Event: Fundamentals of data management analysis and graphics using spss

Venue: Indepth Research Services, Nairobi, Kenya.

Event Date: 12th March – 16th March 2018

NITA CERTIFIED.

RECENT CLIENTS

INTRODUCTION
SPSS (Statistical Package for Social Scientists) is a comprehensive statistical and data management package for analysts and researchers. Its statistical capabilities alone range from simple percentages to complex analyses of variance, multiple regressions, and general linear models as well as to generate tabulated reports, charts and plots of distributions and trends. SPSS makes statistical analysis more accessible for the beginner and more convenient for the experienced user. The Data Editor offers a simple and efficient spreadsheet-like facility for entering data and browsing the working data file. Most tasks can be accomplished simply by pointing and clicking the mouse.

COURSE OUTLINE

• Introduction to SPSS
• Overview of SPSS
• Entering Data
• Graphing Data
• Descriptive Statistics: Measures of Variability and Central Tendency
• Correlation
• Regression and Multiple Regression
• Comparing Means Using t-tests
• Comparing Means Using One-Way ANOVA
• Comparing Means Using Factorial ANOVA
• Comparing Means Using Repeated Measures ANOVA
• Chi-Square
• Nonparametric Statistics

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How to participate
• Tailor make your course.
• Register as an 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 (020) 211 3814.

ACCOMMODATION
Accommodation is arranged upon request. For reservations contact the Training Officer.
Email: outreach@indepthresearch.org. 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 05th March 2018.
Send proof of payment to outreach@indepthresearch.org

Developers and manufacturers of embedded systems and devices need to build systems that answer the demands of data management , check iot data management and analytics. They need to design a data management framework compatible with all the software and hardware that play a role in collecting, managing and distributing data. The design needs to be efficient to accelerate time-to-market of the end-product.