PART 1: Python Crash Course
Covering a hands-on, project-based book -> Python Crash Course by Eric Matthes, No Starch Press. The final project is a web application representing a customer service form, built by using Django framework.
Breaking the Ice with Titanic
This is my first kaggle submission and hands-on data science project based on kaggle's Titanic dataset. In summary, it's baseline is to predict the titanic survivors by applying the exploratory data analysis, data cleaning and machine learning techniques.
Getting First Impressions with Python
Covered Humble Data beginners workshop, which includes the basics of Python for Data Science. Exercises followed with instructions, organized in 5 Jupyter notebooks.
Defining Three Golden Pillars
To reach a goal, it is crucial to set it in a right way. In that sense, here are three pillars of data analysis, as guidelines for future blog posts.
Database Fundamentals with SQL
Covering SQL syntax and logic of relational databases, based on the MTA Microsoft's licenced course, including a certificate of achievement, as well as on Mosh Hamedani's SQL mastery course.
HTML and CSS as Besties
For further personal customization of Jekyll theme, I covered HTML and CSS foundations. Obviously, these two go hand in hand, HTML for adjusting structure and CSS for styling and formating.
Jekyll as a Magic Wand
Building a personal website with a Jekyll theme, a Ruby gem, based on HTML and CSS, Bootstrap and JavaSript libraries.
The site is hosted on GitHub and deployed with GitHub pages.
What a hello-world moment for a tech newbie!