Data Management, Graphics and Statistical analysis using SPSS

6 years ago Posted By : User Ref No: WURUR19443 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 30-04-2018 - 11-05-2018
Training or Development Class Title
Data Management, Graphics and Statistical analysis using SPSS
Event Type
Training or Development Class
Training or Development Class Date
30-04-2018 to 11-05-2018
Last Date for Applying
23-04-2018
Location
Nairobi, Kenya
Organize and Presented By
Indepth Research Services
Organizing/Related Departments
Research
Organization Type
Organization
Training or Development ClassCategory
Both (Technical & Non Technical)
Training or Development ClassLevel
International
Related Industries

Education/Teaching/Training/Development

Research/Science

Business Development

Location
Nairobi, Kenya

Event: Data Management, Graphics and Statistical analysis using SPSS Course

Venue: Indepth Research Services, Nairobi, Kenya

Event Date: 30th   April – 11th May 2018

 

NITA CERTIFIED.

 

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INTRODUCTION

SPSS is used extensively in business, government and academia. It is a statistical analysis package and so allows any organization or individual that holds large amounts of data to analyze it and understand it more deeply. At its most simple it is very useful for discovering correlations between different variables. At its most powerful it can be used to make statistically valid forecasts for future events or results.

Everything in our course is aimed at making you a faster and more relaxed SPSS user. Our courses are deliberately hands-on including lots of small exercises and examples to ensure that you spend time working with SPSS. We believe that software skills that are developed in this way are deeper than those developed from classroom explanations. Our exercises are carefully chosen to emphasis the key aspects of each lesson.

DURATION

10 Days

WHO SHOULD ATTEND?

This is a general course targeting participants with elementary knowledge of Statistics from Agriculture, Economics, Food Security and Livelihoods, Nutrition, Education, Medical or public health professionals among others who already have some statistical knowledge but wish to be conversant with the concepts and applications of statistical modeling. No Prior attendance of a SPSS course is required. The training is designed for participants who are reasonably proficient in English.

COURSE OBJECTIVES

By the end of the training, you will be able to:

  • Understand and appropriately use statistical terms and concepts
  • Design computer aided data capture screens using CSPRO
  • Use mobile phone data collection tool Open Data Kit (ODK) to collect survey data
  • Convert data into various formats using appropriate software
  • Perform basic data analysis tasks with SPSS
  • Perform simple to complex data management tasks using SPSS
  • Correctly identify appropriate statistical test for basic analysis s and perform them using SPSS
  • Perform basic longitudinal, time series and econometric analysis

TOPICS TO BE COVERED

  • Basic statistical terms and concepts
  • Concepts and Software for Data Processing
  • An overview of SPSS
  • Data Entry, management and Manipulation
  • Tabulations and Graphics
  • Quantitative Analysis using SPSS
  • Advanced Statistical Analysis

Visit our website for more details.

 

How to participate

  • Tailors make your course.  
  • Register individual.
  • Register as a group.
  • Become one of our partners.
  • Purchase software’s
  • Frequently asked Questions (FAQ’s)

 

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View course catalogue in Research Institute

For further inquiries, please contact us on Tel: +254 715 077 817, +254 731240802.

 

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer Email:[email protected]. Mob: +254 715 077 817

 

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B.23rd April 2018

Send proof of payment to [email protected]

 

Registration Fees
Available
Registration Fees Details
2200 USD
Registration Ways
Email
Phone
Website
Address/Venue
  Indepth Research Services, Nairobi, Kenya  Pin/Zip Code : 00101
Official Email ID
Contact
Indepth Research Services

104289

[email protected]

   +254715077817