Data Science
20-30 days
Next session starts from Jul 2025
Master data science in 30 hours! Learn Python, ML, stats, and real tools through hands-on projects. Build and deploy models with confidence—perfect for beginners and career switchers.
Building Your Tech Solutions.
Hospitality is about creating exceptional.
Syllabus
(30 hours) 20 - 30 days
What is Data Science? Lifecycle and Use Cases
Roles: Data Analyst, Scientist, Engineer
Python for Data Science: Jupyter, Anaconda, Git
Libraries Overview
Linear Algebra Essentials
Probability & Statistics
Calculus & Optimization
Data Sources: CSV, APIs, Databases, Web Scraping
Cleaning Data: Handling Missing, Duplicates, Outliers
Feature Engineering: Encoding, Scaling, Binning
Data Transformation: Aggregation, Pivoting, Grouping
Mini Project 1: Student Performance Analysis
Univariate, Bivariate, Multivariate Analysis
Correlation Matrix, Pairplots, Heatmaps
Histograms, KDE Plots, Boxplots
Dashboarding Tools (optional): Streamlit or Dash
Classification Algorithms
Regression Algorithms
Mini Project 2: Student Performance Prediction
Image Data Basics: Pixels, Channels, Arrays
Preprocessing: Resizing, Normalizing, Augmenting
CNN from Scratch: Convolutions, Filters, Pooling
Transfer Learning: Using Pretrained Models
Face Recognition: Face Detection (Haar/YOLO), Embeddings, FaceNet
Project 3: Face Recognition System
Project 4: Image Classification (Cats vs Dogs or Custom)
Time Series Basics: Trends, Seasonality, Stationarity
Data Preparation: Indexing, Resampling, Rolling Mean
ARIMA & SARIMA (with ACF/PACF Explanation)
Facebook Prophet for Quick Forecasting
LSTM for Sequential Prediction
Project 5: Stock Price Prediction
Model Selection & Comparison
Saving Models with Pickle / Joblib
Streamlit or Flask for Web App Deployment
GitHub + Documentation Best Practices
Presenting Project Findings
Building Your Tech Solutions.
Hospitality is about creating exceptional.
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Building Your Tech Solutions.
Hospitality is about creating exceptional.
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