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Data science is not a narrow field as it includes a number of sub-divisions, such as artificial intelligence, deep learning, machine learning, predictive analytics, data visualization, transformation, exploration, and preparation, just to name a few. And then there are different levels of competency. If you want to decide if data science is for you, you are on the right page. By answering a few important questions, you can make this decision. Read on to find out more. 2. What does a Data Scientist do? An experienced data scientist uses the available data to make insightful conclusions. Based on these conclusions, important decisions are made in large organizations and institutions. The roles of these professionals include data analysis, data visualization, data transformation, and data collection. Apart from this, they also offer their recommendations on the actions that can be implemented on the basis of the data findings. Also, these professionals work in a number of sectors lik...

In today's world, " data is the new oil ." As such, anything related is receiving huge positive responses and outreach globally. Among these, data science has become unparalleled when compared to similar aspects of its field. Because of that, various job openings and opportunities have opened for scientists, analysts, Business Intelligence (BI) analysts and developers, analytics managers, statisticians, etc. Other such professions include architect, infrastructure architect, machine learning engineering, applications architect, machine learning scientist, and enterprise architect. Prerequisites for taking a Data Science Course: Although it is possible for anyone to take a specialization or certification data science course, you must fulfill specific requirements to ensure the comprehension and smooth uptake of the subject. Therefore, a few rudimentary prerequisites include: Probability analysis and computation Descriptive and inferential statistics Linear algebra, ca...