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Statistical Analysis using SPSS
This course offers participants hands-on experience in applying IBM SPSS, …
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Statistical Analysis using SPSS
33 Lessons
All Levels
What you'll learn
By the end of this course, participants should be able to:
Understand the fundamentals of statistical analysis and its applications.
Calculate and interpret descriptive statistics and exploratory data analysis.
Apply a range of inferential statistical tests, both parametric and non-parametric.
Formulate hypotheses, conduct hypothesis tests, and interpret results.
Create meaningful data visualizations and charts using SPSS.
Perform basic and advanced data analysis procedures using SPSS.
All Levels
Mobile Data Collection using ODK and Kobo Toolbox for Monitoring and Evaluation
This course on Mobile Data Collection using ODK and Kobo …
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Mobile Data Collection using ODK and Kobo Toolbox for Monitoring and Evaluation
17 Lessons
All Levels
What you'll learn
By the end of this course, participants should be able to:
Understand the concepts and benefits of mobile data collection for monitoring and evaluation purposes.
Set up and configure ODK Collect on Android devices and create projects on Kobo Toolbox.
Design and customize data collection forms using ODK Build and Kobo Form Builder.
Collect data in the field using mobile devices and troubleshoot common issues.
Create basic visualizations and reports from collected data.
Integrate mobile data collection into broader monitoring and evaluation frameworks.
Intermediate
Data management, analysis and Visualization using Advanced Excel
By enrolling in an advanced excel course, you will gain …
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Data management, analysis and Visualization using Advanced Excel
56 Lessons
Intermediate
What you'll learn
Efficiently Manipulate Data: Learn advanced data manipulation techniques to clean, transform, and analyze data effectively.
Automate Tasks: Discover how to automate repetitive tasks using macros, and Excel functions.
Enhance Data Visualization: Master advanced charting and graphing capabilities to create insightful visual representations of data.
Perform Complex Analysis: Explore advanced data analysis tools such as PivotTables, Power Query, and Power Pivot for in-depth data analysis.
Collaborate Effectively: Understand Excel's collaboration features, including sharing workbooks and tracking changes.
Improve Efficiency: Increase productivity with keyboard shortcuts and time-saving Excel tips and tricks
Power bi
22 Lessons
Intermediate
What you'll learn
Participants will be able to to import, clean, and transform data from various sources to make it suitable for analysis in Power BI.<br>
Participants will be able to explore the process of creating data models, relationships, and hierarchies to build a strong foundation for reporting. .<br>
Participants will be able to gain proficiency in creating different types of visualizations, such as charts, tables, maps, and more, to represent data effectively. .<br>
Participants will be able to dive deeper into advanced visualization techniques, including custom visuals and the use of DAX (Data Analysis Expressions) to perform complex calculations and create custom measures for deeper data insights. .<br>
Participants will be able to design interactive and aesthetically pleasing reports, including themes, layouts, and report navigation. .<br>
Participants will be able to publish Power BI reports to the Power BI Service and share them with others in your organization. .<br>
Intermediate
Power query and power Pivots
This training course is designed to equip participants with the …
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Power query and power Pivots
28 Lessons
Intermediate
What you'll learn
By the end of this course, participants will be able to:
Explore the fundamentals of Power Query and Power Pivot.
Import and transform data from various sources using Power Query.
Clean and prepare data for analysis with Power Query.
Create data models using Power Pivot.
Build relationships between data tables for comprehensive analysis.
Write DAX (Data Analysis Expressions) formulas for custom calculations.
Create interactive and dynamic reports and dashboards.
Enhance data visualization and storytelling in Excel.
Troubleshoot common issues and optimize data models.
Automate data refresh and update processes.
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