Data science: THE GROWING FIELD

Data science
Data science

Right now in every search engines we can see Data science as the most demanding field or career in the world.In the era of ai,this sector is must to build ai.As a result,various universities from different countries not only offering postgraduate course but also undergraduate course for Data science.

What is Data science:

Data science is a field which combines statistics,math and coding.However,it is distinct from computer science.Tha main purpose is to arrange raw datas.It helps a person to know:

  • What customers want
  • How a person can improve his business strategy
  • About the upcoming trend
  • Lastly about the stock products

The main knowledge that is must to improve in this growing field is machine learning which means a part of Artificial Intelligence(AI) that uses data-driven algorithms for identifying patterns and make prediction.

Data science behind AI:

Both Data science and AI are closely related with each other. AI is a type of technology that enables computers and machines to recognize learning,problem-solving,reasoning etc.Morever,today we are using ai in our daily life.from students to workers all are using ai and knowing various things.But,have we ever wanted to know how this ai works? Behind ai big data is responsible..when we search something in ai it started to connect all the datas together that are hidden in this technology.

Additionally,if we take ai driven car as an example everything will be clarified.When ai driven car move it can predict how much speed is needed or what type of rule it needs to be followed as it is already saved in its mind as data.

Ethics in Data science:

There are some ethics which need to be followed in Data science.In our phones or computers there are images,videos,privacy which need data.As a result,we can clearly say that data is really important and if someone uses our datas they can do lots of harm to our privacy and security.From the recent news,about 328.77 terabytes datas are generated everyday where our datas are also included.Sometimes,when we search something to buy we see that social medias always shpw these types of products because of the knowledge of datas.However,Data scientists can play significant rules by gathering applied knowledge,learning and also by accountability,transparency most importantly being honest.

Some countries have provided strict laws to secure everyon’s data.lastly,companies also should take necessary steps to secure people’s privacy.

Difference between Data science(DS) and Business intelligence(BI):

The main differences is DS can predict future means what can be happened if…but business intelligence focus on what is happening in present it cant predict the future.Both helps to anaylice deals but in different ways.In Data science, Machine learning,coding,statistics are necessary where in business intelligence these are not mandatory.The method behind DS is science where in BI it is only analysis.

Data science focus on organized or unorganized datas but business intelligence focus on only organized datas.however,both the flexibility and demand are higher in DS compared to BI.Also,the complexity is higher in DS but less in business intelligence.

Job demand:

Data science
Data science

With the increasing of AI Data science jobs are also increasing.Indeed,from the recent analysis of statistics it is confirmed that about 34% employment will be increased within the year of 2024 to 2034.It means jobs related to this career will be in high demanding in future.

This field provides large amount of money even for the freshers.USA,UK,INDIA,NETHERLANDS high demand for this.Furthermore,the annual average  salary is about $128,856 which is higher compared to other sectors.

Anyone who has Bachler or masters in this sector can apply for jobs like Artificial Intelligence Engineer,Machine Learning Engineer,Data architect,analyst and Scientists,Business intelligence etc.

Data science in cloud computing:

Cloud computing is kind of IT service provider that provides database,platforms,networks and more to other companies with a fixed amount.However,in cloud computing this sector plays an important rule for the small companies.Small companies need datas to continue their work but without cloud computing it is very difficult for them.The reason is datas are so expensive, so if the companies want small amount of datas they can use cloud computing .

Likewise,the don’t need to hire data scientists specifically.In cloud computing services data scientists always provide datas.These scientists or analysts are hire by the ones who control cloud computing services.

 

Courses available for data science:

Besides msc and bsc courses there are also some online courses regarding this field from various reputed universities.The first data science course was launch by Colombia University .Gradually,Harvard,MIT and more universities added the course combining their math and cse fields.

 Besides,some top platforms like Harvard,MIT,IBM,GOOGLE are providing online courses,These platforms also give certificates at the end of their course.Their main topics are SQL,MACHINE LEARNING,PYTHON and DATA VISUALIZATION.Anyone can learn the course for free.

It growth has significantly increased after the year of 2020.This is the field which can never be replaced by ai or other technical things.

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