Course Code

advspsspas

Duration

28 hours (usually 4 days including breaks)

Requirements

Knowledge of SPSS and the basis of statistics. Course participant should complete the training of SPSS Statistics Predictive Analytics Software.

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

Course Outline

Preparation of a database for analysis

management of data collection
operations on variables
transforming the variables selected functions (logarithmic, exponential, etc.)

Parametric and nonparametric statistics, or how to fit a model to the data

measuring scale
distribution type
outliers and influential observations (outliers)
sample size
central limit theorem

Study the differences between the characteristics of statistical

tests based on the average and media

Analysis of correlation and similarities

correlations
principal component analysis
cluster analysis

Prediction - single regression analysis and multivariate

method of the least squares
Linear Model
instrumental variable regression models (dummy, effect, orthogonal coding)

Statistical Inference

Courses Discounts

2022-01-31 2022-02-03

Online

Online

3400 EUR

3060 EUR

Classroom

4400 EUR

N/A

Select

Testimonials

★★★★★

I genuinely enjoyed the trainer's helping.

Urszula Kuza

Course:Tableau Advanced

I get answers on all my questions.

Natalia Gladii

Course:Data Analytics With R

The training was adaptable and personalized to our needs.

Dominique Soulie

Course:Minitab for Statistical Data Analysis

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

David Rushe

Course:Tableau Advanced

I genuinely enjoyed working 1:1 with Gunner.

Bryant Ives

Course:Introduction to R

I like the exercises done.

Nour Assaf

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

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

Course:Data Mining and Analysis

I mostly liked the trainer giving real live Examples.

Simon Hahn

Course:Administrator Training for Apache Hadoop

I genuinely enjoyed the big competences of Trainer.

Grzegorz Gorski

Course:Administrator Training for Apache Hadoop

I genuinely enjoyed the many hands-on sessions.

Jacek Pieczątka

Course:Administrator Training for Apache Hadoop

I genuinely was benefit from the flexibility of the trainer.

Irina Ostapenko

Course:Statistics Level 2

A lot of knowledge - theoretical and practical.

Anna Alechno

Course:Forecasting with R

I genuinely liked his knowledge and practical examples.

Irina Tulgara

Course:Forecasting with R

Overview and understanding how big the topic is.

British American Shared Services Europe BAT GBS Finance, WER/Centre/EEMEA

Course:Forecasting with R

Hands on examples were the most helpful.

Sean Kaukas

Course:Introduction to R

I enjoyed the 2nd day we did lots of examples of gauge R&R.

Vascutek Ltd

Course:Minitab for Statistical Data Analysis

I genuinely liked the exercises - use of Minicab.

Vascutek Ltd

Course:Minitab for Statistical Data Analysis

Good overview of R and good range of topics. Trainer was happy to answer all questions.

Symphony EYC

Course:R

I really enjoyed the knowledge of the trainer.

Stephanie Seiermann

Course:R

It was very hands-on, we spent half the time actually doing things in Clouded/Hardtop, running different commands, checking the system, and so on. The extra materials (books, websites, etc. .) were really appreciated, we will have to continue to learn. The installations were quite fun, and very handy, the cluster setup from scratch was really good.

Ericsson

Course:Administrator Training for Apache Hadoop

I really liked the exercises on time series modeling.

Teleperformance

Course:Data Analytics With R

New tool which is “R” and I find it interesting to know the existence of such tool for data analysis.

Michael Lopez - Teleperformance

Course:Data Analytics With R

The tool was interesting and I see the use. I would like to learn about more about it.

Teleperformance

Course:Data Analytics With R

The training felt very personal and customised to what I wanted out of it. It was so non judgemental that I felt comfortable in asking whatever questions I needed to, and the trainer was able to competently answer all my questions. It was a very good overview of useful statistical techniques and there was a good balance between statistical theory and how to use minitab.

Cambridge Consultants

Course:Minitab for Statistical Data Analysis

Lot of hands-on exercises.

