Statistics Training Courses

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  2. Statistics Training Courses
Statistics Training Courses

Τοπικά, καθοδηγούμενα από εκπαιδευτές Στατιστικά μαθήματα κατάρτισης καταδεικνύουν μέσω διαδραστικής συζήτησης και πρακτικής πρακτικής πώς να εφαρμόζουν τις Στατιστικές αρχές στην επίλυση πραγματικών προβλημάτων. Η κατάρτιση στα στατιστικά στοιχεία είναι διαθέσιμη ως "επιτόπου ζωντανή εκπαίδευση" ή "μακρινή ζωντανή κατάρτιση". Η επιτόπια κατάρτιση σε πραγματικό χρόνο μπορεί να πραγματοποιηθεί σε τοπικό επίπεδο στις εγκαταστάσεις του πελάτη Ελλάδα ή σε εταιρικά κέντρα κατάρτισης NobleProg στο Ελλάδα . Η απομακρυσμένη ζωντανή προπόνηση πραγματοποιείται μέσω μιας διαδραστικής, απομακρυσμένης επιφάνειας εργασίας. NobleProg - Ο τοπικός παροχέας εκπαίδευσης

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Statistics Subcategories

R Language Training CoursesR Language
Forecasting Training CoursesForecasting
Quantitative Analytics Training CoursesQuantitative Analytics

Statistics Course Outlines

Course Name
Duration
Overview
Course Name
Duration
Overview

Analysing Financial Data in Excel

14 hours
Overview
Audience

Financial or market analysts, managers, accountants

Course Objectives

Facilitate and automate all kinds of financial analysis with Microsoft Excel

Excel For Statistical Data Analysis

14 hours
Overview
Audience

Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel.

Course Objectives

This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research.

This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.

Statistics Level 1

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...

Statistics Level 2

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)

Minitab for Statistical Data Analysis

14 hours
Overview
The course is aimed at anyone interested in statistical analysis. It provides familiarity with Minitab and will increase the effectiveness and efficiency of your data analysis and improve your knowledge of statistics.

Statistics for Researchers

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.

Statistics with SPSS Predictive Analytics Software

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.

Advanced Statistics using SPSS Predictive Analytics Software

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

Administrator Training for Apache Hadoop

35 hours
Overview
Audience:

The course is intended for IT specialists looking for a solution to store and process large data sets in a distributed system environment

Goal:

Deep knowledge on Hadoop cluster administration.

Statistical Thinking for Decision Makers

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.

Applied Machine Learning

14 hours
Overview
This training course is for people that would like to apply Machine Learning in practical applications.

Audience

This course is for data scientists and statisticians that have some familiarity with statistics and know how to program R (or Python or other chosen language). The emphasis of this course is on the practical aspects of data/model preparation, execution, post hoc analysis and visualization.

The purpose is to give practical applications to Machine Learning to participants interested in applying the methods at work.

Sector specific examples are used to make the training relevant to the audience.

R

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.

Data Mining and Analysis

28 hours
Overview
Objective:

Delegates be able to analyse big data sets, extract patterns, choose the right variable impacting the results so that a new model is forecasted with predictive results.

Introductory R for Biologists

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.

Data Analytics With R

21 hours
Overview
[R](http://www.r-project.org/) is a very popular, open source environment for statistical computing, data analytics and graphics. This course introduces R programming language to students. It covers language fundamentals, libraries and advanced concepts. Advanced data analytics and graphing with real world data.

Audience

Developers / data analytics

Duration

3 days

Format

Lectures and Hands-on

Statistical Analysis using SPSS

21 hours
Overview
SPSS is software for editing and analyzing data.

Introduction to R with Time Series Analysis

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 a wide variety of packages for data mining.

Tableau Advanced

14 hours
Overview
Tableau helps people see and understand data.

Introduction to Data Visualization with R

28 hours
Overview
This course is intended for data engineers, decision makers and data analysts and will lead you to create very effective plots using R studio that appeal to decision makers and help them find out hidden information and take the right decisions

Data Science: Analysis and Presentation

7 hours
Overview
The Wolfram System's integrated environment makes it an efficient tool for both analyzing and presenting data. This course covers aspects of the Wolfram Language relevant to analytics, including statistical computation, visualization, data import and export and automatic generation of reports.

