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This question is about data scientist.
To get a job in data science requires having the right training and skills, real world experience, a strong work portfolio, and networking skills. Data Science job requirements are changing every day for every organization, for every line of business. The field is becoming more productionized, more business-oriented.
The most common path for learning data science is completing a bachelor's or master's degree program in data science, computer programing, statistics, or applied mathematics. However, that is not the only path. There are numerous online courses, bootcamps, and certifications, for example, that can help you expand your knowledge, develop new skills, and increase your hireability.
2022'a Top 8 Data Science Courses Certifications, according to learndatasci.com.
Data Science Specialization -- JHU @ Coursera
Introduction to Data Science -- Metis
Applied Data Science with Python Specialization -- UMich @ Coursera
Data Science MicroMasters -- UC San Diego @ edX
Dataquest
Statistics and Data Science MicroMasters -- MIT @ edX
CS109 Data Science -- Harvard
Python for Data Science and Machine Learning Bootcamp -- Udemy
Once you have a strong foundation in data science, the next step is to gain real-world experience. Data science internships, for example, asre a great way to expand your professional skill sets and learn about data science in the field.
If you are unable to find an internship position, consider creating your own data projects using real-world data.To really showcase your data science skills and visually display your practical knowledge of the field, consider conducting an original project based on data science and other related disciplines. Projects like these may include creating data models or algorithms.
Finally, connecting with professionals in the field can definitely help you in your data science job search. For example, networking with professionals can help you learn more about the industry, form relationships with professional data scientists may help you learn about employment opportunities. Consider joining professional data science organizations or clubs and attend workshops or conferences.

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