2023 - 2024 Training Course Schedule
+254 712 260 031
The Data Analysis, Modeling, and Simulation using Excel course provide participants with practical skills to analyze data, build models, and perform simulations using Microsoft Excel. This course is designed to enhance participants' proficiency in data analysis techniques, advanced Excel functionalities, and modeling approaches. Participants will learn to leverage Excel's capabilities to gain valuable insights from data, create predictive models, and simulate scenarios for decision-making.
The primary objective of this course is to equip participants with the knowledge and skills to effectively analyze data, build models, and perform simulations using Excel. By the end of the course, participants will be able to:
Organizations that invest in training their employees in data analysis, modeling, and simulation using Excel can reap numerous benefits, including:
Who Should Attend:
This course is beneficial for professionals involved in data analysis, business intelligence, financial analysis, operations management, and related fields. It is suitable for:
Duration: 5 Days
Module 1: Introduction to Data Analysis and Modeling
Module 2: Advanced Excel Functions and Formulas
Module 3: Data Cleaning and Preparation
Module 4: Descriptive Statistics and Data Visualization
Module 5: Statistical Analysis in Excel
Module 6: Predictive Modeling with Excel
Module 7: Optimization Modeling in Excel
Module 8: Data Tables and What-If Analysis
Module 9: Simulation Modeling in Excel
Module 10: Visualizing Data Analysis Results
Module 11: Power Query and Power Pivot for Data Analysis
Module 12: Advanced PivotTable Techniques
Module 13: Advanced Data Analysis Tools in Excel
Module 14: Database Functions in Excel
Module 15: Advanced Data Visualization Techniques
Module 16: Data Analysis and Visualization with Power BI
Module 17: Automation and Macros in Excel
Module 18: Integration with External Data Sources
Module 19: Statistical Analysis using Excel Add-ins
Module 20: Advanced Modeling Techniques
Module 21: Data Analysis in Excel for Finance
Module 22: Data Analysis in Excel for Operations Management
Module 23: Data Analysis in Excel for Marketing
Module 24: Data Analysis in Excel for Sales
Module 25: Data Analysis in Excel for Human Resources
Module 26: Data Analysis in Excel for Project Management
Module 27: Data Analysis in Excel for Quality Management
Module 28: Data Analysis in Excel for Healthcare Management
Module 29: Data Analysis in Excel for Education Management
Module 30: Data Analysis in Excel for Nonprofit Organizations
· All our courses can be Tailor-made to participants' needs
· The participant must be conversant in English
· Presentations are well-guided, practical exercises, web-based tutorials, and group work. Our facilitators are experts with more than 10 years of experience.
· Upon completion of training the participant will be issued with a Foscore development center certificate (FDC-K)
· Training will be done at the Foscore development center (FDC-K) centers. We also offer inhouse and online training on the client schedule
· Course duration is flexible and the contents can be modified to fit any number of days.
· The course fee for onsite training includes facilitation training materials, 2 coffee breaks, a buffet lunch, and a Certificate of successful completion of Training. Participants will be responsible for their own travel expenses and arrangements, airport transfers, visa application dinners, health/accident insurance, and other personal expenses.
· Accommodation, pickup, freight booking, and Visa processing arrangement, are done on request, at discounted prices.
· Tablet and Laptops are provided to participants on request as an add-on cost to the training fee.
· One-year free Consultation and Coaching provided after the course.
· Register as a group of more than two and enjoy a discount of (10% to 50%)
· Payment should be done before commence of the training or as agreed by the parties, to the FOSCORE DEVELOPMENT CENTER account, so as to enable us to prepare better for you.
· For any inquiries reach us at email@example.com or +254712260031