Data Analysis Course Outlines in the UAE

Total Courses 183


 
Business Motivation Model

Business Motivation Model

What is Business Motivation Model?

Business and IT System Agility in the Digital Age

  7 hours

Business Modeling for an Agile Enterprise

  14 hours

Efficient Requirement Management using Agile Methods and Agile UML Modeling

  21 hours

Business Process Analysis with UML and BPMN

  14 hours

Design Patterns

  14 hours

 

Contemporary Development Principles and Practices

  14 hours

Software Engineering, Requirements Engineering and Testing

  63 hours

Agile Business Analysis

  14 hours

 

IBM Cloud Pak for Data

  14 hours

A Practical Introduction to Data Analysis and Big Data

  35 hours

SQL For Data Science and Data Analysis

  14 hours

Datameer for Data Analysts

  14 hours

Azure for Data Engineer

  35 hours

Excel For Statistical Data Analysis

  14 hours

Python for Excel

  14 hours

Data and Analytics - from the ground up

  42 hours

R Programming for Finance

  28 hours

Data Analysis with MongoDB Aggregation Framework

  14 hours

NLP: Natural Language Processing with R

  21 hours

SQL Advanced level for Analysts

  21 hours

Python for Data Analysis

  28 hours

Data Analytics with Tableau, Python, R, and SQL

  35 hours

Data Analytics With R

  21 hours

HR Analytics for Public Organisations

  14 hours

Talent Acquisition Analytics

  14 hours

Elasticsearch for Developers

  14 hours

Data Analysis with Hive/HiveQL

  7 hours

Embedding Projector: Visualizing Your Training Data

  14 hours

Data Analysis for Marketers

  14 hours

Exploratory Data Analysis

  7 hours

IBM Planning Analytics (TM1)

  21 hours

PL-300T00: Microsoft Power BI Data Analyst

  21 hours

 
Internet of Things (IoT)

Internet of Things (IoT)

What is Internet of Things (IoT)?

Big Data Business Intelligence for Govt. Agencies

  35 hours

 
Predictive Analytics

Predictive Analytics

What is Predictive Analytics?

Big Data Business Intelligence for Criminal Intelligence Analysis

  35 hours

 

Business Process Re-engineering for Competitive Advantage

  21 hours

Business Process Optimization in Banking

  21 hours

BPMN 2.0 for Business Analysts

  21 hours

BPMN for Analysts

  14 hours

BPMN 2.0 Fundamentals and Workshop

  14 hours

Business Process Modelling in BPMN 2.0

  21 hours

Understanding Business Process Modeling with BPMN 2.0

  14 hours

Business Analysis, BABOK V3.0 and IIBA Certification Preparation

  21 hours

Business Analysis

  21 hours

Introduction to Business Analysis: Defining Successful Projects

  21 hours

Business Analysis Essentials

  21 hours

 

Object Oriented Design using Design Patterns

  14 hours

 

Data Mining and Analysis

  28 hours

Hadoop for Business Analysts

  21 hours

 
Automated Business Process Discovery (ABPD)

Automated Business Process Discovery (ABPD)

What is Automated Business Process Discovery (ABPD)?

Process Mining

  21 hours

 

Dashbuilder for Business Users

  14 hours

Dashbuilder for Engineers

  7 hours

 

Big Data Business Intelligence for Telecom and Communication Service Providers

  35 hours

Qlik Sense for Data Science

  14 hours

MATLAB Fundamentals, Data Science & Report Generation

  35 hours

A Practical Introduction to Data Science

  35 hours

 

Pentaho Open Source BI Suite Community Edition (CE)

  28 hours

Pentaho Data Integration Fundamentals

  21 hours

Business Intelligence with SSAS

  14 hours

Power BI Dashboards

  14 hours

Data Analytics Process, Cloud Solutions, and Power BI Solutions

  35 hours

Excel to Power BI

  7 hours

Power BI for Business Analysts

  21 hours

Creating Dashboards Using Microsoft Power BI

  14 hours

Power BI Dashboard Design

  7 hours

Analyzing Data with Power BI

  28 hours

Power BI

  14 hours

Power BI for Developers

  28 hours

Advanced Power BI

  21 hours

 

IRIS: Document Classification and Data Capture

  7 hours

 

QlikView Server Administration

  14 hours

Qlik: Advanced Topics in Design and Development

  14 hours

Octave not only for programmers

  21 hours

Data Analysis with Tableau and Python

  14 hours

Data Visualization with Python

  14 hours

Foundation R

  7 hours

Introduction to Data Visualization with R

  28 hours

Tableau Intermediate Training Course

  14 hours

Data Visualization

  28 hours

Data Visualization: Creating Captivating Reports

  21 hours

Highcharts for Data Visualization

  7 hours

ECharts

  14 hours

 
Business Intelligence

Business Intelligence

What is Business Intelligence?

