Statistics Training in Jordan

Statistics Training in Jordan

Local, 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 "onsite live training" or "remote live training". Onsite live Statistics trainings in Jordan can be carried out locally on customer premises or in NobleProg corporate training centers. Remote live training is carried out by way of an interactive, remote desktop.

NobleProg -- Your Local Training Provider

Kempinski Hotel Amman Jordan
Head south on Al Thaqafeh St toward Abdul Hamid Shumani St. Abdul Hamid Shouman Street
Amman 11181
Jordan
JO
Kempinski Hotel Amman Jordan
Learn Statistics in our training center in Jordan. Kempinski Hotel Amman is centrally located on Shmeisani Area the business district of the capital Amman, and only 5 minutes walk from the city major attractions. Conveniently connects leisure and business travelers to Downtown historical sites and the new Abdalli business district (The Boulevard), Kempinski Hotel Amman can easily be reached with a short taxi ride or any other public transportation. Taxi Transportation A drive to Kempinski Hotel Amman from Queen Alia International Airport is... Read more
Amman Marriott Hotel
Issam Al Ajlouni Street Shmeissani, Head west on Ahmad As-Safi An-Najafi St. toward Jaber Ben Hayyan St.
Amman 11190
Jordan
JO
Amman Marriott Hotel
Learn Statistics in our training center in Jordan. Set in the heart of the downtown district, Amman Marriott Hotel offers luxurious accommodations near the famous treasures of Jordan's capital city. Amman Marriott Hotel is your gateway to modern marvels, historic fascinations and unparalleled comfort. Reach a higher level of success in the dynamic meeting rooms and event venues at our business hotel. Discover 6,500-square feet of versatile, well-appointed space for your event in Amman, Jordan. Read more
Le Méridien
Queen Noor Street, Shmeisani PO Box 950629
Amman
Jordan
JO
Amman
Learn Statistics in our training center in Jordan. Le Grand Amman, Managed by AccorHotels, is located in the heart of Jordan's capital and the centre of Amman's Shmeisani business and diplomatic district. It offers convenient access to the Amman Citadel, the Roman Theatre, the city's malls and shopping areas. Hotel 282 Restaurant and Lounge the all-day dinning feature international cuisine. The Dead Sea Jerash Petra and Aqaba are easy daytrips from the hotel so its the ideal gateway for everything Jordan has to offer Amman Shmisani Queen Nour... Read more

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Statistics Course Events - Jordan

Statistics Course Outlines in Jordan

Course Name
Duration
Overview
Course Name
Duration
Overview
7 hours
Overview
This course covers advanced topics in R programming.
7 hours
Overview
Shiny is an open source R package that provides a web framework for building interactive web applications using R.

In this instructor-led, live training, participants will learn how to combine data science and web development using Shiny, R, and HTML.

By the end of this training, participants will be able to:

- Build interactive web applications with R using Shiny

Audience

- Data scientists
- Web developers
- Statisticians

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
Overview
In this instructor-led, live training, participants will learn advanced techniques for Machine Learning with R as they step through the creation of a real-world application.

By the end of this training, participants will be able to:

- Understand and implement unsupervised learning techniques
- Apply clustering and classification to make predictions based on real world data.
- Visualize data to quicly gain insights, make decisions and further refine analysis.
- Improve the performance of a machine learning model using hyper-parameter tuning.
- Put a model into production for use in a larger application.
- Apply advanced machine learning techniques to answer questions involving social network data, big data, and more.
21 hours
Overview
This instructor-led, live training in Jordan (onsite or remote) is aimed at data analysts who wish to program in R for Excel.

By the end of this training, participants will be able to:

- 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.
21 hours
Overview
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn the basics of financial trading as they step through building and implementing basic trading strategies and actions in R using quantstrat.

By the end of this training, participants will be able to:

- Understand the fundamental concepts in trading
- Create and implement their first trading strategy using R
- Analyze the performance of their strategy using R

Audience

- Programmers
- Finance professionals
- IT Professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
28 hours
Overview
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn how to use R to develop practical applications for solving a number of specific finance related problems.

By the end of this training, participants will be able to:

- 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

Audience

- Developers
- Analysts
- Quants

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice

Note

- 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.
28 hours
Overview
R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.
21 hours
Overview
R is a popular programming language in the financial industry. It is used in financial applications ranging from core trading programs to risk management systems.

In this instructor-led, live training, participants will learn the fundamentals of R programming as they walk through coding in R using financial examples.

By the end of this training, participants will be able to:

- Understand the basics of R programming
- Use R to manipulate their data to perform basic financial operations

Audience

- Programmers
- Finance professionals
- IT Professionals

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
21 hours
Overview
R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has also found followers among statisticians, engineers and scientists without computer programming skills who find it easy to use. Its popularity is due to the increasing use of data mining for various goals such as set ad prices, find new drugs more quickly or fine-tune financial models. R has a wide variety of packages for data mining.
14 hours
Overview
This course is an introduction to applying neural networks in real world problems using R-project software.
7 hours
Overview
This course is for data scientists and statisticians that already have basic R & C++ coding skills and R code and need advanced R coding skills.

The purpose is to give a practical advanced R programming course to participants interested in applying the methods at work.

Sector specific examples are used to make the training relevant to the audience
14 hours
Overview
This course is part of the Data Scientist skill set (Domain: Data and Technology)
14 hours
Overview
Organization – Lab work and practical examples on real data
14 hours
Overview
Scilab is a well-developed, free, and open-source high-level language for scientific data manipulation. Used for statistics, graphics and animation, simulation, signal processing, physics, optimization, and more, its central data structure is the matrix, simplifying many types of problems compared to alternatives such as FORTRAN and C derivatives. It is compatible with languages such as C, Java, and Python, making it suitable as for use as a supplement to existing systems.

