SESSION 1: SPSS Fundamentals
- Introduction to the SPSS user interface
- SPSS options and
- Data entry and Data cleaning
- Data coding – Validation and editing: manual and imports
 SESSION 2: Variable Management
- Definition of variables (string, numeric, date, coma, dot and scientific notation; scale, ordinal and categorical variables)
- Data transformation using the recode function
- Using the compute module to create new variables
SESSION 3: Hypothesis Testing
- Basic non-parametric tests like chi-square and comparison of means Editing of output using the output viewer.
- Exporting output to other programs like MS Word and Excel
- Conducting exploratory and confirmatory factor analysis
SESSION 4: SPSS Descriptive statistics.
- Correlation analysis
- Simple linear regression analysis
- Interpretation of correlationandregressionoutputs
SESSION 5: POWER BI ENVIRONMENT
- Overview of Power BI Desktop and Power BI Service
- Introduction to the PBIX user interface
- BI features, options, and functions.
- Data entry and Data cleaning
- Data transformations and Merging Queries
- Loading, Shaping & Transforming Data with Power Query
SESSION 6: INTELLIGENT DASHBOARDS: COLLABORATIVE METRICS DASHBOARD REPORTS
- Reporting & Data Visualization with Power Map
- Data Mapping in Pivots
- Charting and visualisation
- Visuals, Map-Based Graphs, Heat & Regions Maps
SESSION 7: END-TO-END REPORTING SOLUTIONS
- Creating Info Graphics
- Data Classifications & Case Studies
- Presenting PBIx dashboards
- Interpretation of result
SESSION 8: PUBLISHING AND SHARING REPORTSÂ
- Print & Export Dashboards
- Power BI Mobile
- Publishing to Web
- Embed in SharePoint and export to PowerPoint
