💡 Foundation for Data Careers

Data+ is the ideal starting point for data analytics careers. It validates your ability to transform raw data into meaningful insights that drive business decisions across any industry.

Module 1: Data Concepts and Environments (15%)

• Data Types and Structures
• Data File Formats and Sources
• Database Schemas and Dimensions
• Data Warehousing Concepts
• ETL vs ELT Processes
• Data Integration and APIs

Module 2: Data Mining (25%)

• Data Acquisition Methods
• Data Cleansing and Validation
• Data Profiling and Quality Assessment
• Data Transformation and Normalization
• Handling Missing Data and Outliers
• Data Imputation Techniques
• SQL Query Fundamentals

Module 3: Data Analysis (23%)

• Descriptive Statistics and Measures
• Inferential Statistics and Sampling
• Hypothesis Testing and P-Values
• Correlation and Regression Analysis
• Time Series Analysis
• Performance Metrics and KPIs
• Trend Analysis and Forecasting

Module 4: Data Visualization (23%)

• Chart Types and Selection
• Dashboard Design Principles
• Data Storytelling Techniques
• Report Creation and Formatting
• Interactive Visualizations
• Business Intelligence Tools
• Best Practices for Data Presentation

Module 5: Data Governance, Quality and Controls (14%)

• Data Quality Dimensions
• Master Data Management
• Data Privacy Regulations (GDPR, CCPA)
• Data Security and Encryption
• Access Controls and Permissions
• Data Retention Policies
• Compliance and Auditing