Data Science
From Data to Intelligence
What You'll Learn
Dive deep into machine learning, predictive modelling, and AI fundamentals. Build real-world projects that solve business problems.
What You'll Master
Exploratory Data Analysis
Pandas, NumPy — clean, transform and visualize datasets to extract insights.
Machine Learning
Scikit-learn, supervised & unsupervised models — regression, classification, clustering.
Deep Learning
TensorFlow, neural networks — CNNs, RNNs, transfer learning for complex tasks.
Data Visualization
Matplotlib, Seaborn, Plotly — create compelling charts and interactive dashboards.
Statistical Analysis
Hypothesis testing, probability, Bayesian inference and A/B testing.
Model Deployment
Flask APIs, Docker, cloud services — serve ML models in production.
Course Modules
01
Python for Data Science
Python fundamentals, NumPy arrays, Pandas DataFrames, data wrangling
02
Statistics & Probability
Descriptive stats, probability distributions, hypothesis testing, Bayesian methods
03
Machine Learning Foundations
Linear regression, decision trees, random forests, SVM, cross-validation
04
Deep Learning & Neural Networks
TensorFlow, Keras, CNNs, RNNs, LSTMs, transfer learning, GANs basics
05
Capstone: End-to-End ML Pipeline
Data collection, feature engineering, model training, evaluation, deployment
Ready to Master Data Science?
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