Data Science & Machine Learning Course in Nepal with Python — AI, Analytics & Real Projects
Learn to clean data, ask sharper questions, and build honest analysis and starter ML workflows.
Your Learning Schedule
2 hrs live class/day + 2 hrs self-study at home (required).
Classrooms and labs stay fully open all day. Come study, pair-program, and build.
Minimum 2 hrs focused practice beyond class at home. This is what builds real mastery.
A stronger analyst-first ramp through Python, spreadsheet thinking, Pandas, and SQL
Statistics, EDA, and recommendation writing before model hype
Visualization, Streamlit delivery, and Power BI awareness for stakeholder communication
Mar 1, 2026 – Dec 31, 2099
Save NPR 5,250 on this course right now.
Live interactive sessions with trainers
Small-batch feedback on your practical work
Course materials, recordings, and lab support
Personalized guidance after Saarathi Gate on pacing, practice focus, and support
Upcoming Batch
Enrolling Now
Limited seats. Final class timing is confirmed within 48 hours based on availability.
About this Course
This course helps disciplined entry-level learners turn spreadsheet comfort and school-level math into more reproducible data work. The opening phase gives Python, tabular thinking, and SQL enough room before students are asked to interpret statistics or machine-learning results.
The outcome is not a notebook graveyard. The outcome is one trainer-reviewed capstone with a clear question, clean workflow, honest evaluation, and communication that a stakeholder can actually follow.
A stronger analyst-first ramp through Python, spreadsheet thinking, Pandas, and SQL
Statistics, EDA, and recommendation writing before model hype
Visualization, Streamlit delivery, and Power BI awareness for stakeholder communication
Regression, classification, segmentation, and evaluation with realistic expectations
Validation, reproducibility, and one trainer-reviewed capstone with clear documentation
Capstone spotlight
Capstone: Trainer-Scoped Data Analysis Project
> Note: Project themes may evolve each batch, but every learner still completes one trainer-approved final project from the approved pool. Smaller guided exercises can happen during the course, but the public completion standard stays anchored to one polished final outcome.
- Question Framing: Define the business problem, success metric, and limits of the dataset
- Data Cleaning & EDA: Clean messy data, document assumptions, and surface useful patterns
- Feature Work: Create and evaluate practical features that improve interpretation or model quality
- Starter Model: Train and evaluate one sensible classification or regression model
Why This Course?
Global Context: Organizations keep needing people who can clean messy data, investigate questions carefully, and explain findings in ways that improve decisions instead of creating more noise.
Nepal Context: Nepal's banks, telecoms, education businesses, SaaS teams, and operations-heavy organizations continue to increase their use of reporting, experimentation, and analytics. Teams need people who can combine Python, SQL, spreadsheet thinking, and clear communication - not just dashboard familiarity.
Your Opportunity: This course prepares you for data analyst, reporting, BI, and junior data-science workflow roles by building stronger fundamentals before model hype takes over.
The strongest junior candidates are usually not the ones who jump to complex models first. They are the ones who can clean the data, defend the metric, explain the limitation, and recommend the next action clearly.
How Saarathi Gate shapes your learning plan
Saarathi Gate is a diagnostic, not a pass-or-fail exam. It helps us understand your current skill level, how you learn best, where you are already strong, and where you need extra support before the batch begins.
Before the batch starts
You complete Saarathi Gate so we can understand your current skill level, how you learn best, your strengths, and the support you may need before classes begin.
During the course
Trainers use that diagnostic profile to guide pacing, practice focus, feedback, and the kind of support that helps you learn best.
Certification and proof of work
Certification for Data Science & Machine Learning Course in Nepal with Python — AI, Analytics & Real Projects depends on attendance, required coursework, trainer review, and the practical work described in the micro-syllabus and full syllabus.
Curriculum
A structured journey to mastery
| Week | Focus Area | What You'll Master |
|---|---|---|
| W1 | Python Fundamentals & Notebook Habits | Python setup, variables, conditions, loops, functions, file handling, Jupyter workflow, Git basics, and how real analysis work differs from tutorial copying |
| W2 | Python for Tabular Data & Spreadsheet Bridge | Records, reusable cleaning helpers, strings and dates, row-wise thinking, spreadsheet-to-code translation, and small CSV-based analysis exercises |
| W3 | NumPy, Pandas & Data Cleaning | Arrays, DataFrames, missing values, groupby, merge, reshape, and a more reliable tabular analysis workflow |
| W4 | SQL & Data Sourcing Workflow | PostgreSQL queries, joins, CTEs, aggregation, Python-SQL integration, and bringing CSV, Excel, or API data into one structured workflow |
Where this course can lead
These are examples of roles, responsibilities, or directions this course can help you grow toward.
Frequently Asked Questions
Complete Khan Academy Statistics and Probability (units 1-2) and Algebra Basics (variables and equations) before Day 1. Practice 10 Google Sheets formulas before the batch: SUM, AVERAGE, IF, VLOOKUP, COUNTIF, SUMIF, MIN, MAX, SORT, and FILTER. You should also be comfortable creating folders, organizing files, and opening CSV/Excel files on your laptop. A laptop with 8GB+ RAM is recommended. A Saarathi pre-course data challenge is assigned after enrollment, and all students complete the Saarathi Gate Assessment (diagnostic, no pass/fail) before Day 1.
Ready to start your journey?
Complete Saarathi Gate, confirm your level, and secure your seat for the upcoming batch.
Skills You'll Master
Included Support
Live interactive sessions with trainers
Small-batch feedback on your practical work
Course materials, recordings, and lab support
Personalized guidance after Saarathi Gate on pacing, practice focus, and support
Career guidance for portfolio presentation, interviews, and next-step planning