Data science
Let's talk about data science! In this post you will read what is Data science, where it is used, what is the top one programming language for data science and why, and finally, what are 6 data science components.
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So, what is it? And where it is used?
Data science, also known as date-driven science, blends various fields with the help of mathematical calculation to predict future behaviour’s, patterns and take out useful information (Banton, 2021).
Data science is very useful and becoming very popular to use in businesses, as you can measure and track costumer behaviour towards your service or product and study the market. As well, as it can help you in reqruiting the best fit for your company, find target audience, help understand your product/service better. Data science is good to include as a tool towards decision-making processes. However, misused data can be very harmful to people, community, country, and that is one of the disadvantages of data science. (Benefits of data science, complete guide, 2021)
Top one Programming language in data science.
One of the most used programming languages in data science is Python. Characteristics that make it a foremost used tool are as follows:
1) Language is easy to learn and use.
2) It can combine different tools and offers unifying ground for different languages.
3) It is cross-platform, meaning it can run o many platforms, Windows, Linux, and Mac OS.
4) Uses minimum memory to run and has good memory management (Boschetti and Massaron, 2015).
I started to learn Python and found it easy to understand, code is clear and in small amounts, if you ask me, I strongly recommend Python language.
Data science components.
If you are considering learning data science you need to know about 6 necessary components in data science, and these are: big data, probability and statistics, data types, mathematics, machine learning and programming. (Bansal, 2020). (More about each component you can read in AnalitixLab website, look below for more details.) These are one of the things you need to know if you want to learn Data science.
I believe that data science will progress in the future and will be considered as must have, as it can save a lot of time and money for businesses.
References
Boschetti, A and Massaron, L. (2015) Python Data science essentials, Birmingham: Packt Publishing Limited.
Benefits of Data Science, Complete guide (2021) Available at:<https://www.abetterlogic.com/benefits-of-data-science/> (Accessed:12 October 2022).
Bansal, S. (2020) How to Learn Data Science and What Skills to Master from Scratch?. Available at: <https://www.analytixlabs.co.in/blog/how-to-learn-data-science-from-scratch/> (Accessed:17 October 2022).
Banton, C. (2021) Inside Data Science and Its Applications. Available at: <https://www.investopedia.com/terms/d/data-science.asp> (Accessed:11 October 2022).
Useful information!
Data science components.
How to Learn Data Science and What Skills to Master from Scratch? (analytixlabs.co.in)