As organizations increasingly rely on data to make decisions, professionals with practical SPSS expertise are in high demand.
NOTE: Payment covers 1-month course module, CBT exam and certificate issuance. You'll be automatically redirected to the course module after payment (kindly bookmark course module page immediately).
Course Overview: 8 Modules
- Module 01: Foundations of Data Analysis
- Core concepts, data types, roles, and developing a data-driven mindset.
- Module 02: Data Collection & Sources
- Primary vs. secondary data, working with databases, APIs, and web scraping.
- Module 03: Data Cleaning & Preparation
- Handling missing data, managing outliers, normalization, and transformation techniques.
- Module 04: Exploratory Data Analysis (EDA)
- Descriptive statistics, data distributions, correlations, and initial visualization.
- Module 05: Statistical Analysis & Inference
- Hypothesis testing, confidence intervals, and the basics of regression analysis.
- Module 06: Data Visualisation
- Chart selection, design principles, and the art of storytelling with data.
- Module 07: Tools & Technologies
- Practical overview of Excel, Python (Pandas), SQL, and Tableau.
- Module 08: Communicating Insights
- Building reports and dashboards, and presenting findings to stakeholders.