Learn the fundamental steps of data analytics through hands-on practice with data manipulation, interactive dashboard creation, automated reporting, and machine learning model development. Master essential techniques for transforming raw data into actionable insights by working through the complete analytics workflow from data preparation to model evaluation. Develop practical skills in manipulating datasets to meet specific analysis requirements, building interactive dashboards for data exploration, and automating reporting processes to streamline decision-making. Explore various machine learning techniques and gain experience developing, training, and evaluating predictive models to extract meaningful patterns from data.
Overview
Syllabus
- 1. Describe the fundamental steps in performing data analytics.
- 2. Manipulate data to meet specific analysis requirements.
- 3. Create a dashboard to analyze data interactively.
- 4. Automate reporting process based on analyzed data.
- 5. Identify different machine learning techniques.
- 6. Develop a training model to analyze data and evaluate it.
Taught by
Nur Hanani Ahmad Puaad