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Data analytics is the science of examining raw data to uncover patterns, draw conclusions, and support decision-making. It involves applying statistical and computational techniques to transform data into meaningful insights. Data analytics plays a crucial role in industries ranging from finance and healthcare to marketing and technology.
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Here are some common data analytics interview questions with sample answers to help you prepare:
Data analytics is the process of examining raw data to identify patterns, trends, and insights. It involves techniques like cleaning, analyzing, and interpreting data to support decision-making.
Data analytics focuses on analyzing existing data to find insights, while data science involves creating models, algorithms, and tools to predict and automate outcomes using advanced techniques like machine learning.
I enjoy using Tableau and Power BI for their ease of use and interactivity. For more customizable visualizations, I use Matplotlib and Seaborn in Python.
A/B testing compares two versions of a product, webpage, or feature to determine which performs better. It involves splitting users into groups and measuring the impact of changes using statistical analysis.
I follow industry blogs, attend webinars, participate in data science communities, and take online courses on platforms like Coursera or LinkedIn Learning.
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