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...
Statistics
Statistics for Data Scientists & Data Analysts
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...
Exploring the Importance of Statistics in Data Science and its Impact on Data Analysis, Decision Making, and Predictive Modeling
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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Learn without limits from affordable data science courses & Grab your dream job.

Become a Python Developer
Md. Azizul Hakim
Lecturer, Daffodil International University
Bachelor in CSE at KUET, Khulna
Email: azizul@aiquest.org

Data Analysis Specialization
Zarin Hasan
3+ years of industry experience.
Senior Business Intelligence Analyst.
Bachelor in Statistics, Islamic University.

Modern Data Engineering Essentials
KH. Asif Anwar
10 years+ Industry Expert
Sr. Software Engineer – Data Engineering & Analytics at IQVIA

Data Science & Machine Learning with Python
Rashedul Alam Shakil
Founder, aiQuest Intelligence & Study Mart
Employed in a Big Tech Company in Germany
M. Sc. in Data Science at FAU Germany

Agentic AI with LLMs
Md. Asif Iqbal Fahim
AI Engineer at InfinitiBit GmbH
Former Machine Learning Engineer
Kaggle Competition Expert (x2)

Backend API Development with Python
Mr. Abu Noman Basar
Software Engineer (Python), eAppair Ltd.
Django Trainer at STUDY MART