Data Science Course in Nepal (With Python)
Ranked No.1 for IT Trainings in Nepal by Digital Magazine Nepal
From Non-IT to IT Backgrounds, Students to Professionals, Our Data Science Course Helps You Master Python, Analytics, Machine Learning, and AI from Basic to Advanced Level.
100 + ★★★★★ 5 Star Google Reviews – Click to See all Reviews
Price
NPR 25,000
Next (24th) Batch
Bhadra 22 / Evening
Next (25th) Batch
Mangsir 7 / Morning
Duration
12 weeks
Certification
Included
Placement
Jobs / Internship
Industry-Relevant Curriculum Built Around Real Data Science Skills
Learn Python, Data Analysis, Machine Learning, and AI through practical projects and real-world datasets. Our curriculum focuses on helping students develop analytical thinking, problem-solving abilities, and the technical skills required in today's data-driven industries.
- Variables, data types and control flow
- Functions, lists and dictionaries
- Command line basics
- Installing Python & VS Code
- Git and GitHub fundamentals
- NumPy arrays and operations
- Pandas DataFrames
- Reading, cleaning and filtering data
- Working in Jupyter Notebook / Colab
- Descriptive statistics, distributions and correlation
- Probability basics and data visualization
- ML vs. rule-based systems; supervised vs. unsupervised
- The CRISP-DM framework and setting up scikit-learn
- Linear regression intuition and EDA for a regression problem
- The normal equation, implemented by hand in NumPy
- LinearRegression and Ridge in scikit-learn
- Feature engineering, encoding and regularization
- Logistic regression and probability
- Odds and decision boundaries
- Encoding categorical features
- Feature importance
- Accuracy, precision, recall, F1
- The confusion matrix
- ROC curve and AUC
- Cross-validation and class imbalance
- Decision tree intuition
- Overfitting and pruning
- Random forests
- Feature importance
- Bagging vs. boosting
- Gradient boosting concepts
- XGBoost
- Hyperparameter tuning
- Model serialization with Pickle
- Building a REST API in Flask/FastAPI
- Containers vs. virtual machines; writing a Dockerfile
- Deploying a container to a cloud host
- Applying Weeks 1–9, start to finish
- Framing a problem and picking a dataset
- Modeling, evaluation and deployment
- Perceptrons, network architecture and backpropagation, intuitively
- Training with TensorFlow/Keras
- Convolutional networks for images
- Classic image processing with OpenCV — filtering, edge and contour detection
- Pretrained models and transfer learning
- Polishing the final project
- Presenting it on GitHub and a portfolio
- A deployment demo
- Career and interview guidance
Learning Outcomes
By the end of the course, learners should be able to:
- Write Python programs and use Git/GitHub for version control
- Clean, explore and visualize a real dataset
- Build and evaluate regression and classification models with scikit-learn
- Apply decision trees, random forests and gradient boosting (XGBoost)
- Evaluate models properly, precision, recall, F1, ROC-AUC and handle imbalanced data
- Package and deploy a trained model as a live API using FastAPI and Docker
- Build and train a basic neural network and image classifier with TensorFlow/Keras
- Process and analyze images with OpenCV, filtering, edge and contour detection
- Plan, build and deploy an end-to-end ML project on their own
Tools You Will Learn
Python, Jupyter Notebook, Google Colab, Pandas, NumPy, Matplotlib, Seaborn, SQL, Power BI, Tableau, Scikit-Learn, TensorFlow, ChatGPT, GitHub
Career Opportunities After This Course
Data Analyst • Business Analyst • Junior Data Scientist • BI Analyst • Python Developer • Machine Learning Associate • Analytics Executive • Freelancer • Entrepreneur
Meet Some of Our Graduates
100+ aspiring professionals have built real-world Data Science and Analytics skills through our training. From students and fresh graduates to working professionals, many have gone on to secure internships, career opportunities, freelance projects, and data-driven roles across various industries.
Sandesh Koirala
Freelance Developer
Fiverr, Upwork
Pratiksha Koirala
Digital Media & AI
Model Institute of Technology
Kapil Karki
Operations Management
Pathao
Lasata Prajapati
Business Analyst
Alaya
Saurya Tuladhar
Summer Intern
Himalayan Capital Limited
Meet Our Trainer
Learn from Er. Thomas Bashyal, a Data Science and Technology professional with expertise in Python, Data Analytics, Machine Learning, Artificial Intelligence, and Data Visualization. With a strong technical background and practical industry experience, he helps students understand complex concepts through hands-on projects, real-world datasets, and practical problem-solving exercises.
