Course Data Scientist vs Real-Time Data Scientist

Kanth Mentorship Show

Course Data Scientist: He/She cares more about statistics, python, machine learning, NLP, Deep Learning, e.t.c. they do it just they know all the above topics so they are doing it.

Real-Time Data Scientist: He/She cares more about value, more about adding impacting to business/process with the help of data. To deliver the impact they may use statistics, python, machine learning, deep learning, NLP.

Listen to this entire video and post me which Data Scientist you want to hire?
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Let's look into what companies are looking for from Machine Learning.

Machine Learning Job Requirement -1:Knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.

Machine Learning Job Requirement -2:

• Works to design and develop analytical/ data mining/ machine learning models as part of data science solutions.
• Gather, evaluate and document business requirements, translate to data science solution definition, and ability to implement the solution on a Big Data platform.
• Ability to design and build an end-to-end prototype data science solution to a business problem in any specific sector/ function.
• Ability to support and guide end-to-end model lifecycle management Create model documentation as per client/ regulatory standards

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I hope you gonna through above Job Descriptions, Once cross-check whether you have the confidence to work on every point mentioned from above JD's?? Do you have a clear understanding of the Data Scientist lifecycle and his role in the company? Or you are just thinking about Statistics, Python, Machine Learning and Accuracies can help you get a job as Data Scientist??

To speak in interviews, you must have a proven portfolio on Data Science Projects to Showcase in your resume as well as to speak damn confident in interviews.