What is a Data Scientist?
Data scientists are professionals who collect, analyze and interpret large quantities of data. Data scientist is a combination of many traditional technical roles such as scientist, mathematician, and statistician.
Data Scientist Skills
As with most career paths, the higher your level of expertise, the more successful you will be, whatever your job, Data Scientists will need certain skills.
Statistics and Math:
Wikipedia defines statistics as "the study of the collection and analysis of data." It shouldn't surprise that data scientists must be familiar with statistics.
Analytics and Modeling:
An analytical mind is another important advantage for data scientists. To make sense of large quantities of data and to extract insights from it, you must be able to analyze the data. You will need to have the curiosity to discover new possibilities. However, analytical skills are required to analyze the data and extract useful information. Analytical skills include creating predictive models, critical thinking, and data mining.
Machine Learning and AI:
These skills are highly desirable, and data scientists will benefit greatly from their knowledge of algorithms of ML/Ai about data science, particularly in predictive analysis. These topics are hot in 2019 and will continue to advance in the coming years. This will allow you to explore new horizons by staying on top of it and being informed about their progress.
Programming:
This is a crucial skill for Data Scientist jobs. Python is the most popular language for programming Data Science. You should also be familiar with R, a popular programming language.
Data Visualization:
Data visualization is the visual representation of data. It is an integral part of the data life cycle. It is essential to have hands-on experience and knowledge to be a Data Scientist. Tableau, Kibana, and Google Charts are just a few of the visualization tools you should master.
Intellectual Curiosity:
Data scientists must be intellectually curious and drive to answer the questions presented by data. They also need to answer unanswered questions. Data science is about uncovering truths. Successful scientists won't settle for "just enough" but will continue to search for answers.
Communication:
Data scientists need to communicate well. Data scientists must understand the business and solve the problem. They also need to communicate data insights.
Business Acumen:
Data scientists must have a good understanding of business to use data effectively and make it meaningful for their employer. Understanding the goals and objectives of your business is essential. This will help you to understand how your work impacts them. You must also be able to create solutions to meet these goals that are cost-effective, simple to implement, and that ensure broad adoption.
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