Data Science Course in Nepal (With Python)
Overview On Data Science Course in Nepal (With Python)
Our Data Science with Python course in Nepal offers a comprehensive approach to mastering the intricacies of data analytics. Designed to empower participants with essential skills for success in the data science field, this program delves into Python basics, data manipulation with Pandas, visualization using Matplotlib and Seaborn, and machine learning algorithms with Scikit-learn. Through hands-on projects, participants solidify their understanding and gain practical experience in Data Science in Nepal.
Joining data science training will help in giving the leading edge in decision-making and provide experience in hands-on learning with the latest tools and platforms. Upgrade your skill set and forge a great career with our data science course in Nepal.
60 Days
Learn From Award Wining Company
Morning
and Evening Session
Be A Lifetime UpSkillian
NPR. 32000/-
NPR. 25,000/-
Our Course Module (From Award Winning Tech Company)
- 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.
Trainer From
Leading Tech Company
Expertise In AI / ML / Data Science
Mr. Thomas Basyal is currently working as a Senior Machine Learning Engineer at the Nepal Intensive Care Research Foundation (NICRF), an organization dedicated to advanced healthcare technology. With almost 6+ years of experience in the Data Science and AI field, he has also served as a Data Scientist in multiple institutions and companies. Proficient in machine learning, large language models, and generative AI, Mr. Thomas specializes in building smart AI solutions that drive innovation and create real-world impact. Lately he is also busy with his Research at IIT with the Doctors.
Register Now:
Upcoming Classes:
Morning Shift: Ashadh 25th, 2082 (7:00AM - 8:30AM)
Evening Shift: Shrawan 6th, 2082 (6:30PM - 8:00PM)
About Our Data Science Course In Nepal
Our Data Science course in Nepal covers all major concepts, tools, and strategies used in the field of data science. The coursework covers many subjects which also include data science with Python, machine learning, statistics, big data and data visualization. The data science courses in Nepal have practical exercises and case studies which are based on specific industries offering real world experience in Data Science in Nepal.
Data science courses provide valuable insights about using data science methods which is an opportunity to sign up for one of the finest data science courses in Kathmandu, which will help grow your skills and knowledge in this booming area.
Who Should Enroll In Data Science Training?
- Market research analysts: These are specialists in the gathering and analyzing of market data to aid a firm in appreciating consumer preferences. Data science course in Nepal enriches them with the analysis of huge volumes of data for insight.
- Financial Analyst: Those in the finance function are into the analysis of hard data to set up forecasts. Data science trains them to skillfully perform statistical modelling and machine learning for accurate predictions with data science with Python.
- Healthcare Administrators: They are patient data and operation managers. So, training in data science will help them in decision-making with the help of analytics for better healthcare and delivery.
Why Enroll For This Training?
At UpSkills Nepal, we’re committed to empowering individuals and organizations for success in today’s competitive world. Our Data Science Training in Nepal stands out as a transformative experience, and here’s why you should enroll:
- In-Demand Skills: There is a constant demand for data scientists, so data science courses in Nepal shall help equip one with one of the fast-moving disciplines in demand by joining one of the rapidly growing industries not only in Nepal but all over the world.
- Boost Your Career: Knowing what data science is opens one to various job roles commanding more money, data science with Python acts as a strategy to enhance the investment in one’s career.
- Understanding of Data Analysis: Data science course in Nepal may help you learn the way of gathering data, processing it, and analyzing it so that you make the right decisions at the workplace.
- Practical Exposure: Data science course in Nepal include practical classes and case studies, bridging theoretical knowledge with its real-world use.
- Stay Ahead of Trends: Stay updated on the latest trends and developments in Data Science using Python, to keep your skills relevant and of value in the job market.
- Better Decision-Making: Learn how to extract actionable insights from a complex dataset to empower data-driven decision-making for growth and innovation in business.
- Solve problems: Grow problem-solving skills using various different tools and techniques learned from courses on data science with Python which not only helps to enhance problem-solving skills but also makes people creative.
Looking to advance your knowledge and pursue your future as a data scientist? Hurry up and Book your Seat!
Become A Lifetime Member
"Lifetime Member will get access to all the events and industry meet ups even after completing the Training session."
Regular Events & Programs
Get access to different events and programs like industry meetups, coaching & mentorship sessions.
Timely Recreational Activities
We conduct activities like Hiking, Futsal, Short Ride etc. where you will be able to be a part and meet new faces.
Networking Sessions
We conduct various networking sessions where different industry led experts and professionals come together.
Experience Sharing Sessions
Hear what experts from different industries has to say and learn from them.
Get Featured
Get yourself featured through our different streams like podcasts, videos, articles, social medias etc.
Jobs & Internship Opportunities
With our network of various Jobs & Internship placement partners, you will be given a chance to work with them.
Workshops & Competitions
We conduct different competitions for different fields likes programming, digital marketing, graphics designing etc.
Lifetime Support From Trainers
Whenever you feel like you are stuck somewhere, our trainers will be right there to hold your back.
FAQS on Digital Marketing Training 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 data science training program is around six to twelve 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.