Descriptive statistics, probability, and inferential statistics are three essential branches of statistics that help researchers and analysts understand and draw conclusions from data. Let's solve common 50 interview questions with each of these...
As a data scientist, understanding statistics is crucial as it forms the foundation of many data analysis techniques and machine learning algorithms. By mastering these statistical topics, data scientists can effectively analyze data, make informed...
Why are Statistics Important to Data Scientists? Statistics is indeed a crucial foundation for data scientists. It provides the necessary tools and techniques to analyze and interpret data, uncover patterns and insights, make informed decisions,...
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Lecturer, Daffodil International University
Bachelor in CSE at KUET, Khulna
Email: azizul@aiquest.org
3+ years of industry experience.
Senior Business Intelligence Analyst.
Bachelor in Statistics, Islamic University.
Analysis Executive at Kantar Market Research
M.Sc. in Statistics at University of Chittagong
Machine Learning Engineer at Kite Games Studio
Master at Kaggle & ICPC Asia-West Finalist
Bachelor in CSE at SUST, Sylhet
Backend Developer at Join Venture AI
ex-Software Engineer (Python), eAppair Ltd.