Courses

I have always enjoyed programming, a passion that started way beyond my University Education, at my Bachelor’s in Economics started to apply programming to Economics and continue to execise it later on my professional career, it was when I entered Nielsen that decided to deepen my programming and Data Science tools.

As from I can see many topics overlap among Economics and Data Science as data analysis, regressions, impact evaluation, statistics, tables and visualizations; more over both of them complement each other.

Following is a list of the courses I have taken so far:

2024
  • WordPress & Elementor Mastery 2024 – Learn To Build Websites (21 Hours)
2023
  • Python GUI Development with PyQt6 & Qt Designer (25 Hours)
2022
  • 100 Days of Code: The Complete Python Pro Bootcamp (52 Hours)
  • Python – The Practical Guide (18 Hours)
  • Python Django – The Practical Guide (23 Hours)
  • Build REST APIs with Django REST Framework and Python (13 Hours)
  • Algorithmic Trading A-Z with Python, Machine Learning & AWS (43 Hours)
  • Algorithmic Trading & Time Series Analysis in Python and R (19 Hours)
  • Quantitative Finance & Algorithmic Trading in Python (15 Hours)
  • Python, JS, & React | Build a Blockchain & Cryptocurrency (15 Hours)
  • GUI Development with Python and Tkinter (11 Hours)
  • Mathematical Foundations of Machine Learning (17 Hours)
  • Econometrics and Statistics for Business in R & Python (10 Hours)
  • D3.js Data Visualization Fundamentals – Hands On (5 Hours)
  • Docker: A Project-Based Approach to Learning (5 Hours)
  • CSS – The Complete Guide (incl. Flexbox, Grid & Sass) (22 Hours)
  • Bootstrap 4 From Scratch With 5 Projects (12 Hours)
2021
  • Django in AWS (EC2): Fundamentals Course (6 Hours)
  • Create an API with Python | Django | MySQL | REST Framework (3 Hours)
  • Build a Backend REST API with Python & Django (10 Hours)
  • Python Beyond the Basics – Object-Oriented Programming (5 Hours)
  • The Complete Web Development Bootcamp (61 Hours)
  • The Complete JavaScript Course: From Zero to Expert (68 Hours)
  • Full Stack Web Development and AI with Python (Django) (40 Hours)
  • The Complete Flutter Development Bootcamp with Dart (29 Hours)
2020
  • Machine Learning, Data Science and Generative AI with Python (20 Hours)
  • A Complete Guide on TensorFlow 2.0 using Keras API (13 Hours)
  • Artificial Intelligence A-Z (15 Hours)
  • Python REST APIs with Flask, Docker, MongoDB, and AWS DevOps (12 Hours)
  • Interactive Python Dashboards with Plotly and Dash (10 Hours)
  • AWS Serverless APIs & Apps – A Complete Introduction (8 Hours)
  • GitHub Ultimate: Master Git and GitHub – Beginner to Expert (7 Hours)
  • Hosting Websites with Amazon Lightsail | AWS (8 Hours)
2019
  • Machine Learning and Deep Learning (64 Hours)
  • Python and Django for Full Stack Web Development (26 Hours)
  • SQL and SAS Bootcamps (20 Hours)
  • Spark and Python for Big Data with PySpark (11 Hours)
  • Python for Financial Analysis and Algorithmic Trading (17 Hours)
  • R Programming Basic and Advanced Course (20 Hours)
  • Basic and Advanced Tableau for Data Science (20 Hours)
  • The Complete Financial Analyst Course (20 Hours)
2018
  • Python for Data Science and Machine Learning Bootcamp (40 Hours)
  • Statistics for Data Science and Business Analysis (10 Hours)
2017 and before
  • Evaluation, Impact Assessment and STATA – CIDE-CLEAR (30 Hours)
  • Principles of Microeconometrics with STATA – AEFE, UNAM (30 Hours)
  • Diploma in Investment Analysis and Administration – IMECAF (174 Hours)