Data Science Course in Nepal (With Python)

Course Overview

This course is a 12-week data science course in Nepal that moves from the fundamentals of Python up to a fully functional machine learning application. You use real data, create models and check their results, and conclude with a final product on GitHub that a real employer can view one that's more than just a certificate of completion for a class.


This course is taught by an AI Research Director who has real-world experience with Python, machine learning, and data visualization, and is focused on deployment and computer vision much more than what most data science courses in Nepal teach, which are limited to simple models and graphs.

Who Is This Course For

Students and Career Switchers: Fresh graduates and non-IT professionals who have no coding experience, but want to learn data and AI in a practical manner.

IT Professionals and Analysts: Developers, engineers, and analysts seeking to embed Python, machine learning, and deployment into their current skill set.

Working Professionals: Business, finance, and marketing professionals with an interest in pursuing data-driven decision-making in their current job or position.

Freelancers: If you want to have a solid portfolio to be able to freelance; entrepreneurs: If you want to use data and AI in your business.

Course modules

  • Python basics
  • Python functions
  • Git and GitHub
  • NumPy
  • Pandas
  • data cleaning in Jupyter and Google Colab. You'll be able to scrub and investigate an actual data set
  • which is the first step of any data analyst's work.

Course Instructor

Asmita Pradhan

Asmita Pradhan

Growth Marketing & Digital Marketing Educator

Asmita has trained 2,000+ students across Nepal in performance marketing, analytics, and brand growth.

View full bio

Tools you will learn

Hands-on with every tool in the workflow, from day one.

Python

Python


Skills You Will Master

  • Clean, explore, and prepare authentic data for analysis.

  • Construct and test regression and classification models

  • Choose the right judge of model performance: precision, recall, F1, ROC-AUC, NOT accuracy

  • Use decision trees, random forests, and XGBoost for real-world applications

  • Train and deploy a model as a live API with FastAPI and Docker.

  • Train a basic neural network and create an image classifier

  • Design, develop, and deliver a full end-to-end design project independently

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

This course is designed to lead directly to entry-level positions and provides a couple of different pathways to follow depending on what you desire next:

Data Analyst: Direct result, Data Cleaning, Analysis & Reporting

Business Analyst / BI Analyst: Translating data into recommendations that are put to use by the decision-makers.

Junior Data Scientist: Building and testing predictive models

Machine Learning Associate: Assisting model building and deployment in a larger team

Python Developer: Python general development by many data science graduates.

Freelancer or Entrepreneur: Your GitHub portfolio is proof of work and can be used to find freelance data projects

When it comes to job interviews, the capstone project that you deployed and published on GitHub is what you'll actually show, not just your certificate.

Job and Internship Placement Support

You're learning within a community. Up Skills Nepal has established a network of 15+ hiring partners in Nepal that are utilizing our platform to hire trainees for internships, jobs, and freelance.

Glimpses

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Get this course for just

NPR 25,000

Somebody already asked these questions

Frequently Asked Questions

The course is designed to equip you with the skills necessary to enter entry-level positions like data analyst, BI analyst, and junior data scientist. Although it is still subject to your portfolio and performance in the interview, 15+ companies hire trainees for internships, jobs, and freelancing through our platform.

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