Top Skills To Upscale Your Career In Data Science

 

Data Science is one of the most progressive technologies used by a range of industries and businesses. Due to its wide adoption, companies seek data science professionals to help them manage their ever-growing business data.

But there is a shortage of accomplished data professionals in the industry familiar with the newest tools and technologies. A data science bootcamp can help you learn data science from scratch and acquire the skills that’ll make you employable.

Read on to know the top in-demand skills you must learn to upskill your data science career in 2022.

Data Science Skills You Must Have In 2020

Before you attempt to make a mark in the data science industry, you must learn the skills required for any data science role. By possessing the right skills, you can make a good start and progress in your career. Let’s look at these skills in detail.

Python

More than 66 percent of data scientists use Python, according to a recent survey. This simple, scalable, and feature-rich open-source programming language is a perfect tool for performing multiple operations in data science, including data extraction, web scraping, data visualization, complex computations, and more. A data science track is incomplete without Python.

R

R is another popular programming language widely used by data scientists and statisticians. Developed in the 90s, R is a powerful language for extracting figures from a large chunk of data and performing data analysis. Multiple industries use R for data analytics, visualization, statistical modeling, and machine learning.

Databases

Knowledge of databases is essential as data science involves dealing with huge amounts of data extracted from multiple online resources. NoSQL is a column-oriented database, while RDBMS is a row-oriented database. Both the databases are suitable for analyzing different kinds of data and for different purposes.

Data Visualisation

The better you are equipped with data visualization skills, the clearer you will be able to communicate the analytical insights. Data visualization is a key process in data analysis as this is what helps the layman understand the insights from the data. If you have good data visualization skills, you will be able to pass on the information and aid in decision-making.

Machine Learning

Machine Learning is not an essential skill for all data science professionals, but its knowledge can take your career to new heights. Knowledge of Machine learning algorithms is advantageous for organizations as it helps automate the data analysis process and make predictions without much human intervention.

Deep Learning

Deep learning skills can help data scientists upscale their careers. Deep learning comes under machine learning and is used for robotics, speech recognition, NLP (Natural Language Processing), image analysis, etc. Deep learning algorithms help draw conclusions and make predictions, which is useful in making smarter decisions.

Tableau

Knowledge of Tableau gives you an edge as it simplifies the process of creating dashboards. It supports a variety of data sources, which offers flexibility and helps deliver useful insights. Tableau also gives the flexibility to add data models in R or Python and execute complex calculations.

Statistics

Statistics is critical to implementing robust ML algorithms that can churn out meaningful insights from varied data sets. Data scientists need good statistical skills for better data sorting and analysis. The success outcome for courses that teach statistics is better than those which don’t.

Artificial intelligence ( AI)

Artificial intelligence is an advanced skill that can help data scientists automate data analytics systems and make near-accurate forecasts. With the help of AI, Data professionals can extract real-time data insights. That’s why having this skill is desired by employers. 

Conclusion

To conclude, all these skills will help you move up in your data science career. Being a multifaceted career, having more than one skill will help you perform a data scientist’s role confidently.

Want to upskill yourself with relevant data science skills? Join SynergisticIT data science track. This comprehensive training program will help you get familiar with Python, data science, machine learning, and artificial intelligence. Contact the SynergisticIT team for more details.