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.
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Price
NPR 25,000
Next (21st) Batch
Jestha 25 / Morning
Next (22nd) Batch
Ashad 1 / Evening
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.
- Introduction to Python and Environment Setup.
- History of Python.
- Why Learn Python?
- Python’s Role in Modern Development.
- Key Features of Python.
- Setting Up the Python Environment.
- Package Management with pip.
- Virtual Environments.
- IDEs and Tools for Python.
- Running Python Code.
- Syntax and Structure.
- Comments and Documentation.
- Variables and Data Types.
- Type Conversion and Checking.
- Operators.
- Defining and Using Functions.
- Return Values.
- Lambda and Anonymous Functions.
- Recursive Functions.
- Tail Recursion and Optimization.
- Error and Exception Handling.
- Strings.
- Lists.
- Tuples.
- Dictionaries.
- Sets.
- Classes and Objects.
- Inheritance.
- Polymorphism.
- Encapsulation.
- Operator Overloading.
- Class and Static Methods.
- File Operations.
- Working with CSV.
- Modules and Packages.
- Standard Library Overview.
- Iterators and Generators.
- Decorators.
- Context Managers.
- Regular Expressions.
- Comprehensions.
- Advanced Functions.
- Core Scientific Computing – Numpy, SciPy, SymPy, math/cmath, statistics.
- Data Manipulation & Analysis – Pandas, GeoPandas, Dask/Vaex/Modin, Koalas, Polars/Datatable, PyJanitor.
- Geospatial Processing – Shapely, Fiona, PyProj, rasterio, geoplot.
- Data Visualization – Matplotlib/Seaborn, Plotly/Altair,Bokeh, ggplot(plotine), Holoviews/hvplot, Dash, Graphviz/NetworkX.
- Machine Learning – Scikit-learn, XGBoost/LightGBM/CatBoost, H2O.ai, Imbalanced-learn/Mlxtend/Yellowbrick.
- Deep Learning – TensorFlow/Keras, PyTorch/FastAI, TorchVision/TorchAudio/TorchText, ONNX/TFX.
- NLP (Natural Processing) – NL TK/ SpaCy/ TextBlob, Genism/Flair/Stanza, Transformers/sentence-transformers.
- Computer Vision – OpenCV/Pillow, scikit-image/imageio/albumentations, Supervision.
- Time Series and Forecasting – Prophet/statsmodels/tslearn/sktime/PyFlux.
- Web Scraping and APIs – Requests/httpx, BeautifulSoup/Scrapy/Selenium/PyQuery.
- Databases and Storage – SQLAlchemy/SQLite3/psycopg2/PyMySQL, MongoDB/TinyDB, HDF5/Feather/Parquet, Openpyxl/xlrd/pyxlsb.
- Big Data and Distributed Computing – PySpark/Dask/Vaex/Ray, Fugue/Hadoop tools.
- LLMs and LangChain Ecosystem – LangChain/ Llamlndex/Haystack, ChromaDB/DeepLake/Pinecone/Weaviate/FAISS/Qdrant/Milvus/Redis.
- API, Web and GraphQL
- Model Development
- MLOps and Experiment Tracking
- Workflow Orchestration
- Data Cleaning and Validation
- Utilities and CLI
- Audio and Speech Processing
- Video Processing
- 3D data and Point Clouds
- Knowledge Graphs and Graph ML
- Recommender Systems
- Bioinformatics and Health
- Security and Ethical Hacking
- Quantum Computing
- Finance and Trading
- Simulation and Optimization
- Educational Tools
- SQL Basics.
- Advanced SQL Operations.
- SQL Optimization and Advanced Queries.
- Data Integrity and Security.
- SQL Performance Tuning.
- Tableau – Data Visualization for Data Science.
- Power BI – Business Intelligence and Analytics Tool.
- Git Basics.
- Branching and Merging.
- GitHub: Collaboration and Management.
- Advanced Git Features.
- GitHub Actions for CI/CD.
- Advanced Development with Flask and Streamlit.
- Testing and Debugging with Git and Flask.
- Project 1: Basic Calculator.
- Project 2: Tic-Tac-Toe Game.
- Introduction to Data Science.
- Data Science Lifecycle.
- Tools and Technologies.
- Data Science Roles.
- Data Ethics, Privacy, and Governance.
- Data Sources and Formats.
- Case Studies and Domain-specific Applications.
- Descriptive & Inferential Statistics.
- Bayesian Statistics.
- Probability Theory.
- Linear Algebra.
- Calculus and Optimization.
- Data Cleaning and Handling Missing Data.
- Handling Outliers.
- Data Transformation.
- Exploratory Data Analysis (EDA).
- Feature Engineering.
- Dimensionality Reduction.
- Additional Preprocessing Topics.
- Overview of Machine Learning.
- Supervised Learning.
- Unsupervised Learning.
- Model Evaluation and Validation.
- Model Optimization and Hyperparameter Tuning.
- Feature Engineering.
- Regularization Techniques.
- Optimization Algorithms.
- Overfitting & Underfitting Solutions.
- Transfer Learning.
- Explainable AI (XAI).
- Ensemble Learning Techniques.
- Dimensionality Reduction & Feature Selection.
- Model Deployment & Pipelines.
- Time Series Forecasting.
- Fundamentals of Deep Learning.
- Deep Learning Frameworks.
- Feedforward Neural Networks (FNNs).
- Convolutional Neural Networks (CNNs).
- Recurrent Neural Networks (RNNs).
- Generative Models.
- Transformers and Attention Mechanisms.
- Reinforcement Learning (RL).
- Text Preprocessing.
- Text Classification & Sentiment Analysis.
- Sequence Models in NLP.
- Pretrained Language Models.
- Text Generation.
- Question Answering Systems.
- Named Entity Recognition (NER).
- Multilingual NLP.
- Basic Concepts in Image Processing.
- Convolutional Neural Networks (CNN).
- Object Detection.
- Image Segmentation.
- Face Detection and Recognition.
- Image Generation with GANs and StyleGANs.
- Self-Driving Cars.
- Medical Imaging.
- Security and Surveillance.
- Data Science Projects – Customer Churn Prediction in Telecom, Financial Risk Assessment in Banking.
- Regression Projects – Energy Consumption Forecasting, Stock Market Prediction.
- Classification Projects – Heart Disease Prediction, Fraud Detection in Credit Card Transactions.
- Unsupervised Learning Projects – Customer Segmentation, Movie Recommendation System.
- Latest Computer Vision Projects.
- Latest NLP and Generative AI Projects – Text Summarization, Language Translation.
- Generative AI Projects – Poem Generation, Generative Image Creation, Chatbots and Virtual Assistants.
- Large Language Models (LLMs) Projects – Custom Text Generation, Question Answering System, Sentiment Analysis and Opinion Mining.
- Advanced Machine Learning.
- Generative AI & LLMs.
- LangChain & SAM v2.
- YOLO for Object Detection.
- Retrieval-Augmented Generation (RAG).
- LangGraph.
- Advanced Deep Learning.
- Real-Time AI Applications.
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 with Thomas Basyal?
✅ 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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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