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Data Analysis and Management
- Data Management, Analysis, and Graphics using STATA
- 18.03.2013 - 21.03.2013
- Sportsview Hotel Kasarani - Nairobi
- Data Management and Analysis
This training specifically deals with management, analysis and graphing of quantitative data using STATA. The training combines theoretical foundations with methodological perspectives, aiming at equiping participants with knowledge on use of quantitative data in social research using STATA.
Stata is a complete, integrated statistical package that provides everything you need for data analysis, data management, and graphics.
The five days training also explore on the quantitative data gathering tools with particular focus on emerging tools for rapid data gathering such as mobile data gathering, SMS Surveys and Online surveys.Participants will be guided through practical exercises on the use of CSPro a software tool used for entering, editing, tabulating, mapping, and disseminating census and survey data.
FOR WHOM IS THE TRAINING RELEVANT
This intermediate course in STATA is suitable for Researchers, Data Analysts, Statisticians, Policy Analyst, Data Managers, Economists, Community Development Practitioners, Clinical and Health Workers, Nutritionist, Monitoring and Evaluation Practioners, Food Security and Livelihood practioners, Research Student, Program Managers and executives who use or intend to use STATA as a tool to analyse the data they collect in their organisations
The participants are required to have a good command of the English language and reasonable computing skills. Prior knowledge in STATA and Statistics is an added advantage but not a compulsory requirement
The class size is limited to 10 participants to ensure that each participants has the opportunity to interact with the facilitator. The training may be cancelled if there are less than five participants.
Introduction to Statistics (Concepts Only)
Descriptive Statistics; Inferential Statistic; Qualitative and quantative research
Data gathering and Processing
Planning data gathering and processing; Distinguishing between qualitative and quantitative data; Quantitative information gathering tools; Mobile Data Gathering - Open Data Kit; Tools for preparing and processing data - CSPro
Stata basic: using dialog boxes;the command widow; Configuration special features; updates; personalised system; user-written extensions; directory management; obtain help and perform search; online sources; Stata syntax; saving time and effort
Data formats and data handling
Data formats; import, export, load and save datasets; create pseudorandom datasets; review and document the dataset; sorting and ordering;simulated datasets; display formatting; append and merge, reorganise datasets,
Data Structures and Types of Variables
Categorical data; continuous data; numerical, string and date/time variables; manage missing data; create dummy variables; other special purpose variables; convert datasets into summaries, label variables, encoded variables, generate new variables,
Identify usable dataset; validate claims on data structure; identify duplicate observations; alarming and nonsensical data; benefits of filtering
Logs for output; use of translators for exporting Stata files and output; copy and paste from Stata to text editors and spreadsheets; reproduction of past work; stored results; saved results; the command display; explicit subscripting; important prefixes
Basics of Stata programming
Executing commands using do-files; proper structure of do-files; using comments; writing long commands; do v.s run; combination of preserve and restore; the command display; accessing Stata parameters and Stata constants
Using basic statistical commands;Reusing results of Stata commands; Means, variances and higher order moments; medians and modes; confidence intervals
Linear regression analysis
Ordinary least squares; predicted values and residuals; correlation and standardized regression coefficients; hypothesis testing; problems with regression
Introduction to panel data analysis
Advantages of panel data analysis; panel data sets; balanced and unbalanced panels; panel data dimensions and frequencies; properties of estimators; unbiasedness; efficiency; consistency; describing panel data; graphing panel data
Introduction to forecasting and time series
Qualitative and quantitative forecasts; sata structure; describing time series; graphing time series; smoothing; time series components; data transformations; basic trend modelling and forecasting; forecast accuracy
Basics of graphing with Stata
Dialog boxes vs. do-file routines; inspecting the data prior graphing; reducing the data dimension to speed up graphing; setting range of variation; graph example - histogram; titles; axes; labels; bars; adding notes; the concepts of box, position, line, text, colour and font.
Subgroups and overlays
Graphing by categorical groups; subgroup options; formatting graph text; using special characters; graph aspect and size; superimposing densities and other graphs; legends for multiple graphs; multiple axes; graph help files; saving and modifying graphs; graph export formats.
Generalised syntax for overlaying multiple graphs
The -twoway- command; scattergraph; linear fits; nonlinear fits; polynomials; nonparametric density estimators; parametric density estimators; tiding the syntax; softcoded vs hardcoded syntax.
Using loops for multiple overlays; combining multiple graphs side-by-side; recasting twoway plots; reproducing formatting; do-file options; existing graph schemes; creating your own graph scheme; the graph editor as a scheme maker; special graphs; relative values of graph parameters.
The instructor led trainings are delivered using a blended learning approach and comprises of presentations, guided sessions of practical exercise, web based tutorials and group work. Our facilitators are seasoned industry experts with years of experience, working as professional and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.
The venue of the training includes IRES training Centre or another location chosen by the group or in-house for corporates. For locations outside IRES training Centre, the participants are required to have laptops where the software and other materials for the training will be loaded.
TRAINING FEESThe standard Fees for the training is US$ 867 or KES 65,000 Exclusive of VAT. The training fee covers tuition, training materials, refreshments and lunch.
Discount on training fees payment
Payment two weeks before training commencement date
Payment two weeks before commencement date for a minimum of five participants
Accommodation is arranged upon request. For reservations contact the outreach manager.
Mob: +254 721 440 526, +254 715 077 817
Tel: 020 211 38 14
HOW TO APPLY
This scheduled course can also be tailored for your organisation. To find out how our tailor-made training can help your organisation, call our team on +254 721 440 526.
Please Note: The program content shown here is for guidance purposes only. Our continuous course improvement process may lead to changes in topics and course structure.
- Sportsview Hotel Kasarani
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