My Data Science and Machine learning Journey
For those who don't know, Data science is like being a detective who uses numbers and computers to solve mysteries. It involves collecting information, organizing it using special tools, and finding patterns within the data. With this knowledge, we can make predictions and solve problems. Data science helps us learn new things and make better decisions based on the information we have. It's like being a super detective unlocking the secrets hidden in the data.
Sounds really interesting isn't it? My eyes were sparkling when I first researched this field, let's hope the same happens with you after learning about my daily experiences
The course or resources I use are my personal preferences, yours could be different. I suggest you research many courses and pick the one YOU are most comfortable with. (I use Codecademy's Career Path subscription to learn, many free courses are also available on the internet)
It'll be a day-wise journey. I'll try to be consistent enough to post daily (It starts with Day 10 but every part of my journey from day 1 is covered)
Basically, I needed some front-end experience to start the course. I completed HTML and CSS basics to begin the course (which developed an interest in web development as well so I continued with advanced CSS)
Day 10: Completed the basic HTML needed, going toward CSS basics and learning about types of data in depth (pretty boring ngl, but necessary) CSS basics are completed and I have completed 4 basic projects with HTML and CSS. Pretty interesting ngl.
Data Science: Still those boring terminologies and data analyzing thingy going on, can't wait for the programming to begin ngl. These terminologies are just basic hints of how data works and how to organize data...
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