55232-A: Writing Analytical Queries for Business Intelligence

  21 hours

AWS QuickSight

  14 hours

kdb+ and q: Analyze Time Series Data

  21 hours

 
Prescriptive Analytics

Prescriptive Analytics

What is Prescriptive Analytics?

Matlab for Prescriptive Analytics

  14 hours

Python for Geographic Information System (GIS)

  21 hours

Google Maps API for Developers

  14 hours

 

Data Analysis with SQL, Python and Spotfire

  14 hours

Advanced Data Analysis with TIBCO Spotfire

  14 hours

Introduction to Spotfire

  14 hours

AI-Driven Data Analysis with TIBCO Spotfire X

  14 hours

ArcGIS with Python Scripting

  14 hours

ArcGIS for Spatial Analysis

  14 hours

ArcGIS Pro for Spatial Analysis

  14 hours

Algorithmic Trading with Python and R

  14 hours

Statistical Analysis with Stata and R

  35 hours

Stata: Beginner to Advanced

  14 hours

KNIME with Python and R for Machine Learning

  14 hours

KNIME Analytics Platform for BI

  21 hours

Platforma analityczna KNIME - szkolenie kompleksowe

  35 hours

Data Science with KNIME Analytics Platform

  21 hours

Data Science Implementation Management using KNIME Server

  14 hours

Data Analysis with SQL, Python, and Tableau

  14 hours

Data Science with Tableau and R Programming

  14 hours

Tableau Advanced

  14 hours

Data analysis with Tableau

  14 hours

Visual Reporting and Analysis with Tableau

  14 hours

Tableau for Developers

  21 hours

Tableau Fundamentals

  14 hours

Tableau Fundamentals to Advanced

  28 hours

Tableau Server for System Administrators

  28 hours

Tableau Prep Builder

  21 hours

Cluster Analysis with R and SAS

  14 hours

SAS Programming

  14 hours

 
Requirements Engineering

Requirements Engineering

What is Requirements Engineering?

Podstawy IREB CPRE

  7 hours

Requirements Analysis

  21 hours

 

Model Based Development for Embedded Systems

  21 hours

Computational Theory, File Organization, Data Structures and C# Programming

  45 hours

 

SPSS Modeler

  14 hours

Nagios Core

  21 hours

Nagios

  35 hours

Nagios XI Administration

  21 hours

ELK: Elasticsearch, Logstash and Kibana for Administrators

  14 hours

Kibana: Essentials

  14 hours

 

Magellan: Geospatial Analytics on Spark

  14 hours

deck.gl: Visualizing Large-scale Geospatial Data

  14 hours

Automated Monitoring with Zabbix

  14 hours

 

Apache Druid for Real-Time Data Analysis

  21 hours

 

Zeppelin for Interactive Data Analytics

  14 hours

Introduction to Data Visualization with Tidyverse and R

  7 hours

D3.js for Data Visualization

  7 hours

QlikView for Developers

  14 hours

QlikView for Business Users

  7 hours

 
Authorized SQL Server

Authorized SQL Server

What is Authorized SQL Server?

Microsoft Power BI Data Analyst (szkolenie autoryzowane PL-300)

  21 hours

Data Analysis with Python, Pandas, and Numpy

  14 hours

 
Knowledge Discovery in Databases (KDD)

Knowledge Discovery in Databases (KDD)

What is Knowledge Discovery in Databases (KDD)?

Knowledge Discovery in Databases (KDD)

  21 hours

 

Apache Kylin: From Classic OLAP to Real-Time Data Warehouse

  14 hours

F# for Data Science

  21 hours

 

Apache Drill

  21 hours

Dremio for Self-Service Data Analysis

  21 hours

 

Apache Arrow for Data Analysis across Disparate Data Sources

  14 hours

 

Search and Analytics with Amazon OpenSearch

  21 hours

Scaling Data Analysis with Python and Dask

  14 hours

 

LibreOffice Calc for Data Analysis

  14 hours

Getting Started with Piwik

  21 hours

QGIS for Geographic Information System

  21 hours

 

MicroStrategy Business Intelligence (BI)

  14 hours

MicroStrategy for Developers

  14 hours

 

Getting Started with Apache Superset

  14 hours

Advanced Apache Superset

  14 hours

 

Zenoss Monitoring for Administrators

  21 hours

Netdata

  7 hours

 
Authorized Microsoft

Authorized Microsoft

What is Authorized Microsoft?

