able to run simple analyses & create charts on the data �le.De�ne variable attributes, such as variable type, variable labels, value labels, and missing values.Create a categorical variable from a scale variable.

CertificationIBM Certi�ed Specialist - SPSS Statistics Level 1 v2IBM Certi�ed Associate - SPSS Modeler Data Analysis v2IBM Certi�ed Associate - SPSS Modeler Data Mining v2

3 DaysDuration

Program Name:

About this Course

Course Modules

SAS Enterprise Miner Software

SAS Enterprise Miner introduces a wide variety of data mining & analytics techniques & explains the purpose of reasoning behind every node that is a part of the software. This course covers the skills required to assemble analysis �ow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models).

Beginning with SAS Enterprise Miner.Data Preparation, Cleaning and Preview.Building Decision Tree & NN Predictive Models is SAS.Building Regression Models in SAS.Model Assesments.Scoring and Model Implementation.

Benefits of AttendingThe theoretical and practical understanding of various Predic-tive Analytics Techniques using SAS Miner.Perform DM tasks using SAS/Enterprise Miner software.Able to perform various models and techniques in SAS.Able to enhance accuracy of predictions.Able to learn how to run and interpret regression analysis using SAS Enterprise Miner Software.

CertificationSAS Certi�ed Predictive Modeler

4 DaysDuration

Program Name:

About this Course

Course Modules

SAS Regression & Modelling Software

This course covers predictive modeling using SAS software with emphasis on the LOGISTIC procedure. This course also discusses selecting variables, assessing models, treating missing values and using e�ciency techniques for massive data sets.

Analysis of Variables and factorizationRegresion and General linear Models.Logistic regression and Scoring Procedures.Input cleaning & preparation for predictive model performance.Class�er Performance.Visulization and scoring.

Benefits of AttendingGenerate descriptive statistics & explore data with graphs.Perform linear regression & assess the assumptions.Use regression model selection techniques to aid in the choice of predictor variables in multiple regressions.Use diagnostic statistics to assess statistical assumptions & identify potential outliers in multiple regressions.Fit a multiple logistic regression model.

CertificationSAS Certi�ed Statistical Business Analyst

4 DaysDuration

Program Name:

About this Course

Course Modules

Modelling with RapidMiner Softeware

This course aims to explore the possibilities of performing data mining and predictive analytics with RapidMiner Studio and RapidMiner Server.

Introduction to RapidMinerGetting used to RapidMiner Environment.Predictive Models.Data Evaluation.Scoring.

Benefits of AttendingLearn the foundational terms, concepts of RapidMiner.Get used to RapidMiner environment.Perform all common data preparations.Build sophisticated predictive models.Evaluate model quality with respect to di�erent criteria.Deploy data mining models.

CertificationRapidMiner Analyst

4 DaysDuration

Course Code : CC1

About this Course

Course Modules

Cloud Computing Fundamentals & Models

This course provides complete coverage of cloud computing funda-mental topics where you will learn how to effectively evaluate and assess the business and technical benefits of cloud computing and analyze cloud application use for your organization. Additionally.

Cloud Computing fundamentals.Virtualization fundamentals.Cloud Architecture.Cloud Security.Cloud Storage.Working with Cloud Delivery Models [ SaaS - PaaS - IaaS ].Building a Business Case.

Benefits of AttendingBuild and deploy cloud applications and develop an effec-tive implementation strategyExploit SaaS to optimize cost and resourcesCreate, deploy and secure applications and services with PaaSProvision public IaaS with Amazon AWS, Windows Azure and Google Cloud Platform and private IaaS with Open-Stack

CertificationCompTIA Cloud EssentialsCloud Computing Certi�cation

5 DaysDuration

Course Code : CC2

About this Course

Course Modules

Advanced Cloud Computing with Hadoop & MapReduce

This course aims to introduce Hadoop & MapReduce Cloud Framework to design, test and deploy Java applications. Hadoop is an open-source Cloud computing environment which enables the development of relia-ble, scalable, efficient, economical and distributed computing using very simple Java interfaces. While MapReduce makes it very easy to process and generate large data sets on the cloud.

Introdution to Hadoop.Hadoop Stack.Hadoop API.Working with Hadoop.Introduction to MapReduce.Working with MapReduce.(HDFS) Hadoop Distributed File System.(HOD) Hadoop On Demand.Working with Hadoop tools [ Hive - Pig - ZooKeeper ].

Benefits of AttendingAble to explain the Hadoop MapReduce program flow Communicates with the Hadoop (HDFS).Setting up Hadoop infrastructure with single and multi-node clusterUnderstanding of concepts of MapReduceWriting MapReduce Programs, Working with HDFS

CertificationCloudera Certi�ed Hadoop Developer (CCD – 410)

4 DaysDuration

Program Name:

About this Course

Course Modules

Virtualization with Vmware vSphere

This course offers you the knowledge and skills to help you take advantage of the latest VMware virtualization and cloud computing software. It combines the content of the VMware vSphere with advanced tasks and skills for configuring a highly available and scala-ble virtual infrastructure.

