Three years ago, I had almost no experience with Data Science.
My background was from Electronics and Communications, where I worked mainly on Robotics projects. I enjoyed planning, building, and constructing unique robots.
However, I realized at one point in time that it would be super awesome if I could integrate Artificial Intelligence into my robotic projects to make them more innovative.
I wanted my robot to have features like face recognition, object detection, and speech translation, among various other unique entities and characteristics.
At this moment, Artificial Intelligence sparked my interest immensely, and I began my journey towards Data Science.
By Googling, I found out that the best resources to get started with Data Science was Programming with Python and dealing with mathematical concepts.
For me, Math was never a major issue as I always enjoyed it a lot. I also noticed that because of my background, I also fulfilled most of the essential Data Science requirements for math, which includes concepts of statistics, probability, and calculus.
Don’t Worry as I will mention some of the best free resources for learning math as well in the upcoming sections!
Programming, however, was not something that I had much experience with and had to practice quite a bit. I had worked a lot with Java in high school, so I knew some of the essentials of object-oriented programming.
The main objective for me was to learn Python and the basics of Data Science so that I could create innovative and unique real-world applications with the immense knowledge I have gained.
Long story short, I learned most of the essential requirements for Python programming in under one month and became quite proficient using it in about three months.
That is around the average time a complete beginner with no experience but a lot of interest would take to learn and grasp most of the necessary topics.
Data Science is a continuously developing and advancing field. I studied the subject and worked on numerous projects for the next couple of years.
I gained most of my knowledge from the free courses and resources I utilized during this time. I finally did an additional paid course to earn a certificate for my learnings.
However, the majority of time was spent with free resources, which are absolutely fantastic due to the amount of valuable information they provide.
In the next section, let us analyze and explore some of the best free valuable resources for learning Data Science!