Microsoft Power Platform Fundamentals (authorized training course PL-900)

  14 hours

Fluentd for Log Data Unification

  14 hours

Monitoring Your Resources with Munin

  7 hours

 

JasperReports

  14 hours

 

Data Cleaning

  7 hours

Fintech: A Practical Introduction for Managers

  14 hours

Splunk Fundamentals

  14 hours

Advanced Splunk

  14 hours

Splunk Data Administration

  14 hours

Monitoring with Grafana

  14 hours

Grafana and Graphite

  14 hours

Hotjar for Growth Hacking

  14 hours

Introduction to Pix4D

  14 hours

Intermediate Pix4D

  14 hours

Sensu: Beginner to Advanced

  14 hours

Alteryx for Developers

  14 hours

Data Preparation with Alteryx

  7 hours

Alteryx for Data Analysis

  7 hours

Alteryx Advanced

  14 hours

 

IBM Cognos Analytics

  14 hours

 

Google Sheets for Excel Users

  14 hours

 

Introduction to Google Analytics

  7 hours

TIBCO for Developers

  21 hours

TIBCO Statistica

  14 hours

 
Microsoft Power Platform

Microsoft Power Platform

What is Microsoft Power Platform?

Microsoft Power Platform Fundamentals

  14 hours

Business Intelligence and Data Analysis with Metabase

  14 hours

Data Analysis with Redash

  14 hours

 

Databricks

  14 hours

Mixpanel

  7 hours

Matomo

  14 hours

Data Analysis Courses Testimonials

Total Feedbacks 50


I mostly liked the knowledge of the Trainer.

Sripal S

Understanding Business Process Modeling with BPMN 2.0



I generally enjoyed the way of delivering speech.

Bhaskar naidu

Understanding Business Process Modeling with BPMN 2.0



I genuinely enjoyed the trainer's helping.

Urszula Kuza

Tableau Advanced



I get answers on all my questions.

Natalia Gladii

Data Analytics With R



I gained a good overview of the process editors, business rules and BPMS tools landscape. I highly recommend the practical BPMN for Business Analysts course, even for experienced analysts, with its excellent process scenarios and modeling practice it will position you a cut above the rest!.

Anees Baig

BPMN 2.0 for Business Analysts



Very informative and gave a nice overall summary of the course outline.

Matthew Steptoe

Contemporary Development Principles and Practices



I enjoyed all of Day 1.

Peter Mahaffey

Contemporary Development Principles and Practices



I liked the exercises as it's the only way to learn, by repetition.

David Rushe

Tableau Advanced



I enjoyed the exercises, The training room, Tea kitchen.

Alisher Khaydarov

BPMN 2 Fundamentals and Workshop



The pace and progression was perfect to really understand things quickly.

Stephen Brewell

BPMN 2.0 for Business Analysts



The examples given really helped me to understand some concepts. The trainer made sure that we were following the whole training and didn't hesitate to come back to a previous point of there was any doubt. The trainer adapted the training to our needs, giving focus to the items we would like to have more details. Practical exercises were good too.

Amanda Moscardini - Campinas Valley

Understanding Business Process Modeling with BPMN 2.0



Debra made sure to understand my questions and answered them precisely. The suggestions on how to design diagrams under certain conditions were really good. I would like to reinforce how professional and efficient Debra was with us.

Leandro Antonio

Understanding Business Process Modeling with BPMN 2.0



I like the exercises done.

Nour Assaf

Data Mining and Analysis



The hands-on exercise and the trainer capacity to explain complex topics in simple terms.

youssef chamoun

Data Mining and Analysis



The information given was interesting and the best part was towards the end when we were provided with Data from Durex and worked on Data we are familiar with and perform operations to get results.

Jessica Chaar

Data Mining and Analysis



I thought that the information was interesting.

Allison May

Data Visualization



I really appreciated that Jeff utilized data and examples that were applicable to education data. He made it interesting and interactive.

Carol Wells Bazzichi

Data Visualization



Learning about all the chart types and what they are used for. Learning the value of cluttering. Learning about the methods to show time data.