Er. Thomas Basyal
AI Research Director – GBS/CIDP
6+ Years Of Experience
10,000+ Students Trained
Why Learn Data Science?
✅ Learn from an AI Research Director & ML Specialist
✅ Hands-On Training with Real-World Datasets
✅ Industry-Relevant Projects in AI, ML & Analytics
✅ Practical Python, Data Analysis & Visualization Skills
✅ Exposure to Modern AI & Generative AI Concepts
✅ Project-Based Learning Approach
✅ Beginner-Friendly to Advanced Curriculum
✅ Career-Focused Training with Industry Applications
Stories From Our Alumni
100+ Students Trained | 15+ Hiring Partners | Alumni Working Across Nepal & International Companies
Here from one of our Student Saurya, who was studying Quantitative Economics and International Business and Management at Dickinson University, USA and who came all the way from USA on his summer break just to learn and explore Data Science in detail.
Some Glimpses of our Trainings
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✅ Resource Library
Our Placement Partners
15+ Companies in Nepal use our Platform for Hiring our Trainees for Internship, Jobs & Freelancing
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Our Community, Recognitions & FAQ's
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Trusted by students, organizations, and partner institutions across Nepal.
FAQs on Our Data Science Course in Nepal
Yes, a data science course is available in Nepal. Experience world-class Data Science training by an industry leader on the most in-demand Data Science and Machine learning skills.
Data science is growing in demand and into excellent career prospects for aspiring data scientists in Nepal.
The salary of a data scientist in Nepal ranges from NPR 35,000 per month, while senior-level professionals can earn NPR 2,00,000 or more per month.
To become a data scientist, you must have 50 – 60% marks in class 10+2 exams and basic knowledge of Statistics, Mathematics, and Programming.
Data science is a difficult job. However, with hard work and passion, you can make a great career out of it.
The proper and complete data science training program starts from 2 months and can extend to 3-4 months
Yes, computer science majors can, and should, try to pursue a career in data science because they have the necessary skills and there is high market demand.
Applying for our Data science Training in Nepal Program is simple. Visit our website and navigate to the “Data Science Training” page. You’ll find an application form there. Fill out the required details, and our team will get in touch with you regarding the next steps.
Overview of Our Data Science Course in Nepal (With Python)
Data is at the core of modern business, technology, healthcare, finance, and artificial intelligence. Our Data Science Course in Nepal is designed to help students and professionals develop practical skills in Python, Data Analysis, Data Visualization, Machine Learning, and AI Fundamentals through hands-on learning and real-world applications.
Participants learn how to work with data using industry-relevant tools and technologies, analyze datasets, create meaningful visualizations, and build predictive models. The course combines strong theoretical foundations with practical projects that help learners understand how data-driven solutions are applied across different industries.
Whether you are a student exploring future career opportunities, a working professional looking to upskill, or an entrepreneur seeking data-driven insights, this training provides the technical and analytical skills needed to confidently work with data in today’s rapidly evolving digital world.
About Our Data Science Course
Our Data Science Course in Nepal is designed to help students and professionals build practical skills in Python, Data Analysis, Data Visualization, Machine Learning, and AI Fundamentals. Through hands-on projects, real-world datasets, and industry-focused learning, participants gain the technical and analytical skills required to work with data confidently.
The program combines theory with practical implementation, enabling learners to understand how data is collected, analyzed, visualized, and transformed into meaningful insights for decision-making across different industries.
Who Can Join This Course?
- Students & Fresh Graduates
- Working Professionals Looking to Upskill
- Career Switchers Entering Data & AI Fields
- Business Owners & Entrepreneurs
- Analysts & Researchers
- IT & Non-IT Professionals
- Anyone Interested in Data Science, Machine Learning & AI
Why Choose Our Data Science Training?
- Learn from an AI Research Director & Machine Learning Specialist
- Hands-On Training with Real-World Datasets
- Practical Python, Data Analysis & Visualization Skills
- Industry-Relevant Projects & Case Studies
- Exposure to Machine Learning & AI Concepts
- Beginner-Friendly to Advanced Curriculum
- Project-Based Learning Approach
- Certificate of Completion & Career Guidance
- Focus on Real-World Business & Analytical Problem Solving
- Skills Applicable Across Multiple Industries