Issued by Pomiager.US
In today’s rapidly evolving business landscape, staying ahead of the curve requires embracing innovation and leveraging new technologies. Innovation is a social process within and across companies. It requires visionaries, challengers, communicators, champions and many more contributors who are prepared to share, evaluate and elevate ideas. At Pomiager we incentivize and support you in your innovation journey. Our comprehensive approach covers process tracing and mapping to pinpoint value opportunities, architecting a modern data foundation, leveraging agentic architecture, and upskilling your workforce to drive sustainable growth and operational excellence.
Duration:
10 h
Description:
Excel is vital in today's professional landscape, enabling efficient data analysis, financial modeling, and decision-making across various industries, enhancing productivity and strategic planning.
Goals:
1. Develop fundamental skills in Excel for data management.
2. Enhance ability to perform complex calculations and analyses.
3. Improve efficiency through mastery of advanced formulas and functions.
4. Increase proficiency in data visualization techniques.
5. Foster understanding of Excel's role in problem-solving and decision-making.
6. Strengthen aptitude for automating tasks and workflows using Excel tools.
Competences:
Proficiency in Excel involves creating and managing spreadsheets, utilizing formulas and functions, and analyzing data. It supports decision-making, enhances efficiency, and is crucial for roles in finance, data analysis, and operations management.
Soft skills:
Source soft skills:
Knowledge :
1. Understanding spreadsheet structure
2. Knowledge of formulas and functions principles
3. Theories of data visualization
4. Sorting data concepts
5. Principles of conditional formatting
6. Fundamentals of data validation
7. Basic concepts of cell referencing
8. Theories of chart creation
9. Awareness of Excel's data analysis tools
10. Understanding pivot tables concepts
Skills:
1. Data entry and worksheet navigation.
2. Formulation and use of basic formulas and functions.
3. Data formatting and conditional formatting.
4. Creation and customization of charts and graphs.
5. Data sorting and filtering.
6. Use of pivot tables and pivot charts.
7. Spreadsheet collaboration and sharing techniques.
8. Data analysis using built-in analytical tools.
9. Application of logical and lookup functions.
10. Automation of repetitive tasks using macros.
11. Protection and security of Excel data.
12. Integration of Excel with other software applications.
Evaluation criteria:
test
