Data Analysis Training Courses - Canada
(50 feedbacks)
Online or onsite, instructor-led live Data Analysis (Analysis of Data or Data Analytics) training courses demonstrate through discussion and hands-on practice the programming languages and methodologies used to perform Data Analysis.
Data Analysis training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Data Analysis training can be carried out locally on customer premises in Canada or in NobleProg corporate training centers in Canada.
NobleProg -- Your Local Training Provider
IBM Cloud Pak for Data
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
R Programming for Finance
28 hours
SQL Advanced level for Analysts
21 hours
Python for Data Analysis
28 hours
Data Analytics With R
21 hours
Talent Acquisition Analytics
14 hours
Elasticsearch for Developers
14 hours
Data Analysis with Hive/HiveQL
7 hours
Data Analysis for Marketers
14 hours
Exploratory Data Analysis
7 hours
IBM Planning Analytics (TM1)
21 hours
AWS Glue Fundamentals
14 hours
Introduction to dbt Cloud
21 hours
Design Patterns
14 hours
Agile Business Analysis
14 hours
BPMN 2.0 for Business Analysts
14 hours
BPMN for Analysts
14 hours
BPMN 2.0 Fundamentals and Workshop
14 hours
Business Analysis
21 hours
Business Analysis Essentials
21 hours
OrgPlus 6
14 hours
Data Mining and Analysis
28 hours
Hadoop for Business Analysts
21 hours
Process Mining
21 hours
Dashbuilder for Business Users
14 hours
Dashbuilder for Engineers
7 hours
Qlik Sense for Data Science
14 hours
Business Intelligence with SSAS
14 hours
Power BI Dashboards
14 hours
Excel to Power BI
7 hours
Power BI for Business Analysts
21 hours
Power BI Dashboard Design
7 hours
Power BI
14 hours
Power BI for Developers
28 hours
Advanced Power BI
21 hours
QlikView Server Administration
14 hours
Octave not only for programmers
21 hours
Data Visualization with Python
14 hours
Foundation R
7 hours
Tableau Intermediate Training Course
14 hours
Data Visualization
28 hours
ECharts
14 hours
AWS QuickSight
14 hours
Sisense Business Intelligence
14 hours
kdb+ and q: Analyze Time Series Data
21 hours
Matlab for Prescriptive Analytics
14 hours
Google Maps API for Developers
14 hours
Introduction to Spotfire
14 hours
ArcGIS with Python Scripting
14 hours
ArcGIS for Spatial Analysis
14 hours
ArcGIS Pro for Spatial Analysis
14 hours
Stata: Beginner to Advanced
14 hours
KNIME Analytics Platform for BI
21 hours
Tableau Advanced
14 hours
Data analysis with Tableau
14 hours
Tableau for Developers
21 hours
Tableau Fundamentals
14 hours
Tableau Fundamentals to Advanced
28 hours
Tableau Prep Builder
21 hours
Tableau Server for Architects
14 hours
Cluster Analysis with R and SAS
14 hours
SAS Programming
14 hours
IREB CPRE Basics
7 hours
Requirements Analysis
21 hours
SPSS Modeler
14 hours
Nagios Core
21 hours
Nagios
35 hours
Nagios XI Administration
21 hours
Kibana: Essentials
14 hours
Automated Monitoring with Zabbix
14 hours
D3.js for Data Visualization
7 hours
QlikView for Developers
14 hours
QlikView for Business Users
7 hours
F# for Data Science
21 hours
Apache Drill
21 hours
LibreOffice Calc for Data Analysis
14 hours
MicroStrategy for Developers
14 hours
MicroStrategy for Architects
14 hours
Getting Started with Apache Superset
14 hours
Advanced Apache Superset
14 hours
Zenoss Monitoring for Administrators
21 hours
Netdata
7 hours
Datadog Monitoring
7 hours
Fluentd for Log Data Unification
14 hours
JasperReports
14 hours
Data Cleaning
7 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
Data Analysis with Redash
14 hours
Databricks
14 hours
Mixpanel
7 hours
Getting Started with Matomo
21 hours
Matomo
14 hours
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]