Data Analysis and Management

INTRODUCTION

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.

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

REQUIREMENTS

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

CLASS SIZE

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.

DURATION

4 days         

TRAINIG CONTENT

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 Basics

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,

Data Management

Identify usable dataset; validate claims on data structure; identify duplicate observations; alarming and nonsensical data; benefits of filtering

Output Management

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

Statistical description

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.

Advanced graphing
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.

METHODOLOGY

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.

ACCREDITATION

Upon successful completion of this training, participants will be issued with an Indepth Research Services (IRES) certificate.

TRAINING VENUE 

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 FEES

Discount on training fees payment

ACCOMMODATION

Accommodation is arranged upon request. For reservations contact the outreach manager.

 Email: This e-mail address is being protected from spambots. You need JavaScript enabled to view it .  

Mob: +254 721 440 526, +254 715 077 817

Tel: 020 211 38 14

HOW TO APPLY

To apply for this course kindly register online in our website before C.O.B. 4th March 2013. For more details contact: The Manager - Training and Research Department, Indepth Research Services;  Mobile: (254) 721 440 526, Tel: (+254) 0202113814,  Email:   This e-mail address is being protected from spambots. You need JavaScript enabled to view it .

PAYMENT

Payment should be transferred to IRES account through bank on or before C.O.B. 11th March 2013. Kindly send proof of payment to   This e-mail address is being protected from spambots. You need JavaScript enabled to view it

TAILOR- MADE

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.