Data science skill is the ability of an individual to use the avalanche of data streaming into an organization in a creative manner to generate value for business. It refers to one’s ability to surface the hidden insights by understanding complex trends and behaviors in all that data in order to enable an organization and its personnel to make better business decisions.
Another such creative use could be the development of a data product, which is basically just a technical asset that processes the data provided in the form of input and generates results algorithmically.
Why is data science important
Data is becoming increasingly ubiquitous and cheap, making it easier for organizations to accumulate new data. The rate, however, with which they gather all such data, is usually much higher than their capacity to extract valuable insights from it. For this reason, every organization nowadays is attempting to attract workforce with good data science skills.
Whether you are a marketer who wants to create more dedicated ads and offer products tailored to the specific requirements of consumers, an owner of a superstore who wants to optimize his levels of inventory, or a finance professional in stock market who seeks to maximize his gains, you will not be able to achieve anything without having the data science skills for using all available and relevant data effectively.
How to improve data science skills
Following are some skills you need to work upon in order to improve your data science skills:
- Technical skills. Being highly educated is the ultimate secret to being a successful data scientist because only a strong educational background is what shall equip you with the depth of knowledge required for better analytics. Education in the field of computer science, especially, is capable of doing so by providing in-depth knowledge of necessary analytical tools.
- Business acumen. Improving your data science skills requires you to have a deep understanding of the industry you work in and the problems that your company requires you to solve. You must also be intellectually curious to gather data for all the critical problems and then leverage it in the best possible manner.
- Communication skills. As important as it is to have the ability to understand the technicalities, a data scientist must be able to translate all such technical findings into simple and non-technical language. This makes good written as well as verbal communication skills a necessity for the improvement of one’s data science skills. Without an individual’s ability to communicate effectively, he may be able to make sense out of all the data that inundates his surroundings but will never be able to convey those insights to the non-technical teams such as the sales or marketing teams.