Learn Data Science & Machine Learning with Sadhan Verma Using Python & R
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Online Live Workshop (Google Meet)
Are You Ready for the Most Demanding Field of 2026?
Before we begin, I have a few questions for you:
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Q1. Are you a researcher? Or are you on the path to becoming one?
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Q2. Are you planning for higher studies at a renowned university in the developed world with a scholarship?
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Q3. Do you want to build yourself as an expert in Data Science and Machine Learning? Or are you looking to build a career in this sector?
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Q4. Have you been thinking for a long time about becoming proficient in Python and R?
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Q5. Are you unable to publish your research articles in high-impact journals because you don’t know or don’t use Python/R?
If so, your ultimate destination for trust is NBICT LAB—the best online institution for learning Data Science and Machine Learning in Bangla, proven by countless learners over the years.
We are launching the 9th Online Batch of Python & R, covering the most demanding topics in Data Science and Machine Learning for 2026 and beyond!
Starting from zero knowledge, this course will lead you step-by-step toward ultimate mastery of Data Science and Machine Learning. Led by the renowned Data Science instructor Sadhan Verma Sir, who is a well-known name among university faculty members across Bangladesh, this is one of the best courses available for Bangla speakers.
What’s Included in This Course?
1. Data Preprocessing and Data Cleaning Before performing final analysis, data preprocessing and cleaning are essential. Proceeding without these leads only to “flawed and erroneous” analysis. Therefore, at the very beginning of this course, you will be taught how to perform data preprocessing correctly.
2. Data Manipulation and Data Transformation To make data suitable for final analysis, manipulation and transformation are required; without them, your models will show results lacking reliable accuracy. In the second stage, you will be made proficient in topics like Log Transformation and Normalization.
3. Inferential Statistics and Hypothesis Testing Next comes Inferential Statistics and Hypothesis Testing. You might have been doing this with SPSS for a long time, but top-tier journals now prioritize analysis based on R and Python. In this section, you will learn several parametric and non-parametric analyses to gain a preliminary understanding of data using R and Python.
4. Supervised Learning In the fourth stage, we introduce the most demanding Supervised Machine Learning models. This is where the discussion on the core elements of Machine Learning begins, and where you will start to enjoy the true thrill of the field.
5. Unsupervised Learning The fifth stage covers Unsupervised Learning. This section discusses the most in-demand Unsupervised Machine Learning models of the current era.
6. Natural Language Processing (NLP) In the sixth stage, we dive into Natural Language Processing. The massive computational power of computers will fascinate you here as you see how a computer can identify sentiments and provide opinions.
7. Time Series and Forecasting Next, you will learn Time Series and Forecasting—a highly critical topic today. This section will provide maturity to your real-world research. You can see what a massive opportunity awaits you!
8. Research-Grade Data Visualization Finally, you will learn Research-Grade Data Visualization! In this stage, you will learn how to make the plots generated by Python/R publication-ready.
NBICT LAB is committed to helping you reach your desired goals and being a partner in your journey to success.
Learn Data Science & Machine Learning with Sadhan Verma Using Python & R
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Online Live Workshop (Google Meet)
NBICT LAB (North Bengal Information and Communication Technology Laboratory) has established itself as a premier destination for Data Science and Machine Learning in Bangladesh by bridging the gap between academic theory and industry-level practical application.
Here is why it stands out for anyone looking to master Python and R:
1. Tailored for Research & Academia
Unlike many generic coding bootcamps, NBICT LAB specializes in data-driven research. It is a favorite among university teachers, PhD researchers, and students. The curriculum is designed to help you not just “code,” but to analyze complex research data and publish findings in high-impact journals.
2. Comprehensive Dual-Language Training
NBICT LAB offers specialized tracks for both Python and R, acknowledging that while Python is the king of industry production, R remains indispensable for statistical rigor and bioinformatics.
Python Track: Covers everything from basic syntax to advanced Deep Learning, NLP, and Computer Vision (e.g., Pneumonia detection from X-rays).
R Track: Focuses on Descriptive and Inferential Statistics, Data Preprocessing, and Machine Learning algorithms specifically within the R ecosystem.
3. Case-Study Driven Learning
The training isn’t just theoretical. For instance, their Python for Data Science & Machine Learning course includes over 12 real-world case studies, such as:
Agriculture: Crop yield prediction and plant disease detection.
Healthcare: Heart disease and breast cancer detection.
Business: Customer churn analysis and market segmentation.
Environment: AI for climate/pollution level forecasting.
4. Accessibility and Support
Instruction in Bangla: Complex concepts like Gradient Descent or Support Vector Machines are explained in clear, lucid Bangla, making it accessible to those who find English-only courses intimidating.
Lifetime Support: They provide a strong community and direct access to instructors even after the course ends.
Flexible Learning: All live sessions are recorded, allowing students to revisit difficult topics at their own pace.
5. Proven Leadership
The lab was founded by Sadhan Verma, an expert who has trained over 2,000 learners, including 300+ university teachers. His philosophy—“One goal: to be skilled”—is reflected in the lab’s hands-on, high-satisfaction training model.