Data Management, Graphics and Statistical analysis using SPSS

6 years ago Posted By : User Ref No: WURUR19988 0
  • Image
  • TypeTraining or Development Class
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 14-05-2018 - 25-05-2018
Training or Development Class Title
Data Management, Graphics and Statistical analysis using SPSS
Event Type
Training or Development Class
Training or Development Class Date
14-05-2018 to 25-05-2018
Last Date for Applying
07-05-2018
Location
Nairobi, Kenya
Organization Name / Organize By
Indepth Research Service
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

Location
Nairobi, Kenya

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

Venue: Indepth Research Services, Nairobi, Kenya

Event Date: 14th – 25th May 2018.

NITA CERTIFIED

Recent Clients

 

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.

REQUIREMENTS

The training is designed for participants who are reasonably proficient in English.

TRAINING OBJECTIVES

  • 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

TRAINING CONTENT

  • 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.

Tailor-Made Training

This training can also be customized for your institution upon request to a minimum of 4 participants. You can have it delivered in our training center or at a convenient location.

 

How to participate

 

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ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the Training Officer.

Email: [email protected]. Mob: +254 715 077 817 Tel: 020 211 3814

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B 07th May 2018.

Send proof of payment to [email protected].

 

Others Details

ACCOMMODATION Accommodation is arranged upon request. For reservations contact the Training Officer. Email: [email protected]. Mob: +254 715 077 817 Tel: 020 211 3814 PAYMENT Payment should be transferred to IRES account through bank on or before C.O.B 07th May 2018. Send proof of payment to [email protected].

Registration Fees
Available
Registration Fees Details
USD 1100
Registration Ways
Email
Phone
Website
Address/Venue
  Rhapta Road, 104289  Pin/Zip Code : 00101
Landmark
Nairobi Area
Official Email ID
Contact
Indepth research Services

Rhapta Road, 104289

[email protected]

   715077817