Susan Williams

Data Visualization



Trainer was enthusiastic.

Diane Lucas

Data Visualization



I really liked the content / Instructor.

Craig Roberson

Data Visualization



I am a hands-on learner and this was something that he did a lot of.

Lisa Comfort

Data Visualization



I liked the examples.

Peter Coleman

Data Visualization



I liked the examples.

Peter Coleman

Data Visualization



I enjoyed the good real world examples, reviews of existing reports.

Ronald Parrish

Data Visualization



I like the way Birol customized some parts of the training catering to my role as Business Analyst. This way, he was able to focus on the topics that are important and not dwell on topics that I generally will not use in my work. He teaches very clear and ensures that you understand a topic before going to the next. You can say that he is a seasoned professor and very knowledgeable on his subject, and knows how to analyze training needs of the student to effectively cover topics which are essential and relevant. This makes his sessions very effective as it is flexible and right on target. His materials are very comprehensive and he makes a point to follow the curriculum but making it more relevant to the student. I appreciate that he knows industry standards and is able to give his insights as to what works. I've never learned as much as I did on a 2-day course and it is worth all the time and effort. The training did expedite my learning of BPMN 2.0 and gave me the basics and confidence to start practicing the technique in my work. Thank you Birol and NobleProg for a wonderful learning experience I will surely recommend the course and trainer to future colleagues.

Irma Irosido

BPMN 2.0 for Business Analysts



I really was benefit from the willingness of the trainer to share more.

Balaram Chandra Paul

A practical introduction to Data Analysis and Big Data



I really was benefit from the interactivity and dedicated trainer.

Pierre Bruwier

BPMN 2 Fundamentals and Workshop



Offering a more in-depth scope about Power BI more than any training institute that I came across to.

Mohammed Al Ameer

Power BI



Liked very much the interactive way of learning.

Luigi Loiacono

Data Analysis with Hive/HiveQL



I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Tamil was held up helping other people, I could crack on with the next parts.

Luke Pontin

Data and Analytics - from the ground up



Learning how to use excel properly.

Torin Mitchell

Data and Analytics - from the ground up



The way the trainer made complex subjects easy to understand.

Adam Drewry

Data and Analytics - from the ground up



It was a very practical training, I liked the hands-on exercises.

Proximus

Data Analysis with Hive/HiveQL



Detailed and comprehensive instruction given by experienced and clearly knowledgeable expert on the subject.

Justin Roche

Data and Analytics - from the ground up



Tamil is very knowledgeable and nice person, I have learned from him a lot.

Aleksandra Szubert

Data and Analytics - from the ground up



I liked the first session. Very intensive and quick.

Digital Jersey

Data and Analytics - from the ground up



I was benefit from the good overview, good balance between theory and exercises.

Proximus

Data Analysis with Hive/HiveQL



I mostly liked the patience of Tamil.

Laszlo Maros

Data and Analytics - from the ground up



I enjoyed the dynamic interaction and “hands-on” the subject, thanks to the Virtual Machine, very stimulating!.

Philippe Job

Data Analysis with Hive/HiveQL



I really was benefit from the real life practical examples.

Wioleta (Vicky) Celinska-Drozd

Data and Analytics - from the ground up



I was benefit from the competence and knowledge of the trainer.

Jonathan Puvilland

Data Analysis with Hive/HiveQL



Exercises, additional tips from the trainer, flexibility to add more insights when requested.

Anna Alechno

Power BI



I generally was benefit from the presentation of technologies.

Continental AG / Abteilung: CF IT Finance

A practical introduction to Data Analysis and Big Data



Overall the Content was good.

Sameer Rohadia

A practical introduction to Data Analysis and Big Data



I mostly enjoyed the power BI possibility.

British American Shared Services Europe

Power BI



I generally was benefit from the power bi web- Q.

Cristina Palii

Power BI



I genuinely enjoyed the visualization part.

Alexandra Grigoriu

Power BI



Good coverage of all Power BI themes relevant and useful for creating reliable dashboards and reports as a beginner.

Gabriel Purghel

Power BI



I liked the focus and the emphasis on self-learning, playing and reading on external resources. No Application can be taught in 2 days and self-study is very important.

Vlad Andrei Bucur

Power BI



Fast paced - good interaction - clearly very knowledgeable trainer.

 

Business Process Analysis with UML and BPMN







Other regions in the UAE