This repository contains a portfolio of my work on my self-directed training on data science using Python. Since May 2019, I have been enrolled at DataCamp in order to gain hands-on experience on Data Science methologies using Python and SQL.
This track includes learning on how Python allows us to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher. Through interactive exercises, I have gotten hands-on with some of the most popular Python libraries, including pandas, NumPy, Matplotlib, and many more. I have worked with real-world datasets to learn the statistical and machine learning techniques we need to train decision trees and use natural language processing (NLP).
Data Scientist with Python (60 hours, completed)
Python Programmer (52 hours, completed)
Data Analyst with SQL Server (45 hours, In progress)
Machine Learning Scientist with Python (93 hours, In progress)
In the following different projects are organized by technologies used: ==========================