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Level 2 – Data Science
- NumPy arrays and operations
- Working with Pandas
- Introduction to matplotlib
- Introduction to Machine learning
- Supervised learning basics
- Introduction to Machine Learning
- Data and dimensions
- Data cleansing and imputation
- Data transformation
- ML model concepts
- Supervised learning methods
- Unsupervised learning methods
- Python Scikit API
- Estimation and Prediction
- Linear Regression
- Clustering
- Predictive analytics
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Level 3 – Project work
- Live project