Data Science with Python – Complete Online Course for Beginners (with Projects & Certification)
Unlock the power of data and launch your tech career with our comprehensive Data Science with Python course — designed for absolute beginners and career switchers. Over the span of 3 months (36 live online sessions), you’ll learn everything from Python programming fundamentals to advanced data science, machine learning, and even deploying your own web applications.
Guided by industry professionals, this hands-on course takes a project-based learning approach to help you build real-world experience while mastering tools used by data scientists and analysts worldwide — including NumPy, Pandas, Matplotlib, scikit-learn, Streamlit, and FastAPI.
Whether you’re a student, job seeker, or professional looking to upskill, this course equips you with the skills, confidence, and portfolio to kickstart your journey in the world of Data Science & Artificial Intelligence.

A highly experienced Machine Learning Engineer with over 5 years of expertise in data science, deep learning, and AI. The instructor has led multiple real-world projects including AI agents, resume parsers, chatbots, and time-series forecasting systems, and has also mentored 100+ learners in advanced AI topics like Transformers, BERT, and GPT models. Skilled in delivering practical, hands-on learning with a strong focus on problem-solving, MLOps, and model deployment.
Class work: Write a python program to draw a triangle shape using print statements only.
Classwork: Experiment python expressions in interactive mode
Classwork: Write a program to swap 2 variables using temporary variable
Classwork: Develop basic calculator app for the user
Tools: DBeaver
AI Coding Assistants: Cursor, GitHub Copilot
Wrap up your learning journey with a course summary, certification guide, and tips to apply your skills in real-world projects and future career paths.
NRP 25000
Anish Thapaliya
36 classes, 2 hours each, | Every Friday, Saturday, Sunday
72 hours (3 months)
Online
Nepali
Digital, Physical
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