Skills required for Data Science Enthusiast

1. Skills required for Data Science Enthusiast Session 1

2. Skills required for Data Science Enthusiast If we have to pick a strong career option, then it has to be the one that holds a lot of prospects for the future. Undoubtedly data science fits in this criteria. Technology is the driving force behind other technologies; if you are planning to become a data science expert, this is the time to start your career. A number of online and offline platforms offer both online and offline data science certification programs. But merely opting for the best data science certification program is not going to give you the right set of benefits; you have to develop certain skills that give you an upper edge. In this blog, we are going to highlight 5 such skills that are going to make your career grow multiple folds.

3. Key skills to become an expert data scientist: If you are planning to become a data science expert, then you need to develop certain skills that are going to help you sustain in the long-run. We have divided these skills under two different categories: 1. Technical skills 2. Non-technical skills Here is a brief description of some of the important skills that you need t to develop to become an expert in the field of data science.

4. 1. Programming language- Before you go ahead and enrol for the data science program, you need to focus on developing programming skills. Learning about the programming language and using it will help you become proficient. The common programming language that you need to know is Python. In addition to data science, Python is also used in machine learning, artificial intelligence and others. 2. Machine Learning and Deep Learning – Another skill set that you need to acquire is knowledge about machine learning and deep learning. These technologies are a subset of artificial intelligence. Data scientists use various tools to clean up the data, extract the necessary information so that it becomes more useful for AI and allied fields

5. 3. Natural Language Processing and Cloud computing- NLP helps the computers and machines to work and reasons in the same way as humans would. A data scientist can make use of this technology to make their work more human-like. Technologies like Alexa, and Siri and other voice assistance commands work on this platform. 4. Data visualization- This is one of the key aspects of data analysis. Merle assessment of the information stored in the aggregated data won't be enough. It has to be represented in the right manner, which makes it easy for others to interpret it and draw a conclusion for it. For better communication of their results and work, data scientists need to know about data visualization skills.

6. 5. Better communication skill- In the beginning, we talked about the non-technical skills of a data scientist; well, good communication is one of them. Data scientists should be able to communicate their ideas in a better way. Even a non-technical person should be able to understand what they want to convey. In addition to this, a data scientist should have a solution-driven approach. They must have good presentation skills as well. These are some of the key skills that one needs to develop to become a good data scientist. If you also want to enrol for the data science certification program, this is the time to enrol for the data science certification program with the Global Tech Council.