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Intermediate Data Management, Analysis and Graphics with Stata

INTRODUCTION

This course is designed to transform participants into professional data analysts. It is designed for participants without or with very little experience using Stata.  Some basic knowledge on statistics is required. Course participants will learn how to “talk” to Stata, importing data to Stata, constructing a workflow in Stata, dealing with missing data, data manipulation, running basic statistical routines, combining datasets, programming, creating communicative graphics, running regression models, and presenting statistical results. During the course, the instructor will use Stata to demonstrate relevant techniques in each topic.

DURATION

5 days

TOPICS TO BE COVERED

Day 1. Creating a working dataset from raw data

  • Stata environment, help files, and third-party packages
  • Using do-files: commenting
  • Importing data: excel, CSV, public data source
  • Data structure: wide vs long
  • Cleaning the dataset: missing values, recode, renaming, and labeling
  • Utilizing loops
  • Describing the data: summarize
  • Using log files

Day 2 Data manipulation

  • Generating new variables: gen, egen, xtiles
  • Using the by command
  • Logical expressions
  • Using preserve and restore
  • Keeping or dropping variables
  • Creating dummy variables
  • Combining datasets
  • Using the collapse command

Day 3 Basic statistical routines

  • Creating a summary statistics
  • Correlation Student t-test
  • Cross tabulation and Chi-squared test

Day 4 Graphics

  • Scatter plot
  • Line plot
  • Histogram
  • Bar graph
  • Pie chart
  • Fitted regression line
  • Overlaying two graphs: two-way
  • Combining two graphs: graph combine

Day 5 Regression Analysis

  • Model specification
  • Using the reg command
  • Analytical weights
  • Estimation of standard errors: robust, cluster, bootstrap
  • Interaction terms
  • Analysis of marginal effects: margins and margins plot
  • Using esttab to export regression results to .docx

REQUIREMENTS

Participants should be reasonably proficient in English. Applicants must live up to Indepth Research Services (IRES) admission criteria.

METHODOLOGY

The instructor led trainings are delivered using a blended learning approach and comprise 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 training is residential and will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, lunch, and study visits.

All participants will additionally cater for their, travel expenses, visa application, insurance, and other personal expenses.

ACCOMMODATION

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

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

Mob: +254 715 077 817

Tel: 020 211 3814

TAILOR- MADE

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.

For further inquiries, please contact us on Tel: +254 715 077 817, +254 (020) 211 3814 or mail This email 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  May 2020.

Send proof of payment to This email address is being protected from spambots. You need JavaScript enabled to view it.

CANCELLATION POLICY

Payment for all courses includes a registration fee, which is non-refundable and equals 15% of the total sum of the course fee.

  1. Participants may cancel attendance 14 days or more prior to the training commencement date.
  2. No refunds will be made 14 days or less to the training commencement date. However, participants who are unable to attend may opt to attend a similar training at a later date, or send a substitute participant provided the participation criteria have been met.

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.

Event Properties

Event Duration 5 Days
Event Date 18-05-2020
Event End Date 22-05-2020
Cut off date 11-05-2020
Individual Price(Kenyan) KES 69,000
Individual Price (International) EUR 790
Individual Price(International in Dollars) USD 920
Location Nairobi, Kenya
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