In this instructor-led training, participants will learn the advantages of Scilab compared to alternatives like Matlab, the basics of the Scilab syntax as well as some advanced functions, and interface with other widely used languages, depending on demand. The course will conclude with a brief project focusing on image processing.

By the end of this training, participants will have a grasp of the basic functions and some advanced functions of Scilab, and have the resources to continue expanding their knowledge.

Audience

- Data scientists and engineers, especially with interest in image processing and facial recognition

Format of the course

- Part lecture, part discussion, exercises and intensive hands-on practice, with a final project
14 hours
Overview
This instructor-led, live training in Jordan (onsite or remote) is aimed at data analysts who wish to apply Minitab statistical analysis to Six Sigma projects.

By the end of this training, participants will be able to:

- Use Minitab for performing advanced statistical analysis.
- Apply Six Sigma methodology to specific projects.
- Gain knowledge on Six Sigma projects across industries.
28 hours
Overview
Goal:

Mastering the skill work independently with the program SPSS for advanced use, dialog boxes, and command language syntax for the selected analytical techniques.

The addressees:

Analysts, researchers, scientists, students and all those who want to acquire the ability to use SPSS package and advanced level and learn the selected statistical models. Training takes universal analysis problems and it is dedicated to a specific industry
21 hours
Overview
SPSS is software for editing and analyzing data.
14 hours
Overview
Goal:

Learning to work with SPSS at the level of independence

The addressees:

Analysts, researchers, scientists, students and all those who want to acquire the ability to use SPSS package and learn popular data mining techniques.
21 hours
Overview
The objective of the course is to enable participants to gain a mastery of the fundamentals of statistical and econometric modelling.
7 hours
Overview
This course has been created for decision makers whose primary goal is not to do the calculation and the analysis, but to understand them and be able to choose what kind of statistical methods are relevant in strategic planning of the organization.

For example, a prospect participant needs to make decision how many samples needs to be collected before they can make the decision whether the product is going to be launched or not.

If you need longer course which covers the very basics of statistical thinking have a look at 5 day "Statistics for Managers" training.
14 hours
Overview
This course has been created for people who require general statistics skills. This course can be tailored to a specific area of expertise like market research, biology, manufacturing, public sector research, etc...
28 hours
Overview
This training course covers advanced statistics. It explains most of the tools commonly used in research, analysis and forecasting. It provides short explanations of the theory behind the formulas.

This course does not relate to any specific field of knowledge, but can be tailored if all the delegates have the same background and goals.

Some basic computer tools are used during this course (notably Excel and OpenOffice)
35 hours
Overview
This course aims to give researchers an understanding of the principles of statistical design and analysis and their relevance to research in a range of scientific disciplines.

It covers some probability and statistical methods, mainly through examples. This training contains around 30% of lectures, 70% of guided quizzes and labs.

In the case of closed course we can tailor the examples and materials to a specific branch (like psychology tests, public sector, biology, genetics, etc...)

In the case of public courses, mixed examples are used.

Though various software is used during this course (Microsoft Excel to SPSS, Statgraphics, etc...) its main focus is on understanding principles and processes guiding research, reasoning and conclusion.

This course can be delivered as a blended course i.e. with homework and assignments.
35 hours
Overview
This instructor-led, live training (onsite or remote) is aimed at data analysts who wish to use Stata and R to analyze big data for statistical analysis.

By the end of this training, participants will be able to:

- Create statistic models for predicting key interest variables and events.
- Generate descriptive visualizations, summary tables, frequencies, and more.
- Manage and structure large databases to preapare for data analysis.
14 hours
Overview
This instructor-led, live training in Jordan (onsite or remote) is aimed at data scientists who wish to program in R for Tableau.

By the end of this training, participants will be able to:

- Implement Tableau analytics with R.
- Return values to Tableau with learning algorithms in R.
- Structure and visualize R functions in Tableau.
- Make data driven decisions for business operations.
14 hours
Overview
This instructor-led, live training (onsite or remote) is aimed at HR professionals and recruitment specialists who wish to use analytical methods improve organisational performance. This course covers qualitative as well as quantitative, empirical and statistical approaches.

Format of the Course

- Interactive lecture and discussion.
- Lots of exercises and practice.

Course Customization Options

- To request a customized training for this course, please contact us to arrange.
14 hours
Overview
Tableau helps people see and understand data.
14 hours
Overview
Tableau helps people see and understand data.
7 hours
Overview
The Tidyverse is a collection of versatile R packages for cleaning, processing, modeling, and visualizing data. Some of the packages included are: ggplot2, dplyr, tidyr, readr, purrr, and tibble.

In this instructor-led, live training, participants will learn how to manipulate and visualize data using the tools included in the Tidyverse.

By the end of this training, participants will be able to:

- Perform data analysis and create appealing visualizations
- Draw useful conclusions from various datasets of sample data
- Filter, sort and summarize data to answer exploratory questions
- Turn processed data into informative line plots, bar plots, histograms
- Import and filter data from diverse data sources, including Excel, CSV, and SPSS files

Audience

- Beginners to the R language
- Beginners to data analysis and data visualization

Format of the course

- Part lecture, part discussion, exercises and heavy hands-on practice
14 hours
Overview
R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.
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