Course Overview
This intensive five-day course is designed to provide participants with a comprehensive understanding of business analytics using Microsoft Excel. Participants will learn to harness the power of Excel to analyze data, create advanced models, and generate actionable business insights. The course covers a range of analytical techniques and tools, including data visualization, statistical analysis, and predictive modeling.
Course Duration
5 Days
Who Should Attend
- Business analysts and data analysts looking to enhance their Excel skills.
- Managers and decision-makers who need to understand data analysis for strategic planning.
- Financial analysts and accountants who want to improve their analytical capabilities.
- Marketing professionals seeking to leverage data for better marketing strategies.
- Anyone interested in learning how to use Excel for advanced business analytics.
Course Objectives
By the end of this course, participants will:
- Understand the basics of epidemiological data analysis.
- Navigate and use Stata software efficiently.
- Manage and manipulate epidemiological data in Stata.
- Perform descriptive and inferential statistical analyses.
- Conduct regression analysis and interpret the results.
- Apply epidemiological methods to real-world data.
- Present and visualize epidemiological findings effectively.
Course Outline:
Module 1: Introduction to Business Analytics and Excel
- Overview of business analytics
- Introduction to Excel for analytics
- Basic data handling and management
- Using Excel functions for data analysis
Module 2: Data Analysis and Visualization
- Advanced data manipulation techniques
- Creating and formatting charts and graphs
- Using pivot tables for data summarization
- Introduction to Excel’s data visualization tools
Module 3: Statistical Analysis with Excel
- Descriptive statistics and data distributions
- Hypothesis testing and confidence intervals
- Correlation and regression analysis
- Using Excel’s Analysis ToolPak for statistical analysis
Module 4: Predictive Modeling
- Introduction to predictive modeling concepts
- Building and evaluating linear regression models
- Time series analysis and forecasting
- Using Excel for scenario and sensitivity analysis
Module 5: Advanced Excel Tools and Real-World Applications
- Introduction to Power Query and Power Pivot
- Automating analysis with macros and VBA
- Case studies and real-world applications
- Best practices for business analytics with Excel
Customized Training
This training can be tailored to your institution needs and delivered at a location of your choice upon request.
Requirements
Participants need to be proficient in English.
Training Fee
The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.
Certification
A certificate from Ideal Workplace Solutions is awarded upon successful completion.
Accommodation
Accommodation can be arranged upon request. Contact via email for reservations.
Payment
Payment should be made before the training starts, with proof of payment sent to [email protected].
For further inquiries, please contact us on details below:
