In the rapidly evolving landscape of data-driven decision-making, being equipped with robust data analytics skills is crucial. The right course can provide you with the knowledge and expertise needed to thrive in this field. One such standout...
data analytics
#115 Problems on Basic Python | Python with Problem Solving
Python is a popular high-level programming language known for its simplicity and readability. We are going to explore a variety of programming problems in Python covering different topics such as variables, strings, typecasting, data types, loops,...
Top 20 Project Ideas: Exploring the Potential of Unsupervised Learning, K-means Cluster and Beyond
Unsupervised research techniques, such as K-means clustering, play a vital role in various domains, including data analysis, pattern recognition, image segmentation, customer segmentation, anomaly detection, and more. Understanding and harnessing...
AI & Data Science for Research: Top 20 Research or Project Ideas in NLP and RNNs
In this article, we will explore 20 research ideas in the field of Natural Language Processing (NLP). We will delve into various intriguing topics that can potentially advance the understanding and application of NLP techniques. These ideas...
AI & Data Science for Research: Top 20 Research or Project Ideas in Computer Vision & CNNs
In the following article, we will explore 20 intriguing research ideas in the field of computer vision. Our focus will be on the innovative concepts and areas of study that hold significant potential for advancement and practical application. Let's...
The Importance of Linear Algebra in Data Science, Machine Learning, and Deep Learning Optimization: A Comprehensive Guide
What is Linear Algebra in Mathematics? Linear algebra is a branch of mathematics that focuses on the study of vectors, vector spaces, and linear transformations. It deals with mathematical structures and operations involving linear equations,...
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,...
Become a Data Scientist: Professional Data Science Courses in Dhaka, Bangladesh
Do you believe becoming a Data Scientist or Machine Learning Engineer without a computer science (CS) degree is possible? While a CS degree can provide a strong foundation in programming and computer systems, it is not the only path to a career in...
Journey to Becoming a Data Analyst: Step-by-Step Guide, Examples, and Essential Tools
Who is a Data Analyst? A data analyst is a professional who collects, interprets, and analyzes large sets of data to uncover patterns, trends, and insights that can inform business decisions. Data analysts use various statistical and analytical...
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
3+ years of industry experience.
Senior Business Intelligence Analyst.
Bachelor in Statistics, Islamic University.

Applied Statistics for Data Scientists with R
Md. Ahsanul Islam
Analysis Executive at Kantar Market Research
M.Sc. in Statistics at University of Chittagong

Full Stack Data Science, Machine Learning & AI
Kawchar Husain
Machine Learning Engineer at Kite Games Studio
Master at Kaggle & ICPC Asia-West Finalist
Bachelor in CSE at SUST, Sylhet

Agentic AI with LLMs
Md. Asif Iqbal Fahim
Doctoral Researcher (GenAI-LLM) at UCD Dublin
Lead Generative AI Engineer at InfinitiBit GmbH

Backend API Development with Python
Mr. Abu Noman Basar
Backend Developer at Join Venture AI
ex-Software Engineer (Python), eAppair Ltd.









