I initially embarked on a general Python programming course with
the aim of learning techniques for gathering, manipulating, and
analyzing stock market data. While exploring trading ideas, I
frequently encountered references to market statistics, prompting
a desire to verify and explore these figures myself. Throughout the
course, I found myself increasingly captivated by the vast
possibilities afforded by software development.
Following the Python course, I sought to diversify my skills and
delve into different programming applications. Continuing along
the path of data analysis, I pursued the Google Data Analytics
Certificate. This program equipped me with a solid foundation in
data analysis techniques and their application across diverse
contexts.
Shortly thereafter, I seized an opportunity to qualify for an IBM
Mainframe z/OS Apprenticeship through Franklin Apprenticeships by
completing a pre-apprenticeship program. This comprehensive
curriculum covered coursework in general computer science,
mainframe architecture, system programming, and professional
skills such as agile development.
Subsequently, I plunged into web development headfirst utilizing various learning resources and documentation, beginning
with HTML, CSS, and JavaScript. After completing several projects
and feeling confident in my web knowledge foundation, I progressed
to learning React and later adopted Next.js as my primary
framework.