Mathematica - wprowadzenie, wizualizacja i prezentacja danych

14 hours
Overview
Mathematica consists of 20 years of creating the most powerful specialized mathematical software engine in the world.

Its versatility makes it useful not only for doing basic academic calculations but also completing complicated calculations, like programming or numerical data presentations.

Mathematica integrates software engines doing numerical andsymbolic computation, as well as graph analysis software, programming language, document formats and the possibility of publishing your work results.

Thanks to multiplicity of its functions it’s a priceless tool for mathematicians, physicists, biologists, chemists, financial analysts, sociologists and many more professions that deal with data.

Participants will gain skills to

- perform calculations efficiently
- understanding program commands
- creating text documents
- building charts and graphs
- data presentations

Scilab

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

R for Statistical Analysis

14 hours
Overview
Organization – Lab work and practical examples on real data

Tableau Intermediate Training Course

14 hours
Overview
Tableau helps people see and understand data.

Six Sigma with Minitab

14 hours
Overview
This instructor-led, live training in Ελλάδα (online or onsite) 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.

Market Forecasting

14 hours
Overview
Audience

This course has been created for analysts, forecasters wanting to introduce or improve forecasting which can be related to sale forecasting, economic forecasting, technology forecasting, supply chain management and demand or supply forecasting.

Description

This course guides delegates through series of methodologies, frameworks and algorithms which are useful when choosing how to predict the future based on historical data.

It uses standard tools like Microsoft Excel or some Open Source programs (notably R project).

The principles covered in this course can be implemented by any software (e.g. SAS, SPSS, Statistica, MINITAB ...)

Modelling and Forecasting for Government

14 hours
Overview
The objective of the course is to enable participants to gain a mastery of the basics of modelling and forecasting for government.

Marketing Analytics using R

21 hours
Overview
Audience

Business owners (marketing managers, product managers, customer base managers) and their teams; customer insights professionals.

Overview

The course follows the customer life cycle from acquiring new customers, managing the existing customers for profitability, retaining good customers, and finally understanding which customers are leaving us and why. We will be working with real (if anonymous) data from a variety of industries including telecommunications, insurance, media, and high tech.

Format

Instructor-led training over the course of five half-day sessions with in-class exercises as well as homework. It can be delivered as a classroom or distance (online) course.

Neural Network in R

14 hours
Overview
This course is an introduction to applying neural networks in real world problems using R-project software.

Advanced R Programming

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

Upcoming Statistics Courses

R for Data Analysis and Research

01-10-2021 09:30
7 hours
Remote 850 EUR Classroom N/A
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Forecasting with R

19-10-2021 09:30
14 hours
Remote 1700 EUR Classroom N/A
Read more

Introduction to R

01-11-2021 09:30
21 hours
Remote 2550 EUR Classroom N/A
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Marketing Analytics using R

08-11-2021 09:30
21 hours
Remote 2550 EUR Classroom N/A
Read more

Modelling and Forecasting for Government

24-11-2021 09:30
14 hours
Remote 1700 EUR Classroom N/A
Read more

Other countries

Consulting

Online Statistics courses, Weekend Statistics courses, Evening Statistics training, Statistics boot camp, Statistics instructor-led, Weekend Statistics training, Evening Statistics courses, Statistics coaching, Statistics instructor, Statistics trainer, Statistics training courses, Statistics classes, Statistics on-site, Statistics private courses, Statistics one on one training

Course Discounts

Security Analyst

18-10-2021 09:30
35 hours
Online4250 EUR 3825 EUR Classroom5450 EUR N/A
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Apache Spark MLlib

18-10-2021 09:30
35 hours
Online4250 EUR 3825 EUR Classroom5450 EUR N/A
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Systems and Service Architecture - Microservices Architecture

02-12-2021 09:30
14 hours
Online1700 EUR 1530 EUR Classroom2300 EUR N/A
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Process Mining

03-01-2022 09:30
21 hours
Online2550 EUR 2295 EUR Classroom3350 EUR N/A
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Jenkins: Continuous Integration for Agile Development

24-01-2022 09:30
14 hours
Online1700 EUR 1530 EUR Classroom2300 EUR N/A
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At the moment we are focusing on the following areas:

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