Techniques and Tools for Effective Data Analysis and Modeling
- Introduction to Data Science: Python
- Data Collection and Cleaning: SQL, Python, and OpenRefine
- Exploratory Data Analysis: pandas, matplotlib, ggplot, and seaborn
- Statistical Analysis: Python libraries such as statsmodels and scipy
- Machine Learning: scikit-learn, TensorFlow, and Keras
- Deep Learning and Natural Language Processing: TensorFlow, PyTorch, and spaCy