Data exploration has always been an exciting avenue for me and I happened to be one of the many students who fancy analytics as something that can bring about immense change in our daily lives.
I was introduced to the field in January this year when it came up as an elective in my college. Ever since then, I've appreciated the value data can bring to decision making.
I started off by doing online courses that were either free to access or available at a small cost, all of which were very focused on certain topics of the Analytics field. It was strenuous and confusing to find which topic would suit my needs and how it would help me succeed in the field.
Searching for my next online course, I stumbled upon Udacity's Data Analyst Nanodegree which seemed genuine at the first look as it was co-created with some brands that are industry leaders in their fields.
The Nanodegree provided the complete learning path and structure that every student would need during this AI and Data Science boom. The courses were lined up and ordered in such a way that it would help anyone who is new to the field to understand which field to explore first. The projects are tailored to industry needs so you never feel that you're learning something that might go to waste.
The skills I learned during the Nanodegree helped me to be the runner-up of Techgig Code Gladiators Hackathon, Data Science Theme which now holds the Guinness World Record for being the largest code competition in the world and rank 3rd at the Synechron Hackathon of Data Science.
They also helped me publish the research paper that was recently presented at the IEEE Conference and got me interviews with extremely well renowned Analytics companies in the world today.
My research was based on deciding metrics to detect false news and influencers on Twitter using text clustering and topic modeling algorithms.
Another one of my projects includes a comprehensive study on Red Wine qualities to understand which factors influenced wine quality.
I would encourage students who are new to the field to be a part of this learning curve as the structure and learning provided here is unparalleled and would definitely be influential in your aspiring career as a Data Analyst.
The article was originally published here