Published
01

Bangla R Programming

Easier to learn R programming in Bangla language for data analysis and visualization.

A comprehensive guide to learning R programming in Bangla, covering data manipulation, analysis, and visualization with practical examples and exercises.

40 Chapters ~60 Hours Beginner to Advanced
Statistics Probability ML Basics Visualization
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Published
02

Data Science Mastery

From Fundamentals to Professional Practice

A comprehensive journey through the world of data science, covering statistics, probability, machine learning fundamentals, and real-world applications.

45 Chapters ~60 Hours Beginner to Advanced
Statistics Probability ML Basics Visualization
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Coming Soon
03

Python for Data Science

NumPy, Pandas, and Scientific Computing

Master Python's data science ecosystem with hands-on examples covering data manipulation, analysis, and visualization using industry-standard libraries.

40 Chapters ~50 Hours Intermediate
Python NumPy Pandas Matplotlib
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04

R for Data Analysis

Statistical Computing and Graphics

Explore R's powerful statistical capabilities, from data wrangling with tidyverse to advanced statistical modeling and beautiful visualizations with ggplot2.

35 Chapters ~45 Hours Intermediate
R Programming Tidyverse ggplot2 Statistics
Coming Soon
05

Machine Learning Approaches

From Theory to Production

Deep dive into machine learning algorithms, neural networks, and deployment strategies. Build production-ready models with real-world datasets and best practices.

50 Chapters ~70 Hours Advanced
Deep Learning Neural Networks TensorFlow Deployment