why Data Science for career | will it worth in 2020 ?

Why Choose Data Science for career in 2020
will it worth?
You are living in a world of huge and big data.Data Science has become a revolutionary technology that everyone seems to talk about. Data Science has become a revolutionary technology that everyone seems to talk about.
Data Science has become a revolutionary technology that everyone seems to talk about. Data Science is a buzzword with very few people knowing about the technology in its true sense. While many people wish to become Data Scientists, it is essential to weigh the pros and cons of data science.
Data Science is the study of data. It is about extracting, analyzing, visualizing, managing and storing data to create insights. T
hese insights help the companies to make powerful data-driven decisions.It is a multidisciplinary field that has its roots in statistics, math and computer science. It is one of the most highly sought after jobs due to the abundance of data science position.
Pros and Cons of Data Science.
Advantages of Data Science
1. It’s in Demand
Data Science is greatly in demand. Prospective job seekers have numerous opportunities. It is the fastest growing job and is predicted to create 11.5 million jobs by 2026. This makes Data Science a highly employable job sector.

2. Abundance of Positions
There are very few people who have the required skill-set to become a complete Data Scientist. This makes Data Science less saturated as compared with other IT sectors. Therefore, Data Science is a vastly abundant field and has a lot of opportunities. The field of Data Science is high in demand but low in supply of Data Scientists.

3. A Highly Paid Career
Data Science is one of the most highly paid jobs. According to Reports, Data Scientists make an average of 30-40 lac per year.

4. Data Science is Versatile
There are numerous applications of Data Science. It is widely used in health-care, banking, consultancy services, and e-commerce industries. Data Science is a very versatile field. Therefore, you will have the opportunity to work in various fields.

5. Data Science Makes Data Better
Companies require skilled Data Scientists to process and analyze their data. They not only analyze the data but also improve its quality. Therefore, Data Science deals with enriching data and making it better for their company.

6. Data Scientists are Highly Prestigious
Data Scientists allow companies to make smarter business decisions. Companies rely on Data Scientists and use their expertise to provide better results to their clients. This gives Data Scientists an important position in the company.

7. Data Science Makes Products Smarter
Recommendation Systems used by e-commerce websites provide personalized insights to users based on their historical purchases. This has enabled computers to understand human-behavior and make data-driven decisions.

8. Data Science can Save Lives
Healthcare sector has been greatly improved because of Data Science. With the advent of machine learning, it has been made easier to detect early-stage tumors. Also, many other health-care industries are using Data Science to help their clients.

b. Disadvantages of Data Science
1. Mastering Data Science is near to impossible
Being a mixture of many fields, like Statistics, Computer Science and Mathematics. It is far from possible to master each field.

2. A large Amount of Domain Knowledge Required
A health-care industry working on an analysis of genomic sequences will require a suitable employee with some knowledge of genetics and molecular biology. However, it becomes difficult for a Data Scientist from a different background to acquire specific domain knowledge. This also makes it difficult to migrate from one industry to another.

3. Arbitrary Data May Yield Unexpected Results
A Data Scientist analyzes the data and makes careful predictions. Many times, the data provided is arbitrary and does not yield expected results. This can also fail due to weak management and poor utilization of resources.

Sectors in which Data Science jobs will be created by 2020 in India
Aviation and airlines companies use data for pricing, route optimization, and preventive maintenance. This by 2020 will create 4500 new jobs.

Data Science, ML, and AI are used to improve farm output, forecasting, and pricing. This will create 5500 new jobs in Agriculture by 2020.

Analysis of complex data of clinical applications will create 15000 jobs in the field of Healthcare by 2020.

Machine Learning, Deep Learning, IoT and AI are meshed up to aid in self-driving. Therefore, Driverless Transportation will create 7000 new jobs by 2020.

The scope in the field of Data Science opens up a treasure trove of jobs and innovation opportunities by 2020 and beyond. The time is right time for you to learn Data Science skills and join the band of elite Data Scientists.

checkout top 10 Programming language to learn in 2020
https://youtu.be/1gqLGH6_YAE

write us at [email protected]