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Trending Technologies and careers in 2018

Data Science:

Data science is a combination of “statistical unification, analysing the data, data science with python and their connected methods” to “understand and analyze actual phenomena” with information.It employs techniques and theories drawn from several fields inside the context of arithmetic, statistics, IP, and computing.


  • There are 215,000 job openings in data Science (Source:Indeed.com)
  • There are presently 31,000 openings for Statistician positions within the USA (LinkedIn), giving a median regular payment of $77,000 (Glassdoor)
  • In the field of Business intelligence, there are around 14,000 openings within the USA (LinkedIn) at a $88,000 base regular payment
  • Careers embody data scientist, data engineer, data analyst, statistician, information manager, information creator, business analyst
  • Data scientist is considered the best  job in America for 2017, with a median base regular payment of $110,000. (Source: Glassdoor)


Block Chain:

Blockchain is a technology where each and  every transaction is digitally signed to create its credibleness and integrity — and it’s poised to create massive waves during a wide selection of business use cases.

A blockchain is that the structure of knowledge that represents a monetary accounting, or a record of a transaction. every action is digitally signed to create certain its credibleness which nobody tampers with it, that the ledger itself and therefore the existing transactions inside it are assumed to be of high integrity.


  • The average regular payment for “blockchain developer” ranges from $84,267 p.a. for Application Developer to $111,366 p.a. for Full Stack Developer.
  • Throughout 2017, the task market within the blockchain business has seen tremendous growth. the demand for blockchain professionals has skyrocketed!
  • on Indeed.com the quantity of blockchain jobs inflated by 207%.

Machine Learning:

Machine learning is associate application of AI (AI) that has systems the flexibility to mechanically learn and improve from expertise while not being expressly programmed. Machine learning focuses on the event of system programs which will access information and use it to learn for themselves. The first aim is to permit the computers learn mechanically while not human intervention or help and modify actions consequently. Salary of a data scientist or for any profile contains a high variance.machine learning is a part of data science and a data scientist having the talents of machine learning earns around 786,123 LPA

Cyber Security:

Cybersecurity refers to a group of techniques to safeguard the integrity of networks, programs and information from attack, unauthorized access.The main function of cyber security involves protecting data and systems from major cyberthreats security professionals have a well-deserved raise, in line with recent analysis.The “Robert Walters payment Survey 2018” predicted that salaries for cybersecurity jobs around the world will rise by seven-membered in 2018. in addition, the achievement firm countable that each one IT roles will see a median increase of 2. As demand for practiced technology professionals can increase and so the talent gap continues to grow, organizations have highlighted these increasingly money making salaries.


Business Intelligence:

Business Intelligence is the  techniques of transforming the information into purposeful and helpful data for Business analysis. BI is creating a lot of scope in the technology field as it involves the analysis of data.And now a days data is increasing in an uncontrolled manner. The average salary of a BI analyst ranges from 480000 to 720000 per annum based on experience.

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