Data Analysis & Manipulation with SPSS and Visualization with Power Bi Course

INTRODUCTION 

The course would start by introducing participants to the basics of data manipulation using SPSS. This would include topics such as data cleaning, data transformation, merging datasets, and creating new variables, then transition to introducing Power BI as a tool for data visualization and reporting. Participants would learn how to connect to various data sources, import data into Power BI, and create interactive visualizations.

DURATION

8 days

TARGET PARTICIPANTS

• Professionals transitioning to Data-related Roles.
• Data Analysts.
• Researchers.
• Business Intelligence Professionals.
• Data Scientists.

COURSE OBJECTIVES

By the end of this training, participants will be able to:

• Understanding the fundamentals of data manipulation: The course may aim to provide a solid foundation in data manipulation techniques using SPSS, including data cleaning, merging, filtering, and transforming.
• Exploring advanced data manipulation techniques: The course might cover more advanced topics such as data aggregation, reshaping, and creating derived variables in SPSS to enhance data analysis capabilities.
• Learning Power BI for data visualization: The course may introduce the basics of Power BI, including data connection, visualization creation, and interactive dashboard design.
• Creating meaningful visualizations: The course might focus on best practices for creating effective and insightful visualizations using Power BI, including selecting appropriate chart types, designing interactive dashboards, and incorporating data storytelling principles.
• Integrating SPSS and Power BI: The course may explore methods for integrating SPSS outputs and analyses with Power BI, enabling seamless data analysis and visualization workflows.

TOPICS TO BE COVERED

Module 1: Introduction Data Manipulation with SPSS and Visualization with Power Bi 

• Installation and familiarization with Training Software (Power BI).
• Refresher on Open HMIS and Kenya EMR.
• Use Kenya EMR data tools to export data to other applications.

Module 2: Connecting to Data sources & Data Transformation: Data Management and Data Cleaning in Power BI (Power Query)

• Exporting data to PowerBI.
• Using first rows as headers.
• Rename fields & replacing data values in cells, rows.
• Changing data types & change order of columns.
• Un-pivoting columns.
• Grouping and splitting column into multiple.
• Extract feature (before /after delimiter)
• Adding new columns.
• Filters and parameters.

Module 3: Analyzing and Visualizing Data using Microsoft Power BI

• Introduction to Power BI
• Components of Power BI
• Features of Power BI
• Power BI workflow
• Self Service ETL (Extract Transform Load)
• Setup and Configuration of Power BI

Module 4: Connecting to Data Sources

• Excel
• Online sources
• SQL

Module 5: Modeling in PowerBI

• Table relationship (one to one, one to many, many to many)
• Data Analysis Expression (DAX)
• Measures and calculated Columns Mastering DAX using quick measures

Module 6: Visualization and Charts (Power View)

• Stacked bar chart and stacked column chart.
• Clustered bar chart and clustered column chart.
• Line chart & area chart.
• Line and clustered column chart.
• Line and stacked column chart.
• Ribbon & waterfall chart.
• Funnel & tree map visuals.
• Pie chart and doughnut chart

Module 7: Visualization and Charts (Power View)

• Table chart and matrix chart
• Slicer, gauge, card visuals.
• Map and filled map.
• ArcGIS maps for Power BI.
• KPI.
• Q & A visual.
• Use and application of Slicers.

Module 8: Power BI for Mobile

• Configuring Power BI for Mobile
• Visualize dashboards and report on Power BI Mobile
• Commenting on reports and dashboards in Power BI Mobile.

Module 9: Building and Sharing a Dashboard

• Workspace
• Datasets
• Reports
• Create Dashboard
• Modify and update Dashboard
• Share your Dashboard
• Power Q&A and Insights.

Module 10: Excel Power BI

• Power Query and Power Pivot on Excel
• Visualize and Edit Power BI reports using Excel analyzer
• Building reports on Excel and Publishing to Power BI service.

Closure

Accreditation

Training Venue

Accommodation

Payment

Cancellation Policy

Tailor- Made