Introduction to Data virtulization with VMware vSphereBuilding vSphere based private cloud with vCloud site.Creating / Expanding private cloud to Hybrid cloud with VMware Vcloud Air.Managing private and Hybrid cloud with VRealize suite.

Benefits of AttendingAble to deploy, configure and manage a virtual infrastruc-ture environment (vSphere).Learn the ins and outs of vSphere.Gain the skills needed to install and configure an ESXI host and a vCenter Server.Be able to deploy your virtual machines.Be able to implement the new functions and features of VMware vSphere 5.1

CertificationVMware Certi�ed AssociateVMware Certi�ed Professional

4 DaysDuration

About the Trainers

Mohammed ElAffendi , PhDDr. Mohammed El A�endi is Professor & Dean College of CCIS at Prince Sultan University (PSU). He received his M.Sc. & Ph.D. in computer Science in the area of network & computer Systems, University of Bradford, U.K. He Founded Salman Research Center at PSU and directed it for 3 years.

He participated in many consultancy and strategic planning activities. He has published more than 35 papers in di�erent area of Computer Science including NLP and Speech Recognition.

Dr. Ahmed Sameh, PhDDr. Ahmed Sameh Mohamed is Professor & Head of IS Depart-ment, College of CCIS, at PSU. His current research interests include Neural Networks, Arti�cial Intelligence. Parallel Com-puting, Mobile Computing, and Hardware Design. He tought at Kuwait University, American University in Cairo, George

Washington University, & Lewis & Clark College, Portland Oregon. He is a member Of ACM, IEEE. ICS. CIPS. and ISCA. He received Google Research Award in 2005 for his contribution to the �eld of Computing through his 160 publications of Book Chapters, Journals, & Refereed Conferences.

AbdulAziz AlSehibani, PhDAbdulAziz Alsehibani is the Dean of Admissions & Registra-tion at PSU. He received PhD and Master’s degrees in Comput- er Science and Engineering from Syracuse University, New respectively. He has been the 1993 and 1999 York, USA in Dean of College of Computer Science & Information Systems

at PSU. He received several awards and recognitions from various national and international institutions. He is the Co-Founder of CISCO Versity & ORACLE Versity programs at PSU. He has been the Director of (MEGDAM) since 2010.

About the Trainers

Basit Qureshi , PhDBasit Qureshi is currently an assistant professor in the CCIS at PSU. He received his PhD degree in Computer Science from University of Bradford, UK. Prior to that he received his Master of Science degree in Computer Science from Florida Atlantic University, USA and Bachelor of Science degree in Computer

Science from Ohio University, OH USA. His research interests include Cloud Computing, Trust security and privacy (TSP) in Mobile & Cloud Environ-ments and TSP in P2P applications for Mobile Ad Hoc wireless Networks. He has published in various reputable international journals & conferenc-es. He receievd the best paper award at the 6th IEEE/IEFP Trustcom 2010. With over 15 years of experience in industry and academia, he has been consulting for various resarch and development projects with STC, Motoro-la, Ericsson and KACST. He is a Fellow of HEA, UK and member of IEEE, IEEE Computer Society, IEEE Communication Society and ACM.

Mohamed Tounsi received his PhD in Computer Science specialization in arti�cial intelligence from University of Nantes, FRANCE in 2002. He was the chairman of computer science department and Assistant Professor at the Depart-ment of CCIS, PSU, KSA. His current research interest includes Data Mining, Constraint programming, meta-heuristics, bioin-formatics, intelligent argent and optimization algorithms. Dr. Tounsi published several journals publication is di�erent international journals. He is currently an editorial member of various journals in the �eld of computing. He also has various years of experience in consulting for industry projects as well as KACST projects.

Mohammed Tounsi , PhD

About the Trainers

Yasir Javed, MSYasir Javed is workings as Research Engineer / Lecturer at Prince Megrin Data Mining center. He did his MS in Computer Science and received Rector Medal. His area of research are Software Analysis, Network Planner and Designer, Sensor Networks, Robotics, Target Tracking, Mobile Development,

Logic Design, Data Mining, Text Mining, Forensics Analysis using Data Mining, Medical Mining, Genetic Analysis, Statistical Analysis and Cyber physical system. He has couple of publications as book chapters, journals and conferences. He has also served as reviewer for couple of journals.

Mamdouh Alenize, PhDDr. Mamdouh Alenezi is currently an Assistant Professor at PSU. he received his MS & PhD degrees from DePaul & North Dakota State University in 2014 & 2011, respectively. He has extensive experience in data mining & machine learning where he applied several data mining techniques to solve

several Software Engineering problems. He conducted several research and development of predictive models using machine learning to predict fault-prone classes, comprehend source code, and predict the appropriate developer to be assigned to a new bug.

www.megdam.org/trainingtraining@megdam.org

Prince Megrin Data Mining Center MEGDAM - Prince Sultan UniversityKing Abdullah Street - Riyadh - Saudi Arabia