
Online or onsite, instructor-led live Statistics training courses demonstrate through interactive discussion and hands-on practice how to apply Statistic principles to the solving of real-world problems.
Statistics 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 Statistics training can be carried out locally on customer premises in Israel or in NobleProg corporate training centers in Israel.
NobleProg -- Your Local Training Provider
Testimonials
Many hands-on sessions.
Jacek Pieczątka
Course: Administrator Training for Apache Hadoop
Big competences of Trainer
Grzegorz Gorski
Course: Administrator Training for Apache Hadoop
Trainer give reallive Examples
Simon Hahn
Course: Administrator Training for Apache Hadoop
The information given was interesting and the best part was towards the end when we were provided with Data from Murex and worked on Data we are familiar with and perform operations to get results.
Jessica Chaar
Course: Data Mining and Analysis
The hands on exercise and the trainer capacity to explain complex topics in simple terms
youssef chamoun
Course: Data Mining and Analysis
I like the exercices done
Nour Assaf
Course: Data Mining and Analysis
many exercises
Julia - Angelika Czapka, LKQ Polska Sp. z o. o.
Course: Analysing Financial Data in Excel
The applicability of the content
EPFL HBP PCO
Course: Analysing Financial Data in Excel
The tips for many of the functions that the trainer presented, which we can easily remember and implement in our future work
Emilija Stoilova - EPFL HBP PCO
Course: Analysing Financial Data in Excel
A lot of knowldege - theoretical and practical
Anna Alechno
Course: Forecasting with R
Good detail on what R is used for and how to start using it right away
Hoss Shenassa - Trimac Management Services LP
Course: Introduction to R with Time Series Analysis
The remote classroom setting worked very well
Trimac Management Services LP
Course: Introduction to R with Time Series Analysis
the matter was well presented and in an orderly manner.
Marylin Houle - Ivanhoe Cambridge
Course: Introduction to R with Time Series Analysis
Exercises/Examples at end of chapter
Terumo Aortic
Course: Minitab for Statistical Data Analysis
Interactive exercises.
Terumo Aortic
Course: Minitab for Statistical Data Analysis
Trainer was very knowledgeable
Gary McAlonan - Terumo Aortic
Course: Minitab for Statistical Data Analysis
Modeling and how to fit the data to model
USDA
Course: R for Data Analysis and Research
I enjoyed the self-learning through exercises and the tips and shortcuts shared.
Competition Bureau
Course: R for Data Analysis and Research
Practice exercises were relevant and very helpful to reinforce the knowledge.
Andy Kwan - Environment and Climate Change Canada
Course: R
Follow-along exercises after slide presentation kept engagement.
Robin White - Environment and Climate Change Canada
Course: R
Michael was very knowledgeable and clear in his instruction of the training. Course was well structured to teach the desired subject as well as the right amount of room was left to adjust to fit our needs better. Over all, I am very happy with the course.
Brock Batey - Environment and Climate Change Canada
Course: R
that i was getting my all answers and knowledge i want.
Ismail Ahli - Dubai Civil Aviation Authority
Course: R for Statistical Analysis
La quantité des exercices réalisés. L'aide du formateur sur chacun des problèmes rencontrés pendant les exercices. Il nous clarifie la démarche sans donner le résultat.
Fabien Follet - Etienne Dugast , Autoliv
Course: Scilab
Les compétences du formateur, et la bonne ambiance.
Sébastien CADET - Etienne Dugast , Autoliv
Course: Scilab
It was insightful and I gained a lot of new skills
Mamonyane Taoana - Maphahamiso Ralienyane, Road Safety Department
Course: Statistical Analysis using SPSS
Tailored towards the needs of the trainees
Maphahamiso Ralienyane, Road Safety Department
Course: Statistical Analysis using SPSS
the trainer had patience, and was eager to make sure we all understood the topics, the classes were fun to attend
Mamonyane Taoana - Maphahamiso Ralienyane, Road Safety Department
Course: Statistical Analysis using SPSS
The fact that we had the time to cover some useful extras.
Alina Vishniakova - TUI Business Services GmbH
Course: Statistics Level 1
I generally liked the trainer Knowledge.
SAP Business Objects
Course: Statistics Level 1
Flexibility of the trainer
Irina Ostapenko
Course: Statistics Level 2
all the materials and how the trainer teach
Ma Rowenaliz Gayoma - JPMorgan Chase Bank, N.A – Philippine Global Service Center
Course: Tableau Advanced
Weronika created a really friendly, informal atmosphere. The training involved a lot of useful knowledge transfer, technical skills exercises and theory, as well as best practices and guidance on how to handle our own data.
Julia Kuczma - Julia Kuczma, DLA Piper GSC Poland Sp. z o.o.
