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Training on Data Processing and Analysis

Discussion in 'Matangazo madogo' started by noma, Mar 10, 2012.

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    noma Member

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    Mar 10, 2012
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    Short Course Announcement on “DATA PROCESSING AND ANALYSIS”

    Introduction

    The process of organizing and thinking about data is key to understanding what the data does and does not contain. There are a variety of ways in which people can approach data analysis, and it is notoriously easy to manipulate data during the analysis phase to push certain conclusions or agendas. This implies that knowledge on terms and operations involved in the analytical procedure and interpretation of the results correctly are important factors during data processing and analysis.

    Data processing as a crucial step for data analysis is normally ignored; people directly go to the analysis with a set of data that contain impurities (missing values, wrongly coded etc) that likely may lead to invalid results. Furthermore discovering appropriate analysis for a particular set of data is a major problem for many junior researchers as a result wrong data analysis techniques are adopted.

    For these reasons, it is important to pay attention on data processing and analysis. Thus, it is essential to conduct different trainings regarding the problems arise.

    The department is announcing a short course on “DATA PROCESSING AND ANALYSIS” that will be conducted on March 17 – 18, 2012.

    Objective of the training
    The objective of the training is to introduce junior researchers to different statistical techniques applied during data processing and analysis and hence practical interpretation of the result.

    Course Description
    This short course training deals with processing and analysis of raw data collected from the field, being it primary or secondary. The training enables trainees to know key issues that should be considered when plan for data processing and analysis. It provides better insight into feasibility of the analysis to be performed as well as resources required.

    The training will cover Data entry, Validation, Exploratory data analysis, Cross tabulation, Transformation, Transfer data, Preliminary part of Data Analysis for both Quantitative and Qualitative data. Data sheet that will be used is Cspro while analysis will be performed using SPSS/STATA.
    Intended Participants: Junior researchers. University of Dodoma (UDOM) students or other higher learning institution students are highly encouraged to participate in the training.

    All participants are highly encouraged to come with their laptops. There will be free installation of statistical packages that will be used. Also certificate of attendance will be offered.

    Participation Fee: Tshs 30,000/=

    Mode of payment: All payments should be done through;
    Bank: CRDB
    Account no: 0150221567000
    Name: College of Natural and Mathematical Sciences.

    Please confirm your payment by sending SMS or an email using contacts below.

    Venue: School of Social Sciences

    Contacts: For further information and enquiries please write to;

    Short course Coordinators,
    Department of Statistics,
    School of Mathematical Sciences,
    College of Natural and Mathematical Sciences,
    University of Dodoma,
    P. O. Box 338,
    Dodoma
    Mobile: 0787288998 or 0717999012
    E-mail: mtakwimu@yahoo.com or abbasism2003@yahoo.co.uk

    Training Time Table

    [TABLE="width: 609"]
    [TR]
    [TD]Time[/TD]
    [TD]Saturday, March 17, 2012[/TD]
    [TD]Time[/TD]
    [TD]Sunday, March 18, 2012[/TD]
    [/TR]
    [TR]
    [TD]08:30 - 09:30[/TD]
    [TD]Registration[/TD]
    [TD]10:00 - 11:00[/TD]
    [TD]Lesson III[/TD]
    [/TR]
    [TR]
    [TD]09:30 - 10:00[/TD]
    [TD]Inauguration[/TD]
    [TD]11:00 - 12:00[/TD]
    [TD]Lesson IV[/TD]
    [/TR]
    [TR]
    [TD]10:00 - 11:30[/TD]
    [TD]Lesson I[/TD]
    [TD]12:00 - 13:00[/TD]
    [TD]Exercise[/TD]
    [/TR]
    [TR]
    [TD]11:30 - 12: 30[/TD]
    [TD]Lesson II[/TD]
    [TD]13:00 - 14:00[/TD]
    [TD]Lunch (own cost)[/TD]
    [/TR]
    [TR]
    [TD]12:30 - 14:00[/TD]
    [TD]Lunch (own cost)[/TD]
    [TD]14:00 - 15:00[/TD]
    [TD]Presentation/Discussion[/TD]
    [/TR]
    [TR]
    [TD]14: 00 - 15:00[/TD]
    [TD]Exercise[/TD]
    [TD]15:00 - 15:30[/TD]
    [TD]Conclusion/Remarks[/TD]
    [/TR]
    [TR]
    [TD]15: 00 - 16:00[/TD]
    [TD]Presentation/Discussion[/TD]
    [TD]15:30 - 16:00[/TD]
    [TD]Closure[/TD]
    [/TR]
    [/TABLE]
     
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