Data Science Course

About the Program
This Data Science course covers Python, Machine Learning, Data Cleaning, Data Visualization, Statistics, and real-world projects.
Week 1: Python for Data Science
- Python Basics
- NumPy Arrays
- Data Cleaning with Pandas
Week 2: Statistics & Probability
- Descriptive Statistics
- Probability Theory
- Hypothesis Testing
Week 3: Data Visualization
- Matplotlib
- Seaborn
- Exploratory Data Analysis (EDA)
Week 4: Machine Learning Basics
- Supervised Learning
- Regression & Classification
- Model Evaluation
Week 5: Advanced Machine Learning
- Feature Engineering
- Random Forest
- Hyperparameter Tuning
Week 6: SQL for Data Science
- SQL Joins
- Aggregations
- Window Functions
Week 7: Deep Learning (Optional)
- Neural Networks
- TensorFlow Basics
- Image Classification
Week 8: Real-World Projects & Job Prep
- ML Projects
- Analytics Dashboards
- Resume + Interview Prep