Tools and Techniques for Effective Data Analysis
- Introduction to Data Analysis: Excel and Python
- Data Collection and Cleaning: SQL, Python, and OpenRefine
- Data Visualization and Presentation: Tableau, ggplot, and matplotlib
- Statistical Analysis: Python libraries such as pandas and numpy
- Predictive Modeling and Machine Learning: scikit-learn, TensorFlow, and Keras
- Problem-Solving and Critical Thinking: analytical and critical thinking skills