Data Science and AI using Python Training in Thimphu, Bhutan

This course provides a thorough grounding in Data Science and Artificial Intelligence (AI) using Python. Participants will learn how to analyze, visualize, and model data, and apply machine learning algorithms to solve real-world problems. The course blends theoretical concepts with hands-on practice, covering everything from data preprocessing to deploying machine learning models.

Introduction to Python and Data Science

• Overview of Data Science and AI

• Setting up Python (Anaconda, Jupyter)

• Python basics: data types, loops, functions

• Working with NumPy and Pandas

Data Visualization & Statistics

• Data cleaning and wrangling

• Visualization using Matplotlib and Seaborn

• Statistical analysis and feature engineering

• Correlation and causation

Machine Learning Foundations

• Introduction to machine learning

• Supervised vs. unsupervised learning

• Regression and classification algorithms (Linear, Logistic, KNN)

• Model training, testing, and evaluation (metrics: accuracy, precision, recall)

AI and Deep Learning Concepts

• Neural networks and perceptrons

• Introduction to TensorFlow/Keras

• Building a simple deep learning model

• Overfitting, regularization, and dropout

Hands-on Exercises

Summary and Conclusion