Course Overview
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
10 days
Target Audience
- Professionals transitioning to Data-related Roles.
- Data Analysts.
- Researchers.
- Business Intelligence Professionals.
- Data Scientists.
Course Level:
Course Objectives
- 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.
Course Outline
Module 1: Introduction to 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.
- Case Study: Analyze the impact of data visualization on healthcare outcomes using Kenya EMR data.
Module 2: Connecting to Data Sources & Data Transformation: Data Management and Data Cleaning in Power BI (Power Query)
- Exporting data to Power BI.
- Using first rows as headers.
- Rename fields & replacing data values in cells, rows.
- Changing data types & changing the order of columns.
- Un-pivoting columns.
- Grouping and splitting columns into multiple.
- Extract feature (before/after delimiter).
- Adding new columns.
- Filters and parameters.
- Case Study: Cleaning and transforming sales data for a retail business to improve reporting accuracy.
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.
- Case Study: Visualizing customer demographics to enhance marketing strategies in a telecommunications company.
Module 4: Connecting to Data Sources
- Excel.
- Online sources.
- SQL.
- Case Study: Integrating data from multiple sources to analyze sales performance across different regions.
Module 5: Modeling in Power BI
- Table relationship (one to one, one to many, many to many).
- Data Analysis Expression (DAX).
- Measures and calculated columns.
- Mastering DAX using quick measures.
- Case Study: Creating a sales dashboard that utilizes DAX to calculate year-over-year growth for a financial analysis.
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.
- Case Study: Designing a dashboard with various chart types to showcase project progress in a construction company.
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.
- Case Study: Implementing geographic data visualization to track delivery performance across different locations in a logistics firm.
Module 8: Power BI for Mobile
- Configuring Power BI for Mobile.
- Visualize dashboards and reports on Power BI Mobile.
- Commenting on reports and dashboards in Power BI Mobile.
- Case Study: Analyzing the effectiveness of mobile dashboards in improving field sales team performance.
Module 9: Building and Sharing a Dashboard
- Workspace.
- Datasets.
- Reports.
- Create Dashboard.
- Modify and update Dashboard.
- Share your Dashboard.
- Power Q&A and Insights.
- Case Study: Collaborating on a shared dashboard to track key performance indicators (KPIs) in a marketing department.
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.
- Case Study: Enhancing financial reporting by integrating Excel models with Power BI for dynamic updates and visualizations.
Related Courses
Course Administration Details:
METHODOLOGY
The instructor-led trainings are delivered using a blended learning approach and comprise presentations, guided sessions of practical exercise, web-based tutorials, and group work. Our facilitators are seasoned industry experts with years of experience, working as professionals and trainers in these fields. All facilitation and course materials will be offered in English. The participants should be reasonably proficient in English.
ACCREDITATION
Upon successful completion of this training, participants will be issued an Indepth Research Institute (IRES) certificate certified by the National Industrial Training Authority (NITA).
TRAINING VENUE
The training will be held at IRES Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.
ACCOMMODATION AND AIRPORT PICKUP
Accommodation and airport pickup are arranged upon request. For reservations contact the Training Officer.
- Email: [email protected]
- Phone: +254715 077 817
TAILOR-MADE
This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our IRES Training Centre or at a convenient location. For further inquiries, please contact us on:
- Email: [email protected]
- Phone: +254715 077 817
PAYMENT
Payment should be transferred to the IRES account through a bank on or before the start of the course. Send proof of payment to [email protected]
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