Data analysis with STATA is designed to train course participants to be professional data
analysts. It is designed for participants without or with very little experience using STATA, but it
requires basic knowledge on descriptive statistics. 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.
Participants will also lean how to utilize loops and local or global variables, use advanced
commands such as by, collapse, or reshape, and to create informative do-files. During the
course, the instructor will use STATA to demonstrate relevant techniques in each topic.

The main goal of this course is for participants to be able to independently create a working
dataset from raw data, conduct statistical analyses, and create informative graphics and reports.

Students will have to access the following materials:
1. Lecture Notes. The lecture notes are a combination of slides and in-class notes. The lecture
notes will be uploaded in a shared folder before each meeting.
2. STATA do-files. Do-files will compile commands and syntaxes discussed in the class. The do-files will be uploaded in a shared folder after each meeting.
3. Supplementary notes:
a) Statistical Methods for Social Sciences
b) Basic notions about the use of STATA.
c) Descriptive procedures.
d) Graphs.
e) Hypothesis testing: comparison of proportions and two means.
f) Comparison of k means: ANOVA and Kruskal-Walli
g) Correlation, time series and regression.
h) Survival analysis.
i) Introduction to multivariate models