Diplomado_PUCP

This public repository contains the training materials, tutorials, code, and assignments for the Intensive Python Course at PUCP. The syllabus and structure of this course was created by Carla Solis. Please, check her Python Course for further details.

I. General Information

Course name	Python Fundamentals for CCSS and Public Management
Number of Hours of Theory	18 hours
Professor	Alexander Quispe Rojas
PUCP email	alexander.quispe@pucp.edu.pe
Teaching Assistant	Anzony Quispe Rojas
Email	anzony.quispe@gmail.com

II. Abstract

The course will address the essential elements to develop programming skills with Python. In particular, the goal is to incorporate Python as a toolbox for quantitative research in the social sciences. This introduction will focus on data management and lay the foundation for training students in data science. Basic programming concepts such as data structures, defining functions, and working with essential specialized libraries for working with data, especially Numpy and Pandas, will be taught.

III. Presentation

This course is intended for social science students and professionals with no prior experience with programming languages or who have just started using statistical programs such as Stata and have found it attractive to interact with data through code. Ultimately, this course seeks to prepare students for the job market by providing highly demanded skills, which will prepare them for a first job or internship that involves data science.

IV. Learning Outcomes

The course aims to familiarize and develop with Python so that students can autonomously use data science tools in their research and future job positions. At the end of the course, students will be able to:

• Interact with Python through Jupyter notebooks and master Markdown writing.
• Write code that solves daily data analysis tasks.

V. Course Content

1. Github
2. Listas, Diccionarios, Numpy
3. Pandas
4. If condition, loop
5. Funciones and Clases I
6. Clases 2

VI. Methodology

Classes will be given synchronously using Zoom. In exploring the use of Python for data analysis, the use of databases for the social sciences will be emphasized.

VII. Evaluation

The evaluation will consist of 5 projects. The minimum grade will be deleted.

N°	Project	Weighting on Final Grade	Date	due
1	Assignment 1	20%	01/13/2024	01/20/2024
2	Assignment 2	20%	01/20/2024	01/27/2024
3	Assignment 3	20%	01/27/2024	02/03/2024
4	Assignment 4	20%	02/03/2024	02/10/2024
5	Assignment 5	20%	02/10/2024	02/17/2024

VIII. Compulsory Bibliography

This course will not have a mandatory bibliography. Python is a widely supported language with extensive documentation and a very large community that supports each other through Stack Overflow and other forums. For this reason, the class notes will be the primary reference material of the course.

IX. Schedule

Introduction to Python

Intermediate Python Course

Week 4

Date	Day	Schedule	Topic	Subtopic
01/13/2024	Saturday	14:00-17:00	WebScraping	Selenium

Week 5

Date	Day	Schedule	Topic	Subtopic
18/12/2021	Saturday	14:00-17:00	Geocoding	Googlemaps

Week 6

Date	Day	Schedule	Topic	Subtopic
8/1/2024	Saturday	14:00-17:00	Calculate Distances, Scraping twiter	Google Directions API Twiter API
8/1/2024	Saturday	14:00-17:00	Calculate Distances, Scraping twiter	A/B testing Causal ML

X. Complementary Bibliography

1. Matthes, E. (2016). Python crash course: A hands – on, project-based introduction to programming (2nd ed.). No Starch Press. ISBN: 9781593279288

2. McKinney, W. (2013). Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython. O'Reilly Media. ISBN: 9789351100065

3. VanderPlas, J. (2016). Python Data Science Handbook. O'Reilly Media. ISBN: 9781491912058

XI. Groups - Second Part

Group1	Group2	Group3	Group4	Group5	Group6	Group7
REYNA NIEVA, GINO SALVATTORE	ZUÑIGA ROMERO, ADRIANA VIOLETA	FLORES GOICOCHEA, DANIELA SOFIA	REMUZGO MELENDEZ, CARMEN ELIZABETH	QUISPE PAUCAR, ANGIE CRISTINA	SÁNCHEZ PRIETO, FERNANDO ALONSO	DIAZ GONZALES, EMMANUEL
ARISTA APARI, SERGHI GIANFRANCO	PLASENCIA CUSTODIO, CLAUDIA JIMENA	QUISPE MACAVILCA, LUIS CLAUDIO	BENITES GARNIQUE, JOSUE MARCIAL	MONTJOY PITA, DANIEL GERAY	FLOREZ OKUMURA, LEONARDO ANTONIO	ALARCON GUTIERREZ, EDUARDO BASILIO
CORDOVA GAMBOA, ANA PAOLA	ECHEVARRIA CARHUANCHO, FRANCISCO ANDRES	DELGADO DIAZ, DIEGO GONZALO	SUAREZ PATILONGO, MICHAEL SALVADOR	VISURRAGA RODIL, JOEL ANDRE	MOLLA LEON, WALTER	ABURTO CAMACLLANQUI, ELÍAS
GAVILAN CASTAÑEDA, MAYRA ALEXANDRA	VERA ROMAN, JOSSELYNE ANTUANE	RAMIREZ DE LA CRUZ, KELLY GUADALUPE	SILVA ZARATE, CECILIA ISAI	RIVAS MADUEÑO, MAURICIO RICARDO	CAJAS FALCÓN, ALONDRA NICOLE	SANTANDER ALVA, DANIELA
RIVAS SU, JUAN DIEGO	HUAMAN GARCIA, YANELL VALERYN	ZAPATA ROJAS, ALVARO DANTE	TORREJON MAGUIÑA, CLAUDIA FIORELLA	CALDERON NEYRA, JOSE DANIEL	PANDO PILCO, MARTIN DE JESUS

X. Website

Video tutorials

1. https://www.youtube.com/watch?v=zyGfECfJ9BY
2. https://www.youtube.com/watch?v=K5xImVmm2Ds

Templates

1. https://bootstrapmade.com/bootstrap-portfolio-templates/
2. https://cssauthor.com/free-bootstrap-portfolio-templates/

XI. Office Hours

Anzony: Wednesdays 8:00-10:00pm. Use this link.