Here we go with another buzzword, Data Science. The enigmatic field purely designed for Math geniuses, and is more of a conundrum to those who don't like dabbling with calculations. Before making these conclusions on this field, why not read through this article to gain a better view on it. Let's get started 🚀
Definition
According to Wikipedia, data science is an inter-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from many structural and unstructured data. Not minding these buzzwords, it can be simply referred to, as the study of data which involves developing methods of recording, storing, and analyzing data to effectively extract useful information.
The goal behind this field is to gain insights & knowledge from data, which could be structured or unstructured
It is related to Computer Science , but is a separate inter-disciplinary field. Computer Science involves creating programs and algorithms to record and process data. Data Science, on the other hand, covers any type of data analysis, which may, or may not use computers. This field is closely associated with the mathematical aspect of Statistics.
Demand
Everyone wonders why Data Science is in high demand, and to be honest, it is. This is evident due to the exponential rise of companies seeking for mavens in this field.
Now, to the question, " Why is it in demand?"
This due to the fact that modern organisations generate a huge amount of data on a daily basis. The application of Data Science would help in generating meaningful insights from them
The Field's Cycle
There are 5 steps involved. They include:
Capturing
Maintenance
Processing
Analysis
Communication
Who are the Mavens in The Juicy Field?
Wondering why I used the word maven , right 😅? Well, people who are proficient in this discipline, are a peculiar blend of mathematicians and computer scientists. Fascinating, right 😍?
Now, what roles do they play?
They can take a number of roles. This due to the fact that Data Science combines several disciplines. Roles in this field could be that of a:
- Data Scientist
- Business Analyst
- Data Architect
Tools & Languages Used
Thinking of diving straight into this field? Curious about the tools, languages, or technologies utilized? Well here are a few languages and technologies Data Scientists get their hands dirty with:
- Python
- R
- SQL
- Julia
- Scala
- Tensorflow
If you're looking into Data Science, or an established one, I'd recommend you read this detailed article 🤗
Conclusion
Data Science truly remains an attractive, tantalizing, and enticing field, since it's fueled by big data and AI, and having knowledge of it could prove to be helpful
Know someone who keeps asking a plethora of questions on this topic? Kindly do them a favour by sharing this article with them 😊
Here's the detailed version of this article on Medium
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