Finding the right course and data science centre could be challenging if you are a fresher and have just fallen for this subject. Many students are often confused with the data science course syllabus. Data science is all about simplifying, analysing, and structuring complex data. However, just by learning the course won’t do much unless you know the dos and don’ts of data science.
In this article, we have covered some of the most referred dos and don’ts of data science that every aspiring data scientist must be aware of. Once you are thorough with the dos and don’ts of data science you will be able to take the right decisions beneficial for self, industry, and the environment.
Dos and Don’ts of Data Science:
Purpose of hiring data scientist:
Do:
Always check the reason why is there a need for data scientist. How would you do that? The solution is simple; identify the data and concerns related to the complexities of data. Once you have the answer to these, you may approach the centre to explain your requirement.
Don’t:
Do not jump to the conclusion of hiring a data scientist just by looking at others. Maybe your data is not as complex as theirs. You may or may not have the need to hire the most experienced professional in data science.
Do:
Always be transparent in setting up your expectations. Unless you are open to them on your issues related to the data, a data scientist won’t be able to help you. He is the one who will help you design new ways to sort your complex data.
Don’t:
Don’t ever hide any issues with your data scientist. Only he can take you out from the mess. Data scientists carry immense knowledge and expertise to solve all your queries. They need to understand beforehand the kind of problems your company is involved in. So never hide from a data scientist.
Do:
Always assign a qualified professional only. Check if the person is knowledgeable and skilled enough to understand the issues underlying in your company. Unless he is experienced on coding, software, and other important skills required finishing the task, things will look the same as they are now.
Don’t:
Don’t hire anyone without any skills. If your company has issues that are unable to face the current competition, then you certainly need someone highly qualified. Only a qualified professional can help you sort the prolonged issues with your company’s data. He needs to carry that experience of a complete data science training in Bangalore.