Course: Tableau Intermediate Training Course
Statistics and Array manipulation, Khobeib was able to spend time working through specific analytical questions with us and demonstrate custom calculations and solutions to our questions. Khobeib was also able to adjust the training to our pace and level of understanding. Having worked with data for some time some of the intermediate level core subjects were not required. To his credit Khobeib took this on board and moved through the contents at a speed relevant to our knowledge and understanding.
Department of Home Affairs
Course: Tableau Intermediate Training Course
The theoretical explanations
Molatelo Tloubatla - University Of South Africa
Course: Data Science: Analysis and Presentation
Machine learning, python, data manipulation
Siphelo Mapolisa - University Of South Africa
Course: Data Science: Analysis and Presentation
Mr Andrew easily understood and responded so well to participants' answers.
Junaidah Ahmad - GAS MALAYSIA DISTRIBUTION SDN BHD
Course: Market Forecasting
- I finally can implement the right analysis method to what I currently work on. - Discussion on general issues (worldwide) which is related to the training topic.
Lizawati Pati - GAS MALAYSIA DISTRIBUTION SDN BHD
Course: Market Forecasting
1.The presentation style of Mr. Andrew, engaging with the style of audience.
MUHAMMAD ZAID SALMAN - GAS MALAYSIA DISTRIBUTION SDN BHD
Course: Market Forecasting
The flexible and friendly style. Learning exactly what was useful and relevant for me
Jenny Tickner
Course: Advanced R
The tutor, Mr. Michael Yan, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
the introduction of new packages
Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training to meet clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!
Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course: Programming with Big Data in R
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.
Jaco Dreyer - Africa Health Research Institute
Course: R Fundamentals
I enjoyed that it was very hands-on, so we were constantly having the chance to try things on, rather than just sitting listening to a lecture (for example). I felt like I am now able to go away and start using R, which I haven't been able to do before
Kathy Baisley - Africa Health Research Institute
Course: R Fundamentals
Day 1 and Day 2 were really straight forward for me and really enjoyed that experience.
Mareca Sithole - Africa Health Research Institute
Course: R Fundamentals
The way the trainer made complex subjects easy to understand.
Adam Drewry
Course: Data and Analytics - from the ground up
learning how to use excel properly
Torin Mitchell
Course: Data and Analytics - from the ground up
I enjoyed the Excel sheets provided having the exercises with examples. This meant that if Kamil was held up helping other people, I could crack on with the next parts.
Luke Pontin
Course: Data and Analytics - from the ground up
Exercises on time series modeling
Teleperformance
Course: Data Analytics With R
I get answers on all my questions.
Natalia Gladii
Course: Data Analytics With R
Statistics Subcategories in Israel
Statistics Course Outlines in Israel
- Perform data analysis using Python, R, and SQL.
- Create insights through data visualization with Tableau.
- Make data-driven decisions for business operations.
- Understand the advantages of designed experiments over other approaches.
- Understand the cause-and-effect relationships and interactions between factors.
- Learn the best practices and guidelines for conducting successful experimentation.
- Learn and understand the fundamentals of econometrics.
- Utilize Eviews and risk simulators.
- processing and analyzing data
- producing informative data visualizations
- forecasting future performance
- evaluating forecasts
- turning data into evidence-based business decisions
- optimizing processes
- Part lecture, part discussion, heavy hands-on practice, occasional tests to gauge understanding
- Interactive lecture and discussion.
- Lots of exercises and practice.
- To request a customized training for this course, please contact us to arrange.
- Toggle and move data between Excel and R.
- Use R Tidyverse and R features for data analytic solutions in Excel.
- Extend their data analytical skills by learning R.
- Understand the fundamentals of the R programming language
- Select and utilize R packages and techniques to organize, visualize, and analyze financial data from various sources (CSV, Excel, databases, web, etc.)
- Build applications that solve problems related to asset allocation, risk analysis, investment performance and more
- Troubleshoot, integrate deploy and optimize an R application
- Developers
- Analysts
- Quants
- Part lecture, part discussion, exercises and heavy hands-on practice
- This training aims to provide solutions for some of the principle problems faced by finance professionals. However, if you have a particular topic, tool or technique that you wish to append or elaborate further on, please please contact us to arrange.
- Interactive lecture and discussion.
- Lots of exercises and practice.
- To request a customized training for this course, please contact us to arrange.
- perform calculations efficiently
- understanding program commands
- creating text documents
- building charts and graphs
- data presentations
- Data scientists and engineers, especially with interest in image processing and facial recognition
- Part lecture, part discussion, exercises and intensive hands-on practice, with a final project
- Use Minitab for performing advanced statistical analysis.
- Apply Six Sigma methodology to specific projects.
- Gain knowledge on Six Sigma projects across industries.
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