03-23-2021, 04:55 AM
Another interesting thread I missed somehow. I have started looking into Data Science since few years after I have started learning Python. It has become a big trend and today a good data science tech or a good data scientist can earn 100,000+ Annual salary in the USA. Because it has a seriously high demand.
Data Science is in simple terms extracting valuable information from raw data. Now if you have done Statistics as a subject in university or college then you won't feel anything new about this. That's pretty much how we define statistics too. People have been argued this for years. Personally, I think Data Science is just a modern way of doing traditional statistics.
I have started learning python to automate the process of gathering and sorting web traffic, SEO, and social media data. It's then I discovered data science which has new concepts of doing the same old statistical techniques faster and easier using computer science. I mean things like Data structures and algorithms. of course, none of these are new but just it has better ways to get these done.
Now some of its concepts have become subfields where you can find specialists of each of these. For example, Machine Learning, Data Mining, Data Visualization, Data Cleaning, Future Engineering, etc. This is a really interesting subject to anyone who work with information and data.
Data Science is in simple terms extracting valuable information from raw data. Now if you have done Statistics as a subject in university or college then you won't feel anything new about this. That's pretty much how we define statistics too. People have been argued this for years. Personally, I think Data Science is just a modern way of doing traditional statistics.
I have started learning python to automate the process of gathering and sorting web traffic, SEO, and social media data. It's then I discovered data science which has new concepts of doing the same old statistical techniques faster and easier using computer science. I mean things like Data structures and algorithms. of course, none of these are new but just it has better ways to get these done.
Now some of its concepts have become subfields where you can find specialists of each of these. For example, Machine Learning, Data Mining, Data Visualization, Data Cleaning, Future Engineering, etc. This is a really interesting subject to anyone who work with information and data.