Data Scientist
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New answer posted
a week agoBeginner-Level 5
You have MBA in HR + Data Science course from DataMites
Here are 5 simple points to help you decide:
- Money & Growth: Data Scientist usually gets much higher salary and faster career growth
- Future Demand: Data Science jobs are growing very fast (AI, ML boom), HR jobs grow slowly
- Your MBA in HR: Very useful! You can become special People Analytics / HR Data Analyst. best of both worlds.
- Interest & Enjoyment: If you love numbers, coding & analysis → choose Data Scientist If you love people, culture & employee relations → choose HR Executive
- Best Choice for You: Most smart option right now = Start with Data Science / People Analytics (using
New answer posted
a month agoContributor-Level 10
Yes you can work as a data scientist after pursuing a course in Bioinformatics. Besides the core skills used by a data scientist, one thing to adapt to is the domain-specific terminology, concepts and certain processes exclusive to biological data.
The catch is - you'll still be dealing with data. You'll be studying the data and exemplifying findings just as you would in any other field. Biological data might seem comparatively sensitive and complex.
New answer posted
a month agoContributor-Level 7
Think of Data Science as a whole house. Data Analytics is just one room inside it. Analytics looks at past data to solve current problems. On the other hand, Data Science uses complex tools to predict the future.
New answer posted
a month agoNew answer posted
3 months agoBeginner-Level 5
BSc in Data Science covers statistics, machine learning, natural language processing, deep learning, generative AI in span of 3 years helps students to get detail knowledge as compared to specialisation in data Science as it is of 6 months which is less time to learn the concepts.
New answer posted
6 months agoContributor-Level 10
A Master degree in Data Science, Computer Science, Statistics, or Mathematics will be valuable in obtaining profound knowledge and development of the career to become a data scientist. Alternative routes to faster access would be professional certificates (reputable certificate programs, such as IBM, Google, Coursera) or specialised bootcamps, which focus on a specific set of more practical skills. Whichever course you take, good background abilities are very important in Python / R, SQL, statistics, machine learning and data interpretation/visualization.
New answer posted
8 months agoContributor-Level 10
The Data scientists clean data to fix the error and use the final dataset for analysis. They are required to analyse unstructured data and help businesses take decision on the basis of these recommendation. They use their critical thinking to determine which data is suitable for a particular project.
New answer posted
11 months agoContributor-Level 10
Embarking on a career as a data scientist after completing your 12th grade involves a structured educational and skill-building pathway. Here's a comprehensive guide to help you navigate this journey:
Focus on Relevant Subjects in 12th Grade
Mathematics and Science: Develop a strong foundation in mathematics, particularly in areas like algebra, calculus, and statistics. Proficiency in these subjects is crucial for data analysis and algorithm development.
Computer Science: If available, take computer Science courses to familiarize yourself with basic programming concepts and problem-solving techniques.
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