Ericsson

Course:Administrator Training for Apache Hadoop

Ambari management tool. Ability to discuss practical Hadoop experiences from other business case than telecom.

Ericsson

Course:Administrator Training for Apache Hadoop

I generally liked the trainer Knowledge.

SAP Business Objects

Course:Statistics Level 1

I mostly was benefit from learning about Gantt charts.

Sarah Drummond - Siemens Gamesa c/o Hemsley Fraser

Course:Tableau Advanced

the matter was well presented and in an orderly manner.

Marylin Houle - Ivanhoe Cambridge

Course:Introduction to R with Time Series Analysis

The fact that we had the time to cover some useful extras.

Alina Vishniakova - TUI Business Services GmbH

Course:Statistics Level 1

He really explained everything well and used examples.

royal bank of Canada

Course:R

The trainer listened to the needs of his audience as best as possible and we were able to train relevant to our needs, Costas prepared material specifically around questions asked on the basic training for the advanced training, a lot of effort and work had been put in and it was appreciated.

Chloe Horton - Siemens Gamesa c/o Hemsley Fraser

Course:Tableau Advanced

I enjoyed the self-learning through exercises and the tips and shortcuts shared.

Competition Bureau

Course:R for Data Analysis and Research

I really enjoyed the all the best.

Halil polat - Amazon Development Center Poland Sp. z o.o.

Course:Data Mining and Analysis

The trainer concentrated on the key topics.

Amazon Development Center Poland Sp. z o.o.

Course:Data Mining and Analysis

Expertise and huge knowledge of the trainer.

Amazon Development Center Poland Sp. z o.o.

Course:Data Mining and Analysis

I was benefit from the guidance and sharing life examples + answering all questions.

Marta Melloch - Amazon Development Center Poland Sp. z o.o.

Course:Data Mining and Analysis

The trainer, the food, and the space were all great.

Canada Revenue Agency

Course:R

I like actually writing code with sample data and annotating the script for future reference.

Canada Revenue Agency

Course:R

The pre-made scripts used for training material was very useful. The interactive training allowed for a clear understanding of each topic.

Canada Revenue Agency

Course:R

that i was getting my all answers and knowledge i want.

Ismail Ahli - Dubai Civil Aviation Authority

Course:R for Statistical Analysis

Modeling and how to fit the data to model

USDA

Course:R for Data Analysis and Research

The remote classroom setting worked very well

Trimac Management Services LP

Course:Introduction to R with Time Series Analysis

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 many practical examples / assignments that we went through were great. For me, I learn better by seeing examples and applying them elsewhere. The use of real data and applying what was taught against it was extremely valuable. Michaels PowerPoint presentations and his ability to work through each solution was invaluable.

Trimac Management Services LP

Course:Introduction to R with Time Series Analysis

Examples

Saudi Health Council

Course:Introduction to R

The fact he had dif excel and data sheets with exercises for us to do.

Deepakie Singh Sodhi - Queens College, CUNY

Course:Excel For Statistical Data Analysis

Steve was willing to answer every questions and worked diligently to address any individual concerns or technical issues as they arose in the class. He also did a great job of presenting the technical details in a way that made it less intimidating to even the least tech savvy people in the room. Personally, learning about some useful shortcuts in Excel that I didn't know about will certainly improve my overall workflow when using Excel in the future! I am so appreciative of those little details that I was exposed to during the two-day training.

Alan Gonzalez - Queens College, CUNY

Course:Excel For Statistical Data Analysis

The reminder of the world of statistics :)

Export Credit insurance corporation

Course:Excel For Statistical Data Analysis

Advanced Statistics using SPSS Predictive Analytics Software Training Course

Course Code

Duration

Requirements

Overview

Goal:

The addressees:

Course Outline

Preparation of a database for analysis

Parametric and nonparametric statistics, or how to fit a model to the data

Study the differences between the characteristics of statistical

Analysis of correlation and similarities

Prediction - single regression analysis and multivariate

Statistical Inference

Courses Discounts

Testimonials

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