Tips to become a Data Science Professional

The Data Science jobs require domain specific skills and knowledge to perform the task. The skill sets vary from industry to industry, ranging from healthcare, banking, Ecommerce, insurance, logistics etc , The jobs in data science that are likely to boom by the year 2025 are data analyst, data scientist, data engineers, machine learning specialists, deep learning specialists, and AI engineers. A blend of both technical and non-technical skills are required to make your career path a smooth going affair. Here are a some tips that can help you out in your career journey.
1 Understanding the basics: You need to know the basics of core subjects in mathematics, statistics and basic programming. With this basic foundation grows your building ie., Data Science.
2. Cleaning and Manipulation of data: Cleansing, preprocessing and manipulate data (ie., remove redundant and irrelevant data), before doing analysis.
3. Develop your skills : on BigData, Programming languages such as Python or R, libraries, tools, Data Visualization Techniques, statistical model to make inference.
4. Build a Strong Portfolio : to showcase your skills to potential employers, which reflects on your exposure to the projects you have done.
5. Networking with seniors and other stake holders: Connect with other data scientists, seniors, managers. professionals from other departments, and other stakeholders, who are people with shared goals and interest, and makes you stay updated and connected with latest trends.
6. Develop your Analytical Skills and Critical Thinking : You can develop this skills by Testing a few Hypotheses and making some challenging Assumptions to it.
7. Develop your communication skills (both verbal and written): Communicate findings clearly to stakeholders and other non-technical persons.
8. Ensure Data Privacy : As you are dealing with sensitive data, you will need to ensure privacy of data.

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