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Course 2020-2021 a.y.

20684 - STATA PREPARATORY COURSE

All Programs
IT Education Center

Course taught in English

Go to class group/s: 1

DSBA (I sem. - P) - PPA (I sem. - P)
Course Director:
MARIA CHIARA DEBERNARDI

Classes: 1 (I sem.)
Instructors:
Class 1: MARIA CHIARA DEBERNARDI


Suggested background knowledge

To feel comfortable in this course, students should be familiar with basic statistical concepts (i.e. frequency distribution, average, standard deviation, probability, bivariate descriptive statistics …) as taught in a first level statistical course. Basic computer knowledge is given as acquired (i.e. file manager use, basic knowledge of Excel ...).


Mission & Content Summary
MISSION

Stata is a statistical software package widely adopted in a scholar and research environment. The aim of this preparatory course is to help students begin their university studies in a Master of Science with comfort and competence, since in many courses basic Stata topics will be taken for granted. The course is designed for students who have little or no experience with Stata application and intend to develop the knowledge of this useful and user-friendly software for business and economics data analysis. The course has three main objectives: - to present the structure and how Stata works; - to demonstrate the potentialities of the software for analyzing data, using real examples; - to enable students to do, by their own, basic statistical analyses.

CONTENT SUMMARY
  • Stata IDE overview
  • Variables management
  • Data file management
  • Preparing data for analysis
  • Exploratory data analysis
  • Graphic representations
  • Hypothesis testing
  • Linear regression and its diagnostics
  • Working with time series data
  • Programming with Stata

Intended Learning Outcomes (ILO)
KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
  • Use different types of dataset
  • Clean and prepare data for subsequent analysis (pre-processing phase)
  • Produce basic descriptive analyses by means of simple statistical tables, measures and graphs
  • Estimate a linear regression model (OLS)
  • Work with time series
  • Read and edit Stata scripts
APPLYING KNOWLEDGE AND UNDERSTANDING
At the end of the course student will be able to...
  • Understand which kind of data are needed by a specific algorithm and how to adapt data accordingly
  • Perform and read simple exploratory data analyses
  • Interpret the main outputs of regression

Teaching methods
  • Face-to-face lectures
  • Exercises (exercises, database, software etc.)
  • Interactive class activities (role playing, business game, simulation, online forum, instant polls)
DETAILS
  • The face-to-face lectures are held in IT classrooms, so that each student has their own PC to use Stata together with the teacher
  • Every lesson combines the presentation of syllabus topics followed by examples and in class exercises
  • After each lesson, students will be able to download exercises from the course web page on Bboard. These exercises are meant as self-assessment of the learning aspects indicated, by comparing students' own solutions with the ones provided on Bboard (mostly Stata scripts)
  • For doubts or clarifications, students can use the dedicated online forum on the elearning page of the course or send an email to the teacher. However, all the answers will always be published in the forum
  • To collect classroom feedback from both in presence and in distance students, the teacher might use instant polls during the lessons

Assessment methods
  Continuous assessment Partial exams General exam
  • Self-assessment
  • x    
    ATTENDING AND NOT ATTENDING STUDENTS

    In order to measure the acquisition of the learning outcomes mentioned above, the self-assessment will be based on practical exercises, carried out both in class and independently at home.


    Teaching materials
    ATTENDING AND NOT ATTENDING STUDENTS
    • Slides, starting dataset and final scripts will be shared with students at the beginning of the lesson (download from Bboard)
    • After each lesson, homeworks with solutions will be available on Bboard
    • Additional on line materials will be indicated during the course
    • Suggested optional bibliography: L.C. HAMILTON, Statistics with STATA: Version 12, 8th Edition, Cengage, 2012
    Last change 28/07/2020 14:42