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 for data science
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,...
Course Modules
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
Senior BI Analyst, Apple Gadgets Ltd
Email: zarin@aiquest.org
Become a Big Data Engineer
A.K.M. Alfaz Uddin
Enterprise Data Engineering Lead Engineer at Banglalink Digital Communications Ltd.
Data Science and Machine Learning with Python
Mr. Rashedul Alam Shakil
Founder, aiQuest Intelligence
M. Sc. in Data Science (Major AI)
FAU Erlangen-Nuremberg, Germany
Deep Learning & Generative AI
Md. Asif Iqbal Fahim
Machine Learning Engineer at
IdeaScale Bangladesh Ltd
Kaggle Competition Expert (x2)
Become a Django Developer
Mr. Abu Noman
eAppair Limited