Six top skills that you should acquire in 2019
Devashish Chakravarty | TOI Contributor | Mar 25, 2019, 11:52 ISTHighlights
- Some of the basic skills include knowing data in your domain, database handling and querying, including SQL, data visualisation and tools to convert data into charts
- Advanced skills include R programming for data science, Python for coding and Hadoop for big data

NEW DELHI: If you want to stay relevant at work in the coming years, make sure you learn some of these skills:
Learn to handle data
The base skills to chase are knowing data in your domain, database handling and querying, including SQL, data visualisation and tools to convert data into charts. Advanced skills include R programming for data science, Python for coding and Hadoop for big data.
Full stack in tech
There is a growing demand for the fullstack development skill set, which is the ability to develop tech both on the front-end/client side and back-end/server side. As you can’t learn all, select combinations like MEAN or LAMP stack.
Customer success
To achieve upsell and repeat sales, there’s need for customer success managers, who focus on customer usage of product and support for challenges. Employability is high for people with social skills, communication ability and specific product knowledge.
Sales skills
Often undervalued, good salespeople are always in demand. The skills include relationship building and communication skills, time management, product knowledge and demonstration skills, and negotiations.
Tech advisory
Firms need technical support in the form of system and application analysts, and technical advisers to understand problems, solve errors, design solutions, etc. Relevant skills include experience in operating systems, languages and databases like Java, Unix, etc.
Machine learning
A firm uses data to profit through machine learning (ML) skills. It includes data science skills like R/Python, data modelling and validation techniques, and implementing machine learning libraries and algorithms.
Learn to handle data
The base skills to chase are knowing data in your domain, database handling and querying, including SQL, data visualisation and tools to convert data into charts. Advanced skills include R programming for data science, Python for coding and Hadoop for big data.
Full stack in tech
There is a growing demand for the fullstack development skill set, which is the ability to develop tech both on the front-end/client side and back-end/server side. As you can’t learn all, select combinations like MEAN or LAMP stack.
Customer success
To achieve upsell and repeat sales, there’s need for customer success managers, who focus on customer usage of product and support for challenges. Employability is high for people with social skills, communication ability and specific product knowledge.
Sales skills
Often undervalued, good salespeople are always in demand. The skills include relationship building and communication skills, time management, product knowledge and demonstration skills, and negotiations.
Tech advisory
Firms need technical support in the form of system and application analysts, and technical advisers to understand problems, solve errors, design solutions, etc. Relevant skills include experience in operating systems, languages and databases like Java, Unix, etc.
Machine learning
A firm uses data to profit through machine learning (ML) skills. It includes data science skills like R/Python, data modelling and validation techniques, and implementing machine learning libraries and algorithms.
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